Siemens Healthcare GmbH

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G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints 43
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G06T 7/00 - Image analysis 21
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1.

Method, Apparatuses and System for Presenting a Target, and a Storage Medium and a Program Product

      
Application Number 18377846
Status Pending
Filing Date 2023-10-09
First Publication Date 2024-04-11
Owner Siemens Healthcare GmbH (Germany)
Inventor Peng, Xi Shuai

Abstract

Techniques are provided for presenting a target in X-ray imaging. The techniques include acquiring N 3D images of an imaging target, with each 3D image being provided with a respective camera coordinate system and N being a positive integer greater than or equal to 2. The techniques also include generating a virtual 3D image on the basis of the N 3D images, with a camera coordinate system of the virtual 3D image taking an X-ray source as the origin, and converting the virtual 3D image into a 2D image. Finally, the technique includes presenting the 2D image. By means of the 2D image, the X-ray imaging target may be fully observed. In addition, distortion, such as warping or deformation, is not present in an imaging region and an automatic exposure region.

IPC Classes  ?

  • G06T 15/20 - Perspective computation
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

2.

AUTOMATIC PLANNING AND GUIDANCE OF LIVER TUMOR THERMAL ABLATION USING AI AGENTS TRAINED WITH DEEP REINFORCEMENT LEARNING

      
Application Number 17935945
Status Pending
Filing Date 2022-09-28
First Publication Date 2024-04-11
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Chaitanya, Krishna
  • Audigier, Chloé
  • Paillard, Joseph
  • Balascuta, Laura Elena
  • Ghesu, Florin-Cristian
  • Comaniciu, Dorin
  • Mansi, Tommaso

Abstract

Systems and methods for determining an optimal position of one or more ablation electrodes are provided. A current state of an environment is defined based on a mask of one or more anatomical objects and one or more current positions of one or more ablation electrodes. The one or more anatomical objects comprise one or more tumors. For each particular AI (artificial intelligence) agent of one or more AI agents, one or more actions for updating the one or more current positions of a respective ablation electrode of the one or more ablation electrodes in the environment are determined based on the current state using the particular AI agent. A next state of the environment is defined based on the mask and the one or more updated positions of the respective ablation electrode. The steps of determining the one or more actions and defining the next state are repeated for a plurality of iterations using 1) the next state as the current state and 2) the one or more updated positions as the one or more current positions to determine one or more final positions of the respective ablation electrode for performing a thermal ablation on the one or more tumors. The one or more final positions of each respective ablation electrode are output.

IPC Classes  ?

  • A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

3.

IMAGING METHOD AND IMAGING APPARATUS

      
Application Number 18369149
Status Pending
Filing Date 2023-09-16
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Regensburger, Alois
  • Wohlfahrt, Patrick

Abstract

In an imaging method, a first image is generated at a first capture time by an imaging apparatus, the first image representing part of an object to be depicted. A second image is generated at a second capture time after the first capture time, the second image representing the part of the object to be depicted. A further first image is generated based on the first image using a predefined model relating to a development over time of a contrast agent present in the object to be depicted when generating the first image, the further first image taking into account development over time of the contrast agent from the first capture time to the second capture time. A further second image is generated as a function of the second image and further first image, wherein an effect of the contrast agent on the second image is at least partially compensated.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
  • G06T 7/11 - Region-based segmentation
  • G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods

4.

METHOD FOR OPERATING A MAGNETIC RESONANCE APPARATUS, MAGNETIC RESONANCE APPARATUS, AND COMPUTER PROGRAM PRODUCT

      
Application Number 18370872
Status Pending
Filing Date 2023-09-20
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Carinci, Flavio
  • Paul, Dominik

Abstract

A method for operating a magnetic resonance apparatus, a magnetic resonance apparatus, and a computer program product are provided. According to the method, an initial MR scan protocol is provided. At least one boundary condition, such as a performance-limiting boundary condition, that is dependent on the patient and/or the MR apparatus is provided. Based on the initial MR scan protocol, at least two sub-protocols are generated. Each of the at least two sub-protocols is checked as to whether the at least one boundary condition is complied with when the respective sub-protocol is applied.

IPC Classes  ?

  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences
  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver

5.

METHOD FOR PRODUCING A COMPONENT FOR A MEDICAL IMAGING DEVICE

      
Application Number 18372091
Status Pending
Filing Date 2023-09-23
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor Wrege, Jan

Abstract

A method for producing a component for a medical imaging device is provided. A first substrate layer and a second substrate layer are stacked and connected to one another via a material bonding layer. The material bonding layer is hardened for this purpose. A hardening is provided in an at least two-stage hardening process that includes a first hardening act and a second hardening act. The first hardening act serves to pre-fix the first substrate layer and the second substrate layer to one another.

IPC Classes  ?

  • G02B 27/30 - Collimators
  • B32B 7/12 - Interconnection of layers using interposed adhesives or interposed materials with bonding properties
  • G21K 1/02 - Arrangements for handling particles or ionising radiation, e.g. focusing or moderating using diaphragms, collimators

6.

Local Coil Control Apparatus and Wireless Local Coil in Magnetic Resonance Imaging System

      
Application Number 18372262
Status Pending
Filing Date 2023-09-25
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Zhang, Qiu Yi
  • Wang, Jianmin
  • Vester, Markus
  • Pang, Qian Yun

Abstract

A local coil control apparatus and a wireless local coil in a magnetic resonance imaging system. The apparatus includes a control signal transmission unit, the control signal transmission unit including a wireless receiving unit, a control signal extraction unit, and a control signal distribution unit. The wireless receiving unit receives, by a receiving antenna, a signal from a radiofrequency power amplifier emitted by a body coil of the MRI system, and transmits the signal to the control signal extraction unit; the control signal extraction unit, if it detects that the signal is background noise, generates a control signal instructing a local coil unit to switch to a tuned state, and, if it detects that the signal is broadband noise, generates a control signal instructing the local coil unit to switch to a detuned state, and distributes the control signal to each local coil unit through the control signal distribution unit.

IPC Classes  ?

  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
  • G08C 17/02 - Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

7.

Gradient Coil Unit with Separately Drivable Conductor Pattern Pairs

      
Application Number 18373430
Status Pending
Filing Date 2023-09-27
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Krug, Andreas
  • Bauer, Simon
  • Stocker, Stefan
  • Dietz, Peter

Abstract

The disclosure relates to a gradient coil unit comprising a hollow cylindrical primary coil longitudinally surrounding a cylinder axis and designed to generate a magnetic field gradient in a first spatial direction, which primary coil comprises two primary conductor pattern pairs. Each primary conductor pattern pair of the two primary conductor pattern pairs is separately drivable, spans one half of the primary coil in each case, and comprises two spiral conductor patterns, which are formed by an electrical conductor implemented as a hollow conductor.

IPC Classes  ?

  • G01R 33/385 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils

8.

ESTIMATION OF SCATTERED RADIATION DOSE

      
Application Number 18473389
Status Pending
Filing Date 2023-09-25
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor Regensburger, Alois

Abstract

For estimating the scattered radiation dose, a scattered radiation model is provided, which indicates a spatial distribution of the scattered radiation to be expected in the vicinity of a radiation source during predefined use of the radiation source . A mobile electronic device is used to determine a position of the mobile electronic device relative to the radiation source. The mobile electronic device is used to determine at least one dose descriptor of the scattered radiation to be expected according to the use of the radiation source in dependence on the scattered radiation model and in dependence on the determined position.

IPC Classes  ?

9.

COMPUTER-IMPLEMENTED SOFT TISSUE EMULATION SYSTEM AND METHOD

      
Application Number 18474727
Status Pending
Filing Date 2023-09-26
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Meister, Felix
  • Lluch, Eric
  • Passerini, Tiziano
  • Audigier, Chloe
  • Mihalef, Viorel

Abstract

A soft tissue emulation system, comprising: an input interface, configured to obtain imaging data of the soft tissue; a computing unit, configured to implement an artificial neural network, which is adapted to generate, using the obtained imaging data as input, and a biophysical model of the soft tissue, a digital twin of the soft tissue at different times, wherein the biophysical model describes the response of the soft tissue to at least one of thermal stimuli or electromechanical stimuli over time, and wherein the generation of the digital twin at one time is independent of the generation of the digital twin at another time; and an output interface, configured to output a representation of the soft tissue over time based on the digital twin generated by the artificial neural network.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06N 3/045 - Combinations of networks
  • G06N 3/0464 - Convolutional networks [CNN, ConvNet]

10.

COMPUTER-IMPLEMENTED METHOD FOR PROVIDING AN ENCRYPTED DATASET PROVIDING A GLOBAL TRAINED FUNCTION, COMPUTER-IMPLEMENTED METHOD FOR RECOVERING PERSONAL INFORMATION, COMPUTER SYSTEM AND COMPUTER PROGRAM

      
Application Number 18474883
Status Pending
Filing Date 2023-09-26
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor Prasad, Srikrishna

Abstract

Respective local parameters parametrizing a base function are determined to provide at least one local trained function for each of multiple client systems by training the respective local trained function using machine learning with multiple training datasets on the respective client system, wherein at least some of the training datasets are specific to the respective client system. A respective local plaintext dataset including the local parameters of the respective local trained function is encrypted to generate a respective local encrypted dataset on the respective client system. The local encrypted datasets are transmitted to an aggregating system, and the global encrypted dataset is calculated from the local encrypted datasets using the calculation algorithm.

IPC Classes  ?

  • H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
  • G06N 3/0464 - Convolutional networks [CNN, ConvNet]
  • G06N 3/084 - Backpropagation, e.g. using gradient descent
  • H04L 9/08 - Key distribution

11.

COMPUTER-IMPLEMENTED METHOD FOR OPERATING AN X-RAY FACILITY, X-RAY FACILITY, COMPUTER PROGRAM, AND ELECTRONICALLY READABLE DATA CARRIER

      
Application Number 18476609
Status Pending
Filing Date 2023-09-28
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Birkhold, Annette
  • Roser, Philipp

Abstract

A method for operating an X-ray facility for recording a three-dimensional (3D) image data set of a target area of a patient is provided. A recording arrangement including an X-ray detector and an X-ray source may be rotated about an axis of rotation for recording two-dimensional projection images based on the image data set. A model instance of a parameterizable patient model that is patient-specific and 3D is determined. Target area information describing the target area is determined in the model instance from default information. At least two at least partially different partial recording areas of the target area are determined from the target area information. The partial recording areas cover the target area along the axis of rotation. One projection image set is recorded for each of the partial recording areas, and the image data set is reconstructed from the projection image sets.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/04 - Positioning of patients; Tiltable beds or the like
  • A61B 6/06 - Diaphragms
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 19/00 - Manipulating 3D models or images for computer graphics
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

12.

ADVANCED MEDICAL IMAGING IN DISTRIBUTED SETUP

      
Application Number 18527835
Status Pending
Filing Date 2023-12-04
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor Hader, Sandra

Abstract

A computer-implemented method is for performing at least one medical imaging procedure using an imaging modality. The medical imaging procedure is performed under remote supervision. An embodiment of the method includes acquiring with a computing unit data on the medical imaging procedure to be performed; acquiring with the computing unit data on at least one expert operator, located at a workplace remote from the imaging modality; matching data on the medical imaging procedure with data on the expert operator; assigning at least one expert operator to the medical imaging procedure based on the matching; and providing a communication channel between the imaging modality and the remote workplace.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/03 - Computerised tomographs
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 30/00 - ICT specially adapted for the handling or processing of medical images
  • G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

13.

MULTI-TASK LEARNING FRAMEWORK FOR FULLY AUTOMATED ASSESSMENT OF CORONARY ARTERIES IN ANGIOGRAPHY IMAGES

      
Application Number 17934213
Status Pending
Filing Date 2022-09-22
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Gulsun, Mehmet Akif
  • Stoian, Diana Ioana
  • Singh, Vivek
  • Sharma, Puneet
  • Berger, Martin

Abstract

Systems and methods for automatic assessment of a vessel are provided. A temporal sequence of medical images of a vessel of a patient is received. A plurality of sets of output embeddings is generated using a machine learning based model trained using multi-task learning. The plurality of sets of output embeddings is generated based on shared features extracted from the temporal sequence of medical images. A plurality of vessel assessment tasks is performed by modelling each of the plurality of sets of output embeddings in a respective probabilistic distribution. Results of the plurality of vessel assessment tasks are output.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

14.

POSITION MONITORING METHOD AND MEDICAL MOBILE X-RAY DEVICE

      
Application Number 18370041
Status Pending
Filing Date 2023-09-19
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Gemmel, Alexander
  • Oßa Kafentzis, Martin
  • Weiten, Markus
  • Soulami, Achraf
  • Setser, Randolph

Abstract

For checking the positional accuracy, a method for automatically monitoring a position and/or an angle of inclination of a component of a medical mobile X-ray device using at least one inertial measurement unit is provided. The mobile X-ray device has a device trolley and an adjustable C-arm. The at least one inertial measurement unit is arranged on the mobile X-ray device. The method includes: acquiring at least one measured value of the inertial measurement unit; evaluating the at least one measured value of the inertial measurement unit with regard to a position and/or an angle of inclination of the component of the mobile X-ray device; comparing the evaluated position and/or the at least one evaluated angle of inclination with at least one specified value and determining deviations from the at least one specified value; and outputting an indication or a display when the deviation overshoots a threshold value.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G01C 21/16 - Navigation; Navigational instruments not provided for in groups by using measurement of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation

15.

PROVIDING A RESULT DATASET

      
Application Number 18371020
Status Pending
Filing Date 2023-09-21
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Birkhold, Annette
  • Kowarschik, Markus

Abstract

The disclosure relates to a method for providing a result dataset, a method for providing a trained function, a provisioning unit, a medical imaging device, and a computer program product. The method for providing the result dataset includes capturing medical image data, wherein the medical image data maps a temporal change in an anatomical object in an examination object in a spatially and temporally resolved manner. The method further includes identifying at least one inhomogeneously deforming region of the anatomical object based on the image data and providing the result dataset based on the image data, wherein the result dataset has a dedicated map and/or at least one deformation parameter of the at least one inhomogeneously deforming region.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

16.

Method and System for Vascular Catheter Tip Detection in Medical Images

      
Application Number 18446516
Status Pending
Filing Date 2023-08-09
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Liao, Rui
  • Narasimha Murthy, Venkatesh
  • Zhang, Yue
  • Amadou, Abdoul Aziz

Abstract

A tip of a vascular catheter is detected in a sequence of vessel image frames obtained using x-rays. Within the vessel image frames, a proximal point corresponding to a vessel ostium is determined. The sequence of vessel image frames are cropped to an image area surrounding the proximal point to generate a cropped sequence of cropped vessel image frames. Within cropped vessel image frames not indicative of a contrast medium, the tip of the vascular catheter is detected, and the detected tip of the vascular catheter is tracked.

IPC Classes  ?

  • A61B 34/20 - Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/12 - Devices for detecting or locating foreign bodies
  • G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
  • G06T 7/277 - Analysis of motion involving stochastic approaches, e.g. using Kalman filters
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

17.

Scoring and Ranking Angiograms

      
Application Number 18454102
Status Pending
Filing Date 2023-08-23
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Cimen, Serkan
  • Neumann, Dominik
  • Passerini, Tiziano

Abstract

Techniques for processing one or more frames of an angiogram are disclosed. The processing may take place during or after an angiography exam. The one or more frames of the angiogram are acquired during the angiography exam. The one or more frames are processed to determine, based on at least one pre-defined criterion, whether the angiogram at least comprises one frame with a diagnostic value among the one or more frames. If the angiogram comprises at least one frame with the diagnostic value, based on the angiogram, a score quantifying the diagnostic value of the angiogram is determined using a trained machine-learning (ML) algorithm. Techniques for processing, e.g., ranking/sorting, multiple angiograms associated with an anatomical region of interest of a patient are also provided, by which a respective score for each of the multiple angiograms is determined using the techniques for processing one or more frames of an angiogram.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G06T 7/00 - Image analysis
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

18.

METHOD AND SYSTEM FOR MONITORING A PERSON IN AN ENVIRONMENT

      
Application Number 18472125
Status Pending
Filing Date 2023-09-21
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Ebert, Anton
  • Kraemer, Mathias

Abstract

One or more example embodiments of the present invention describes a method for monitoring a person in an environment, including integrating the person into the environment, wherein the person has a task to solve in the environment, measuring with a sensor system a number of physical conditions of the person while the person interacts with the environment, the sensor system providing a sensor-dataset including measured physical values about the person from which mental conditions of the person can be inferred, generating assessment-data from the sensor-dataset, the assessment-data reflecting at least one of an ability of the person to accomplish the task or the mental load of the person while solving the task, repeating the measuring and the generating a plurality of times and outputting the generated assessment-data or data based on the generated assessment-data.

IPC Classes  ?

  • G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
  • G02B 27/01 - Head-up displays

19.

CHASSIS FOR THE GANTRY OF A COMPUTED TOMOGRAPHY UNIT, GANTRY, AND COMPUTED TOMOGRAPHY UNIT

      
Application Number 18472533
Status Pending
Filing Date 2023-09-22
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor Mueller, Hans-Juergen

Abstract

One or more example embodiments of the present invention relates to a chassis for a gantry of a computed tomography unit, which has receiving areas to which rotating components of the computed tomography unit can be attached. The chassis is at least in part produced using additive manufacturing. One or more example embodiments of the present invention is also directed to a gantry and a computed tomography unit with such a chassis.

IPC Classes  ?

20.

MAMMOGRAPHY SYSTEM FOR RECORDING AN X-RAY RECORDING DATASET, COMPRISING AN INTERRUPT UNIT, AND A METHOD THEREFOR

      
Application Number 18475629
Status Pending
Filing Date 2023-09-27
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Nanke, Ralf
  • Kappler, Steffen
  • Wicklein, Julia
  • Hertel, Madeleine

Abstract

One or more example embodiments of the present invention relates to a mammography system for recording an X-ray recording dataset of a region of interest of a breast of an examinee, comprising a compression unit for fixing the breast for the recording; and an interrupt unit triggerable by the examinee and connected to the compression unit and an X-ray source, the interrupt unit being configured to release the fixation and to stop the X-ray radiation.

IPC Classes  ?

  • A61B 6/04 - Positioning of patients; Tiltable beds or the like
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/10 - Application or adaptation of safety means

21.

CT RECONSTRUCTION FOR MACHINE CONSUMPTION

      
Application Number 17935581
Status Pending
Filing Date 2022-09-27
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Holbrook, Matthew
  • Gulsun, Mehmet Akif
  • Nadar, Mariappan S.
  • Sharma, Puneet
  • Mailhe, Boris

Abstract

System and methods for determining and implementing optimized reconstruction parameters for computer-aided diagnosis applications. A simulator generates image data using different combinations of reconstruction parameters. The image data is used to evaluate or train machine learned networks that are configured for computer-aided diagnosis applications to determine which reconstruction parameters are optimal for application or training.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 7/11 - Region-based segmentation
  • G06T 7/149 - Segmentation; Edge detection involving deformable models, e.g. active contour models

22.

METHOD FOR DETECTION AND CHARACTERIZATION OF LESIONS

      
Application Number 17954922
Status Pending
Filing Date 2022-09-28
First Publication Date 2024-03-28
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Datar, Manasi
  • Adiyoso, Arnaud Arindra

Abstract

A method for detection and characterization of lesions includes acquiring a plurality of phase images of a multi-phase imaging exam, extracting a local context for each phase image of the plurality of phase images, encoding the local contexts to create phase specific feature maps, combining the phase-specific feature maps to create unified feature maps, and at least one of characterizing or detecting a lesion based on the unified feature maps

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

23.

Distributed Medical Image Processing

      
Application Number 18234910
Status Pending
Filing Date 2023-08-17
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Stranjak, Armin
  • Campagna, Swen
  • Huang, Yan Tu

Abstract

A method of performing a medical imaging process, including: dividing a computing task of a medical imaging system unit into a set of sub-tasks, wherein the computing task is related to a generation of medical image data based on measurement data; selecting at least one sub-task of the set of sub-tasks for external execution; exchanging a sequence of signals including task delegation signals with a plurality of remote computing units, whereby the sequence of signals comprises at least one request signal sent by the medical imaging system unit; outsourcing the at least one selected sub-task to the selected remote computing unit for remotely generating a computing result of the at least one selected sub-task; receiving the generated computing result from the selected remote computing unit; and completing the computing task with the computing result received from the selected remote computing unit.

IPC Classes  ?

  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • H04N 23/80 - Camera processing pipelines; Components thereof
  • G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

24.

COMPUTER-IMPLEMENTED METHOD FOR RENDERING MEDICAL VOLUME DATA

      
Application Number 18450093
Status Pending
Filing Date 2023-08-15
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor Engel, Klaus

Abstract

A computer-implemented method for rendering medical volume data including first volume data is described. The method comprises: performing a first volume rendering process on the first volume data to generate a first volume rendering of the first volume data. The first volume rendering process includes determining first depths of respective locations of the first volume rendering and storing the depths in association with the respective locations. The method also comprises performing a further process, including a second volume rendering process, on the medical volume data, to generate a second volume rendering, using the determined first depths and respective locations.

IPC Classes  ?

  • G06T 15/08 - Volume rendering
  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts

25.

SPATIOTEMPORAL FUSION OF TIME-RESOLVED ANGIOGRAPHIC DATA SETS

      
Application Number 18230790
Status Pending
Filing Date 2023-08-07
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Birkhold, Annette
  • Kowarschik, Markus

Abstract

Angiographic recordings are to be made more informative. To this end, a method for spatiotemporal fusion of time-resolved angiographic data sets is proposed. Respective 4D reconstructions are obtained from angiographic 3D data sets acquired from contrast agents administered at different sites. In both 4D reconstructions, a common vascular region is identified. For each contrast agent bolus, the corresponding time point or time course in the common vascular region is determined. Finally, the two 4D reconstructions are synchronized and fused.

IPC Classes  ?

  • G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G06T 7/00 - Image analysis
  • G06T 15/00 - 3D [Three Dimensional] image rendering

26.

X-RAY FACILITY AND METHOD FOR OPERATING AN X-RAY FACILITY

      
Application Number 18234578
Status Pending
Filing Date 2023-08-16
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Kreisler, Björn
  • Göderer, Edgar
  • Wirth, Stefan

Abstract

An X-ray imager having an X-ray source, a semiconductor detector, and a processor. On a rear side of the semiconductor detector facing away from the front side, in each of a plurality of imaging regions of the semiconductor detector, at least one imaging electrode is arranged and a plurality of detectors each contact at least one of the imaging electrodes in order to acquire first measurement values relating to X-ray signals of the imaging electrodes. The processor is configured to establish an image dataset dependent upon the first measurement values. At least one additional electrode is arranged on the rear side of the semiconductor detector outside the imaging regions. At least one current sensor contacts the additional electrode or at least one of the additional electrodes in each case to acquire the current flow by way of the second measurement values relating to the at least one additional electrode.

IPC Classes  ?

  • G01T 1/24 - Measuring radiation intensity with semiconductor detectors
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

27.

Method for Carrying Out a Magnetic Resonance Imaging Examination of an Anatomic Region of a Subject

      
Application Number 18234582
Status Pending
Filing Date 2023-08-16
First Publication Date 2024-02-22
Owner
  • Siemens Healthcare GmbH (Germany)
  • New York University (USA)
Inventor
  • Nittka, Mathias
  • Brinkmann, Inge Manuela
  • Ehlers, Torsten
  • Fritz, Jan

Abstract

A magnetic resonance imaging examination of an anatomic region of a subject is performed with a magnetic resonance imaging system. A fast metal detection sequence configured to detect the presence of a metal object within or at the subject is performed. A control unit determines whether a metal object is detected, wherein the control unit initiates a standard examination workflow if no metal object is detected during the fast metal detection sequence, and wherein the control unit initiates a modified examination workflow that is different from the standard examination workflow if a metal object is detected during the fast metal detection sequence.

IPC Classes  ?

  • G01R 33/28 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance - Details of apparatus provided for in groups
  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences

28.

POSITIONING OF SENSOR UNITS USING A POSITIONING SUBSTRATE

      
Application Number 18235657
Status Pending
Filing Date 2023-08-18
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Wrege, Jan
  • Labayen De Inza, Miguel
  • Ellwood, Robert John

Abstract

A method for positioning sensor units in a detector module for a CT device includes arranging a connecting layer on a positioning substrate. Sensor units and readout units, forming sensor readout arrangements, are positioned relative to the positioning substrate. The sensor units are temporarily connected to the positioning substrate at a fixed position by the connecting layer. Electronics boards are positioned, and conductive connections are produced between the electronics boards and contacts of the readout units, such that sensor boards are obtained. The sensor units are then positioned by the positioning substrate relative to a module carrier and are attached to the module carrier, such that a detector module is obtained.

IPC Classes  ?

  • G01T 1/24 - Measuring radiation intensity with semiconductor detectors
  • G01T 7/00 - MEASUREMENT OF NUCLEAR OR X-RADIATION - Details of radiation-measuring instruments

29.

METHOD AND FACILITY FOR PROVIDING A SET OF CONTROL COMMANDS FOR CONTROLLING A MEDICAL IMAGING SYSTEM

      
Application Number 18450585
Status Pending
Filing Date 2023-08-16
First Publication Date 2024-02-22
Owner Siemens Healthcare GmbH (Germany)
Inventor Maier-Matic, Corinna

Abstract

Computer-implemented methods and facilities for providing a set of control commands for remote control of a medical imaging system arranged in a medical facility are based on providing a database with at least one set of control commands stored in the database for controlling medical imaging systems when performing medical imaging procedures. Furthermore, a request is acquired by a remote access facility from the medical facility for the performance of a medical imaging procedure with the medical imaging system, wherein said request includes target procedure information describing the imaging procedure to be performed. A set of control commands is provided to the medical facility based on a querying of the database using the target procedure information by the remote access facility.

IPC Classes  ?

  • G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
  • G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

30.

Superconducting magnet for MRI system, and processing tool and processing method therefor

      
Application Number 17849045
Grant Number 11841405
Status In Force
Filing Date 2022-06-24
First Publication Date 2022-12-29
Grant Date 2023-12-12
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • He, Jianping
  • He, Bin
  • Nie, Yu Xin
  • Gu, Kui Xiang

Abstract

A processing tool for a superconducting magnet of an MRI system is disclosed. The processing tool comprising a first winding part and a second winding part. The first winding part is used as a winding framework for winding a main coil half-body. The second winding part is used as a winding framework for winding a shield coil. The processing tool has an infusion cavity. The infusion cavity comprises a main coil accommodating zone, a shield coil accommodating zone, and a linking zone. The main coil accommodating zone is used for accommodating the main coil half-body wound on the first winding part. The shield coil accommodating zone is used for accommodating the shield coil wound on the second winding part. The main coil accommodating zone is connected to the shield coil accommodating zone via the linking zone. The processing tool helps to reduce the difficulty of superconducting magnet processing.

IPC Classes  ?

  • G01R 33/34 - Constructional details, e.g. resonators
  • G01R 33/48 - NMR imaging systems
  • G01R 33/38 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field

31.

Methods and systems for Maxwell compensation for spin-echo train imaging

      
Application Number 17732155
Grant Number 11860258
Status In Force
Filing Date 2022-04-28
First Publication Date 2022-11-10
Grant Date 2024-01-02
Owner
  • UNIVERSITY OF VIRGINIA PATENT FOUNDATION (USA)
  • SIEMENS HEALTHCARE GMBH (Germany)
  • THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES (USA)
Inventor
  • Mugler, Iii, John P.
  • Meyer, Craig H.
  • Campbell, Adrienne
  • Ramasawmy, Rajiv
  • Pfeuffer, Josef
  • Wang, Zhixing
  • Feng, Xue

Abstract

Methods, computing devices, and MRI systems that reduce artifacts produced by Maxwell gradient terms in TSE imaging using non-rectilinear trajectories are disclosed. With this technology, a RF excitation pulse is generated to produce transverse magnetization that generates a NMR signal and a series of RF refocusing pulses to produce a corresponding series of NMR spin-echo signals. An original encoding gradient waveform comprising a non-rectilinear trajectory is modified by adjusting a portion of the original encoding gradient waveform or introducing a zero zeroth-moment waveform segment at end(s) of the original encoding gradient waveform. During an interval adjacent to each of the series of RF refocusing pulses a first gradient pulse is generated. At least one of the first gradient pulses is generated according to the modified gradient waveform. An image is constructed from generated digitized samples of the NMR spin-echo signals obtained.

IPC Classes  ?

  • G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences

32.

SYSTEM, DEVICE AND METHOD OF MANAGING AN ASSET MODEL FOR ASSETS IN AN INDUSTRIAL INTERNET OF THINGS (IIOT) ENVIRONMENT

      
Application Number 17609367
Status Pending
Filing Date 2020-04-28
First Publication Date 2022-09-29
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Singh, Ankit
  • Shenoy, Gireesha

Abstract

The present invention discloses a system, device and method of managing an asset model for assets in an Industrial Internet of Things (IIoT) environment. The method includes receiving heterogenous data streams associated with the IIoT environment (180, 280); obtaining an asset datastructure instance (402, 404, 422), wherein the asset datastructure instance (402, 404, 422) indicates a state of the asset (182-188, 282) in the IIoT environment (180, 280); and generating the asset model (400) of the asset (182-188, 282) from a plurality of asset datastructure instances (402, 404, 422).

IPC Classes  ?

  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models

33.

SEMICONDUCTOR COMPONENT ON A HEAT PIPE

      
Application Number 17611132
Status Pending
Filing Date 2020-04-16
First Publication Date 2022-07-14
Owner Siemens Healthcare GmbH (Germany)
Inventor Waltrich, Uwe

Abstract

The invention relates to a method for joining a power semiconductor component (1.1) to a heat pipe (2), wherein, during joining, the external pressure (p2) acting on the heat pipe (2) is changed proportionally to the internal pressure (p1) of the heat pipe (2), which internal pressure changes under heat during joining. The invention also relates to a device for carrying out the method, a power module, a converter and a vehicle.

IPC Classes  ?

  • H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating
  • H01L 23/427 - Cooling by change of state, e.g. use of heat pipes
  • B64D 33/08 - Arrangement in aircraft of power plant parts or auxiliaries not otherwise provided for of power plant cooling systems

34.

Camera-Assisted Image-Guided Medical Intervention

      
Application Number 17248028
Status Pending
Filing Date 2021-01-06
First Publication Date 2022-07-07
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • O'Donnell, Thomas
  • Setser, Randolph M.

Abstract

For camera-assisted, image-guided medical intervention, a camera is used to allow interaction for insertion point designation on the patient. The x-ray imager is used for guiding the intervention, but less radiation may be needed since the camera is used to assist in trajectory selection before the intervention and/or in guidance during the intervention.

IPC Classes  ?

  • A61B 34/20 - Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
  • A61B 34/00 - Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
  • A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges

35.

PROVIDING DOMAIN MODELS FOR INDUSTRIAL SYSTEMS

      
Application Number 17386901
Status Pending
Filing Date 2021-07-28
First Publication Date 2022-02-03
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Lamparter, Steffen
  • Milicic Brandt, Maja
  • Rümmele, Nataliia
  • Shyam Sunder, Swathi

Abstract

Hidden Features are locally extracted from Industrial Data of the industrial system by a Local Application executed on a local computer of a customer. The Hidden Features are uploaded to an external computer of a service provider. A Domain Model for the industrial system is externally determined from an Industrial Model Library (IML) on the external computer based on the uploaded Hidden Features by an External Algorithm including at least one Machine Learning Model (MLM) executed on the external computer. The determined Domain Model for the industrial system is provided to the customer. The at least one MLM has been trained on ranking most appropriate Domain Models for industrial systems based on Hidden Features of the respective industrial systems. The most appropriate Domain Models represent all relevant technical aspects of the respective industrial systems.

IPC Classes  ?

  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

36.

BLOCKCHAIN-BASED DISTRIBUTION OF MEDICAL DATA RECORDS

      
Application Number 17263593
Status Pending
Filing Date 2019-06-07
First Publication Date 2021-12-02
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Krueger, Benedikt
  • Taylor, Robert James

Abstract

A method is for providing a uniform resource locator. In an embodiment, the method includes receiving a medical data record via an interface, the medical data record being related to a patient; determining the uniform resource locater related to the medical data record via a computation unit, the uniform resource locator including an authorization token based on the medical data record, the medical data record being accessible by following the uniform resource locator; and providing the uniform resource locator with the interface to the patient. By providing a uniform resource locator of an embodiment including an authorization token, access to the medical data record can be granted fast and efficient, e.g. by a patient forwarding the uniform resource locator to another entity (e.g. a physician), while at the same time non-authorized entities cannot access the medical data record due to their lack of the suitable authorization token.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
  • G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists

37.

Magnetic resonance scanner and magnetic resonance imaging system

      
Application Number 17306149
Grant Number 11675034
Status In Force
Filing Date 2021-05-03
First Publication Date 2021-11-04
Grant Date 2023-06-13
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Mallett, Michael
  • Popescu, Stefan
  • Thomas, Adrian Mark
  • Biber, Stephan
  • Gebhardt, Matthias
  • Speckner, Thorsten
  • Beck, Thomas
  • Greiser, Andreas

Abstract

A magnetic resonance imaging system comprises a field generation unit and a supporting structure for providing structural support for the field generation unit, wherein the field generation unit comprises at least one magnet for generating a B0 magnetic field and an opening configured to provide access to an imaging volume positioned in the B0 magnetic field along at least one direction and wherein the at least one direction is angled with respect to a main direction of magnetic field lines of the B0 magnetic field in the imaging volume.

IPC Classes  ?

  • G01R 33/341 - Constructional details, e.g. resonators comprising surface coils
  • H01Q 21/24 - Combinations of antenna units polarised in different directions for transmitting or receiving circularly and elliptically polarised waves or waves linearly polarised in any direction
  • G01R 33/383 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using permanent magnets
  • G01R 33/3815 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using electromagnets with superconducting coils, e.g. power supply therefor
  • H01Q 7/00 - Loop antennas with a substantially uniform current distribution around the loop and having a directional radiation pattern in a plane perpendicular to the plane of the loop
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging

38.

METHOD FOR PROVIDING AN EVALUATION DATASET FROM A FIRST MEDICAL THREE-DIMENSIONAL COMPUTED TOMOGRAPHY DATASET

      
Application Number 16916761
Status Pending
Filing Date 2020-06-30
First Publication Date 2021-01-07
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Manhart, Michael
  • Kowarschik, Markus
  • Kaethner, Christian

Abstract

A system and method for providing an evaluation dataset from a first medical three-dimensional computed tomography dataset. The method includes reconstructing the first three-dimensional computed tomography dataset from a plurality of two-dimensional X-ray projection images recorded with different acquisition geometries from an examination object by a medical X-ray device and providing an artifact-reduced image dataset. Providing includes applying a method for reducing artifacts to the first computed tomography dataset. The method further includes identifying for example hemorrhagic and/or ischemic stroke indications by applying an method for identifying stroke indications to the artifact-reduced image dataset, creating an evaluation dataset by applying an method for evaluating a manifestation of the identified stroke indications to the artifact-reduced image dataset, and providing the evaluation dataset.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 7/11 - Region-based segmentation
  • G06T 5/00 - Image enhancement or restoration
  • G06T 3/60 - Rotation of a whole image or part thereof
  • G06T 7/00 - Image analysis
  • A61B 6/03 - Computerised tomographs
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

39.

Method for measuring corpus callosum volume of fetus by means of magnetic resonance imaging, and magnetic resonance imaging apparatus

      
Application Number 16858141
Grant Number 11534102
Status In Force
Filing Date 2020-04-24
First Publication Date 2020-10-29
Grant Date 2022-12-27
Owner
  • Siemens Healthcare GmbH (Germany)
  • Shandong Medical Imaging Research Institute (China)
Inventor
  • Wang, Guangbin
  • Qian, Tian Yi
  • Chen, Xin
  • Sun, Cong

Abstract

Techniques are disclosed for measuring the corpus callosum volume of a fetus using magnetic resonance imaging. A scanogram of a fetus is acquired, and a detection area is determined using the corpus callosum position of the fetus in the scanogram. Magnetic resonance scanning is performed on the detection area to obtain a diffusion weighted image, with a gradient direction that is orthogonal or normal to an extending direction of fiber bundles of the corpus callosum. A fetal head image is cropped in the diffusion weighted image, and a predetermined threshold is applied to obtain an image including pixels having a brightness value that is greater than the threshold. Image processing is performed on the binarized image, with the largest region therein being identified as the corpus callosum, and the sum of voxel dimensions associated with the signal of the largest region being calculated as the corpus callosum volume.

IPC Classes  ?

  • G06V 10/00 - Arrangements for image or video recognition or understanding
  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
  • G06N 20/00 - Machine learning
  • G06V 10/40 - Extraction of image or video features
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features

40.

Method for determining and eliminating time delay between radio frequency pulse and layer selection gradient in a magnetic resonance device

      
Application Number 16856359
Grant Number 11280864
Status In Force
Filing Date 2020-04-23
First Publication Date 2020-10-29
Grant Date 2022-03-22
Owner Siemens Healthcare GmbH (Germany)
Inventor Weng, De He

Abstract

The present application describes techniques for determining and eliminating a time delay between a radio frequency pulse and a layer selection gradient in a magnetic resonance device. The techniques for determining and eliminating the time delay direct include measuring the time delay between the layer selection gradient and the radio frequency pulse by using phase information. This technique is more sensitive and accurate than existing methods that use signal or artifact strength.

IPC Classes  ?

  • G01R 33/46 - NMR spectroscopy
  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences
  • G01R 33/32 - Excitation or detection systems, e.g. using radiofrequency signals
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
  • G01R 33/385 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using gradient magnetic field coils

41.

1 method

      
Application Number 16388931
Grant Number 10830853
Status In Force
Filing Date 2019-04-19
First Publication Date 2020-10-22
Grant Date 2020-11-10
Owner
  • Siemens Healthcare GmbH (Germany)
  • University of Utah Research Foundation (USA)
Inventor
  • Svedin, Bryant
  • Parker, Dennis L.
  • Payne, Allison

Abstract

1 value.

IPC Classes  ?

  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
  • G01R 33/48 - NMR imaging systems

42.

Radio-frequency system for a magnetic resonance apparatus

      
Application Number 16394345
Grant Number 10838025
Status In Force
Filing Date 2019-04-25
First Publication Date 2019-10-31
Grant Date 2020-11-17
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Chen, Yan Li
  • Du, Shu
  • Vester, Markus
  • Wang, Jian Min

Abstract

A radio-frequency system for a magnetic resonance apparatus has a local coil, a body coil, and an impedance adjusting shield. The body coil is wirelessly power-coupled with the local coil such that the body coil serves as a transmitting coil for radio-frequency signals and the local coil serves as a receiving coil for magnetic resonance signals. The local coil is disposed in an internal cavity of the impedance adjusting shield. An impedance of the local coil is adjusted by the impedance adjusting shield so as to match the impedance of the local coil and the body coil. The impedance adjusting shield has a frequency modulation element that adjusts the resonance frequency of the local coil. The body coil couples power to the local coil, and the impedance adjusting shield effectively reduces energy transmission efficiency loss caused by reflection, thereby improving energy transmission efficiency.

IPC Classes  ?

  • G01R 33/34 - Constructional details, e.g. resonators
  • G01R 33/3415 - Constructional details, e.g. resonators comprising surface coils comprising arrays of sub-coils
  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
  • G01R 33/422 - Screening of the radiofrequency field

43.

METHOD FOR AUTOMATICALLY GENERATING A VOLUME MODEL OF CORRECTION DATA FOR AN X-RAY BASED MEDICAL IMAGING DEVICE

      
Application Number 16225933
Status Pending
Filing Date 2018-12-19
First Publication Date 2019-06-27
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Ritter, André
  • Hofmann, Christian
  • Dyban, Pavlo
  • Georgi, Jens-Christoph
  • Schubert, Kai
  • Oetzel, Dieter
  • Tonndorf-Martini, Eric

Abstract

Method and systems are provided for automatically generating a volume model of correction data for an X-ray based medical imaging device. A plurality of X-ray images is recorded of a body region of a patient to be examined from different positions in each case. The plurality of X-ray images is used to generate a first volume model of the body region. Image artifacts are corrected in the first volume model using the plurality of X-ray images and thus a corrected volume model is generated. The corrected volume model is used to determine a contour of an artifact volume affected by image artifacts in the first volume model and the contour of the artifact volume is defined as a volume model of correction data. The volume model of correction data is stored on a data medium and/or output via an interface.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/12 - Devices for detecting or locating foreign bodies
  • G06T 7/13 - Edge detection
  • G06T 7/11 - Region-based segmentation
  • G06T 15/08 - Volume rendering

44.

Method of performing magnetic resonance imaging and a magnetic resonance apparatus

      
Application Number 16108573
Grant Number 11454692
Status In Force
Filing Date 2018-08-22
First Publication Date 2019-02-28
Grant Date 2022-09-27
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Botnar, Rene
  • Ginami, Giulia
  • Neji, Radhouene
  • Prieto, Claudia

Abstract

In a method of performing magnetic resonance (MR) imaging, an MR apparatus, and a computer-readable medium during a first cardiac cycle of a subject, a first imaging sequence is generated for application to a subject. The first imaging sequence has a preparatory pulse and an inversion recovery pulse following the preparatory pulse. First signals emitted from the subject in response to the first imaging sequence are detected, and first image data are generated based on the first signals. During a second cardiac cycle following the first cardiac cycle, a second imaging sequence is generated for application to the subject. The second imaging sequence has a preparatory pulse. Second signals emitted from the subject in response to the second imaging sequence are detected, and second image data are generated based on the second signals.

IPC Classes  ?

  • G01R 33/567 - Image enhancement or correction, e.g. subtraction or averaging techniques gated by physiological signals
  • G01R 33/48 - NMR imaging systems
  • G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
  • G01R 33/50 - NMR imaging systems based on the determination of relaxation times
  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences

45.

Skull pin artifact rotation for the use in image-guided neurosurgery procedures

      
Application Number 15907517
Grant Number 10736595
Status In Force
Filing Date 2018-02-28
First Publication Date 2018-09-06
Grant Date 2020-08-11
Owner Siemens Healthcare GmbH (Germany)
Inventor Dinitto, Julie

Abstract

An image control system has a table, a head frame, an imaging system, a rotation system, and a control system. The head frame includes at least one pin which immobilizes a select patient anatomy with respect to the table while the imaging system collects image data through a CT scan process. The CT scan process produces an image of the patient anatomy, with the image including an artifact associated with the at least one pin. The artifact masks an area of interest in the image. The control system determines an angle of rotation which will move the artifact out of the area of interest and rotates at least one of the table, the head frame, and the imaging system by the angle of rotation. A subsequent image produced by the CT scan process includes an image of the patient anatomy with the artifact moved out of the area of interest.

IPC Classes  ?

  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/03 - Computerised tomographs
  • A61B 6/04 - Positioning of patients; Tiltable beds or the like
  • A61B 6/12 - Devices for detecting or locating foreign bodies

46.

Contrast flow imaging system

      
Application Number 15425677
Grant Number 10332256
Status In Force
Filing Date 2017-02-06
First Publication Date 2018-08-09
Grant Date 2019-06-25
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Baumgart, John
  • Trini, Martin

Abstract

A system and method includes reception of a plurality of fill frames of a patient volume, each of the plurality of fill frames depicting a contrast medium within the patient volume at a respective time, identification, for each pixel location of the fill frames, of a fill frame whose pixel at the pixel location is associated with a pixel value which represents a greater level of contrast medium than the pixel values of pixels at the pixel location within the others of the plurality of fill frames, generation of a peak contrast fill frame corresponding to each fill frame, the peak contrast fill frame corresponding to a given fill frame including, at pixel locations for which the given fill frame was identified, pixels associated with pixel values of the given fill frame, and storage of the plurality of peak contrast fill frames.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
  • G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

47.

Detection of X-ray radiation

      
Application Number 15819342
Grant Number 10104752
Status In Force
Filing Date 2017-11-21
First Publication Date 2018-05-24
Grant Date 2018-10-16
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Goederer, Edgar
  • Kappler, Steffen

Abstract

An X-ray detector is disclosed, including a detection unit to generate a detection signal for incident X-ray radiation; a signal analysis module to determine a set of count rates for incident X-ray radiation based upon the detection signal and signal analysis parameters for X-ray radiation; and a switchover control unit for switching between first signal analysis parameters and second signal analysis parameters. When an amount of X-ray radiation is incident on the detection module, a first set of count rates is generated for a first time interval based upon first signal analysis parameters and a second set of count rates is generated for a second time interval based upon second signal analysis parameters, different from the first signal analysis parameters. An X-ray imaging system including the detector; a method for determining count rates for X-ray radiation; and a method for calibrating signal analysis parameters are also disclosed.

IPC Classes  ?

  • A61B 6/03 - Computerised tomographs
  • H05G 1/58 - Switching arrangements for changing-over from one mode of operation to another, e.g. from radioscopy to radiography, from radioscopy to irradiation
  • G01T 1/36 - Measuring spectral distribution of X-rays or of nuclear radiation
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • G01T 1/17 - Circuit arrangements not adapted to a particular type of detector
  • G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]

48.

Automatic medical image retrieval

      
Application Number 15705765
Grant Number 10304198
Status In Force
Filing Date 2017-09-15
First Publication Date 2018-03-29
Grant Date 2019-05-28
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Yan, Zhennan
  • Zhan, Yiqiang
  • Liao, Shu
  • Shinagawa, Yoshihisa
  • Zhou, Xiang Sean
  • Wolf, Matthias

Abstract

A framework for automatic retrieval of medical images. In accordance with one aspect, the framework detects patches in a query image volume that contain at least a portion of an anatomical region of interest by using a first trained classifier. The framework determines disease probabilities by applying a second trained classifier to the detected patches, and selects, from the patches, a sub-set of informative patches with disease probabilities above a pre-determined threshold value. For a given patch from the sub-set of informative patches, the framework retrieves, from a database, patches that are most similar to the given image. Image volumes associated with the retrieved patches are then retrieved from the database. A report based on the retrieved image volumes may then be generated and presented.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06N 5/02 - Knowledge representation; Symbolic representation
  • G06K 9/78 - Combination of image acquisition and recognition functions
  • G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
  • G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
  • G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
  • G06K 9/20 - Image acquisition
  • G06N 20/00 - Machine learning

49.

Charge balance modeling system for MRI sequences

      
Application Number 15157446
Grant Number 10145919
Status In Force
Filing Date 2016-05-18
First Publication Date 2017-11-23
Grant Date 2018-12-04
Owner Siemens Healthcare GmbH (Germany)
Inventor Rehwald, Wolfgang G.

Abstract

An imaging system comprises determination of a charge block for each building block of an MRI pulse sequence and for each readout event of the MRI pulse sequence, determination, for each charge block, of a charge per request associated with the charge block, determination, for each charge block, of an associated charge reduction based on a charge per request associated with the charge block and on a charge available to the charge block after execution of a previous charge block of the MRI pulse sequence, determination, for each charge block associated with a non-zero charge reduction, of a flip angle of a corresponding building block of the MRI pulse sequence based on a charge per request and a charge reduction associated with the charge block, and control of a radio frequency system to deliver the MRI pulse sequence based on the determined flip angles of each building block of the MRI pulse sequence corresponding to a charge block associated with a non-zero charge reduction.

IPC Classes  ?

  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver

50.

Stimulated echo sequence scanning magnetic resonance method and apparatus for heart diffusion imaging

      
Application Number 15465976
Grant Number 10667760
Status In Force
Filing Date 2017-03-22
First Publication Date 2017-09-28
Grant Date 2020-06-02
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • An, Jing
  • Dong, Fang
  • Sun, Zhi Guo
  • Wang, Yu Yu
  • Zhang, Qiong

Abstract

In a method and magnetic resonance (MR) apparatus for heart diffusion imaging, when an ECG trigger signal by a computer that operates an MR scanner, the MR scanner is operated to acquire a navigator echo before a stimulated echo sequence, in order to detect diaphragm position information. When the first diaphragm position information is not located in an acquisition window, the stimulated echo sequence is not executed, and the computer waits to receive the next ECG trigger signal. The detection time of the navigator echo after the stimulated echo sequence as well as the acquisition time of the stimulated echo sequence, are thus eliminated when the first diaphragm position information does not meet requirements, so can significantly reduce scanning time, and increase the image SNR.

IPC Classes  ?

  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • A61B 5/0402 - Electrocardiography, i.e. ECG
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
  • G01R 33/567 - Image enhancement or correction, e.g. subtraction or averaging techniques gated by physiological signals

51.

Method and apparatus for enriching pathogen DNA

      
Application Number 15468836
Grant Number 10494628
Status In Force
Filing Date 2017-03-24
First Publication Date 2017-09-28
Grant Date 2019-12-03
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Huang, Yiwei
  • Khandige Sharma, Divya
  • Ms, Ragavendar
  • Mitra, Nivedita
  • Vutukuru, Ramya

Abstract

A method and apparatus for enrichment and detection of low abundance pathogens are provided. The method includes adding one or more proteins containing pathogen binding domains to the sample. The sample is incubated to form a complex thereby. The complex is separated from the sample, and an apparatus is provided for enriching pathogen DNA that achieves pathogen detection levels as low as 1 cfu/ml. The method further includes adding a lysis buffer to the separated complex and incubating to form a mixture. A buffer containing guanidine thiocyanate is added to the mixture. The mixture is connected with a matrix to form a bound entity, and the bound entity is separated from the mixture.

IPC Classes  ?

  • C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
  • B01L 3/00 - Containers or dishes for laboratory use, e.g. laboratory glassware; Droppers
  • C12Q 1/68 - Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
  • G01N 1/40 - Concentrating samples
  • C12Q 1/6888 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms

52.

Image-based pedicle screw positioning

      
Application Number 15281182
Grant Number 10390886
Status In Force
Filing Date 2016-09-30
First Publication Date 2017-04-27
Grant Date 2019-08-27
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Li, Mingzhong
  • Liao, Shu
  • Reda, Fitsum Aklilu
  • Zhan, Yiqiang
  • Zhou, Xiang Sean
  • Kleinszig, Gerhard

Abstract

A framework for pedicle screw positioning is described herein. In accordance with one aspect, the framework segments at least one vertebra of interest in image data. The framework then automatically determines a pedicle region within the segmented vertebra of interest, and a safe region within the segmented vertebra of interest. An optimal insertion path passing through the pedicle region may then be generated within the safe region.

IPC Classes  ?

  • A61B 3/10 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions
  • A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

53.

Transmission of PET-signals by means of time division multiplexing

      
Application Number 15267313
Grant Number 09778383
Status In Force
Filing Date 2016-09-16
First Publication Date 2017-03-16
Grant Date 2017-10-03
Owner
  • Siemens Medical Solutions USA, Inc. (USA)
  • Siemens Healthcare GmbH (Germany)
Inventor
  • Schmand, Matthias J.
  • Oppelt, Ralph
  • Huber, Klaus
  • Zhang, Nan

Abstract

A nuclear imaging system includes a detector configured to detect at least one photon event. A timing signal path is electrically coupled to the detector. The timing signal path is configured to generate a timing signal indicative of a timing of the at least one photon event. An energy signal path is also electrically coupled to the detector. The energy signal path is configured to generate an energy signal indicative of an energy of the at least one photon event. A time-domain multiplexer is configured combine the timing signal and the energy signal into a compound signal.

IPC Classes  ?

  • G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beam; Measurement of spatial distribution of radiation
  • H04L 5/22 - Arrangements affording multiple use of the transmission path using time-division multiplexing
  • G01T 1/17 - Circuit arrangements not adapted to a particular type of detector

54.

Method for determining measured data from the stomach of a patient

      
Application Number 15240340
Grant Number 10231606
Status In Force
Filing Date 2016-08-18
First Publication Date 2016-12-08
Grant Date 2019-03-19
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Glaesel, Norbert
  • Kuth, Rainer
  • Roas, Bernhard

Abstract

In a method to obtain measurement data from the stomach of a patient using an endoscope, a degassed aqueous drink solution is administered to the stomach of the patient and the measurement data are acquired with the degassed aqueous drink solution present in the stomach.

IPC Classes  ?

  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
  • A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
  • A61K 9/00 - Medicinal preparations characterised by special physical form
  • A61B 1/273 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes

55.

Detection of anatomy orientation using learning-based regression

      
Application Number 15046900
Grant Number 09704300
Status In Force
Filing Date 2016-02-18
First Publication Date 2016-09-08
Grant Date 2017-07-11
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Reda, Fitsum Aklilu
  • Zhan, Yiqiang
  • Zhou, Xiang Sean

Abstract

A framework for anatomy orientation detection is described herein. In accordance with one aspect, a pre-trained regressor is applied to appearance features of the image volume to predict a colatitude of the structure of interest. An optimal longitude corresponding to the predicted colatitude is then determined. In response to the colatitude being more than a pre-determined threshold, the image volume is re-oriented based on the predicted colatitude and the optimal longitude, and the predicted colatitude and optimal longitude determination is repeated for the re-oriented image volume.

IPC Classes  ?

  • G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

56.

Visualization of anatomical labels

      
Application Number 14851027
Grant Number 09691157
Status In Force
Filing Date 2015-09-11
First Publication Date 2016-03-17
Grant Date 2017-06-27
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Zhan, Yiqiang
  • Hermosillo Valadez, Gerardo

Abstract

A framework for visualization is described herein. In accordance with one implementation, one or more structures of interest are localized in a three-dimensional image. A position of an anatomical label may be determined using a positioning technique that is selected according to a view type of a visualization plane through the image, wherein the position of the anatomical label is outside the one or more structures of interest. The anatomical label may then be displayed at the determined position in the visualization plane.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 15/00 - 3D [Three Dimensional] image rendering
  • G06T 7/10 - Segmentation; Edge detection
  • G06T 7/11 - Region-based segmentation
  • G06T 7/00 - Image analysis

57.

Methods, systems and apparatuses for rapid segmented, accelerated, and simultaneous multi-slice echo planar imaging

      
Application Number 14271754
Grant Number 09588208
Status In Force
Filing Date 2014-05-07
First Publication Date 2015-11-12
Grant Date 2017-03-07
Owner
  • National Institutes of Health (NIH), U.S. Dept. of Health and Human Services (DHHS), U.S. Government NIH Division of Extramural Inventions and Technology Resources (DEITR) (USA)
  • Siemens Healthcare GmbH (Germany)
Inventor
  • Polimeni, Jonathan Rizzo
  • Bhat, Himanshu
  • Heberlein, Keith Aaron
  • Setsompop, Kawin
  • Witzel, Thomas
  • Cauley, Stephen Farman

Abstract

A method for accelerated segmented magnetic resonance (MR) image data acquisition includes using a plurality of RF pulses to excite one or more slices of an anatomical area of interest according to a predetermined slice acceleration factor. Next, a collapsed image comprising the slices is acquired using a consecutive segment acquisition process. Then, a parallel image reconstruction method is applied to the collapsed image to separate the collapsed image into a plurality of slice images.

IPC Classes  ?

  • G01V 3/00 - Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination or deviation
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
  • G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
  • G01R 33/34 - Constructional details, e.g. resonators
  • G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
  • G01R 33/48 - NMR imaging systems
  • G01R 33/483 - NMR imaging systems with selection of signal or spectra from particular regions of the volume, e.g. in vivo spectroscopy
  • G01R 33/54 - Signal processing systems, e.g. using pulse sequences

58.

Method of multislice MR elastography with multiband acquisition

      
Application Number 14256004
Grant Number 09588209
Status In Force
Filing Date 2014-04-18
First Publication Date 2015-10-22
Grant Date 2017-03-07
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Priatna, Agus
  • Wang, Dingxin
  • Bhat, Himanshu

Abstract

A method for performing multi-slice MR Elastography on an anatomical region of interest associated with a patient includes inducing shear waves at a shear wave frequency value (e.g., between 25-500 Hz) in the anatomical region of interest using an external driver. Next, the anatomical region of interest is imaged during a single patient breath-hold using an MRI acquisition process. Following the MRI acquisition process(es), phase images of the anatomical region of interest are generated based on an acquired RF signal. These phase images may then be processed (e.g., using an inversion algorithm) to generate one or more quantitative images depicting stiffness of the anatomical region of interest. In some embodiments, a wave image is also generated showing propagation of the plurality of shear waves through the anatomical region of interest based on the phase images.

IPC Classes  ?

  • G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
  • G01R 33/561 - Image enhancement or correction, e.g. subtraction or averaging techniques by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
  • G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
  • G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
  • G01R 33/483 - NMR imaging systems with selection of signal or spectra from particular regions of the volume, e.g. in vivo spectroscopy

59.

Automatic segmentation of articulated structures

      
Application Number 14450325
Grant Number 09286688
Status In Force
Filing Date 2014-08-04
First Publication Date 2015-02-12
Grant Date 2016-03-15
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Reda, Fitsum Aklilu
  • Peng, Zhigang
  • Liao, Shu
  • Hermosillo Valadez, Gerardo
  • Shinagawa, Yoshihisa
  • Zhan, Yiqiang
  • Zhou, Xiang Sean

Abstract

Disclosed herein is a framework for segmenting articulated structures. In accordance with one aspect, the framework receives a target image, a reference image, statistical shape models, local appearance models and a learned landmark detector. The framework may automatically detect first centerline landmarks along centerlines of articulated structures in the target image using the learned landmark detector. The framework may then determine a non-rigid transformation function that registers second centerline landmarks along centerlines of articulated structures in the reference image with the first centerline landmarks. Mean shapes of the statistical shape models may then be deformed to the target image space by applying the non-rigid transformation function on the mean shapes. The framework may further search for candidate points in the mean shapes using the local appearance models. The mean shapes may be fitted to the candidate points to generate a segmentation mask.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis
  • G06K 9/46 - Extraction of features or characteristics of the image
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

60.

Shape-based image segmentation

      
Application Number 14253915
Grant Number 09082193
Status In Force
Filing Date 2014-04-16
First Publication Date 2014-10-23
Grant Date 2015-07-14
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Shinagawa, Yoshihisa

Abstract

Systems and methods are provided for image segmentation. In accordance with some implementations, a current segmentation mask associated with an object of interest is iteratively refined. Any image element associated with a previously generated fence is excluded from the current segmentation mask. The fence may be generated around one or more image elements that violate a shape constraint.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis
  • G21K 5/00 - Irradiation devices

61.

Synchronized navigation of medical images

      
Application Number 13853174
Grant Number 09460510
Status In Force
Filing Date 2013-03-29
First Publication Date 2014-10-02
Grant Date 2016-10-04
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Hermosillo Valadez, Gerardo
  • Salganicoff, Marcos
  • Wolf, Matthias
  • Zhou, Xiang Sean
  • Zhan, Yiqiang

Abstract

Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis

62.

Adaptive medical documentation system

      
Application Number 14166102
Grant Number 10424403
Status In Force
Filing Date 2014-01-28
First Publication Date 2014-07-31
Grant Date 2019-09-24
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Fung, Glenn
  • Overhage, Joseph Marcus
  • Dehaan, Jan
  • Farooq, Faisal
  • Krishnapuram, Balaji
  • Haley, John D
  • Brandt, Sebastian Philipp
  • Iannone, Luigi
  • Drummond, Nicholas
  • Palmisano, Ignazio

Abstract

Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.

IPC Classes  ?

  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
  • G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

63.

Data driven reduction of multi-scale models

      
Application Number 14157809
Grant Number 09507913
Status In Force
Filing Date 2014-01-17
First Publication Date 2014-07-24
Grant Date 2016-11-29
Owner Siemens Healthcare GmbH (Germany)
Inventor
  • Mansi, Tommaso
  • Comaniciu, Dorin
  • Georgescu, Bogdan
  • Kamen, Ali

Abstract

A method of computing physiological measurements resulting from a multi-scale physiological system using a data-driven model includes generating a database of physiological measurements associated with a multi-scale physiological system. A computer uses dimensionality reduction techniques on the database to identify a reduced set of components explaining the multi-scale physiological system. The computer learns a data-driven model of the multi-scale physiological system from the database. Then, new input parameters are received by the computer and used to compute new physiological measurements using the data-driven model. New derived physiological indicators are computed by the computer based on the reduced set of components. Once computed, the new derived physiological indicators may be displayed along with the new physiological measurements.

IPC Classes  ?

  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
  • G06F 17/50 - Computer-aided design
  • G06N 99/00 - Subject matter not provided for in other groups of this subclass

64.

Adaptive anatomical region prediction

      
Application Number 14096206
Grant Number 09336457
Status In Force
Filing Date 2013-12-04
First Publication Date 2014-06-12
Grant Date 2016-05-10
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Raykar, Vikas C.
  • Zhan, Yiqiang
  • Dewan, Maneesh
  • Hermosillo Valadez, Gerardo
  • Peng, Zhigang
  • Zhou, Xiang Sean

Abstract

Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06T 7/00 - Image analysis

65.

System for motion corrected MR diffusion imaging

      
Application Number 13527706
Grant Number 09687172
Status In Force
Filing Date 2012-06-20
First Publication Date 2013-07-25
Grant Date 2017-06-27
Owner
  • National Institute of Health (NIH), The United States of America, U.S. Dept. of Health and Human Services (DHHS) (USA)
  • Siemens Healthcare GmbH (Germany)
Inventor
  • Bhat, Himanshu
  • Van Der Kouwe, Andre Jan Willem
  • Tisdall, Matthew Dylan
  • Heberlein, Keith Aaron

Abstract

A system determines motion correction data for use in diffusion MR imaging using an RF signal generator and magnetic field gradient generator which sequentially acquire in a single first direction through a volume, first and second slice sets individually comprising multiple individual diffusion image slices. The first set of slices and the second set of slices are spatially interleaved within the volume, by providing in acquiring the second slice set, a low flip angle RF pulse successively followed by a non-diffusion image data readout magnetic field gradient for acquisition of data representing a two dimensional (2D) non-diffusion image used for motion detection of the first slice set successively followed by, a first diffusion imaging RF pulse followed by a first diffusion imaging phase encoding magnetic field gradient for preparation for acquiring data representing a diffusion image slice of the second slice set.

IPC Classes  ?

  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • G01R 33/563 - Image enhancement or correction, e.g. subtraction or averaging techniques of moving material, e.g. flow-contrast angiography
  • G01R 33/567 - Image enhancement or correction, e.g. subtraction or averaging techniques gated by physiological signals

66.

Symmetry-based visualization for enhancing anomaly detection

      
Application Number 13737987
Grant Number 09082231
Status In Force
Filing Date 2013-01-10
First Publication Date 2013-07-18
Grant Date 2015-07-14
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Zhou, Xiang Sean
  • Hermosillo Valadez, Gerardo

Abstract

Disclosed herein is a framework for facilitating symmetry-based visualization. In accordance with one aspect of the framework, one or more medical images are received. The medical images include first and second regions, wherein the first region is substantially symmetric to the second region. A transformation is performed on at least the second region to generate a transformed second region. The transformed second region is registered with the first region to generate an aligned second region. The aligned second region and the first region are then alternately displayed to assist anomaly detection.

IPC Classes  ?

  • G06K 9/32 - Aligning or centering of the image pick-up or image-field
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 11/60 - Editing figures and text; Combining figures or text
  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 7/00 - Image analysis
  • G06T 3/00 - Geometric image transformation in the plane of the image

67.

Magnetic resonance image distortion correction with a reference volume

      
Application Number 13645571
Grant Number 09470772
Status In Force
Filing Date 2012-10-05
First Publication Date 2013-05-30
Grant Date 2016-10-18
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Reisman, James G.
  • Shea, Steven Michael

Abstract

Distortion correction is provided in magnetic resonance imaging. Distortions in one volume are corrected using another volume. The isocenter of the other volume is nearer to an edge of the one volume than the isocenter of the one volume. Using data registration, the other volume is used to correct distortions in the one volume. The other volume may be acquired in little time relative to the acquisition of the one volume by having a smaller field of view, lower resolution, and/or smaller signal-to-noise ratio. The other volume may be a connecting volume for correcting distortions in two volumes to be composed together.

IPC Classes  ?

  • G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities

68.

Method, device and endoscopy capsule to detect information about the three-dimensional structure of the inner surface of a body cavity

      
Application Number 13582669
Grant Number 08870757
Status In Force
Filing Date 2011-02-24
First Publication Date 2013-03-07
Grant Date 2014-10-28
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Angelopoulou, Elli
  • Juloski, Aleksandar
  • Kuth, Rainer
  • Mewes, Philip

Abstract

In a method and a device to detect information about the three-dimensional structure of the inner surface of a body cavity of a patient with an endoscopy capsule introduced into said body cavity, a first partial region of the inner surface of the body cavity is illuminated with at least one light source arranged in the endoscopy capsule and an image of a second partial region that is illuminated by the first partial region and differs from the first partial region. The three-dimensional structure of the second partial region is known, and the second partial region is acquired with at least one camera arranged in the endoscopy capsule. Information about the three-dimensional structure of the first partial region is derived using the intensity values in this image.

IPC Classes  ?

  • A61B 1/06 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor with illuminating arrangements
  • A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor

69.

Solenoid system for magnetically guided capsule endoscopy

      
Application Number 13393417
Grant Number 09283044
Status In Force
Filing Date 2010-08-25
First Publication Date 2012-09-13
Grant Date 2016-03-15
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Juloski, Aleksandar
  • Reinschke, Johannes

Abstract

A solenoid system for magnetically guided capsule endoscopy, has the following components arranged under a patient table which defines a flat plane: a central coil with normal direction being perpendicular to the flat plane, and four coil pairs arranged in the form of a cross around the central coil with respect to the flat plane. Each pair includes two single coils, the normal directions of which are parallel to the flat plane and offset by 90 degrees in relation to each other.

IPC Classes  ?

  • H01F 5/00 - Coils
  • A61B 19/00 - Instruments, implements or accessories for surgery or diagnosis not covered by any of the groups A61B 1/00-A61B 18/00, e.g. for stereotaxis, sterile operation, luxation treatment, wound edge protectors(protective face masks A41D 13/11; surgeons' or patients' gowns or dresses A41D 13/12; devices for carrying-off, for treatment of, or for carrying-over, body liquids A61M 1/00)

70.

Systems and methods for viewing and analyzing anatomical structures

      
Application Number 13363753
Grant Number 09020235
Status In Force
Filing Date 2012-02-01
First Publication Date 2012-07-05
Grant Date 2015-04-28
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Krishnan, Arun
  • Salganicoff, Marcos
  • Zhou, Xiang Sean
  • Ramamurthy, Venkat Raghavan
  • Bogoni, Luca
  • Valadez, Gerardo Hermosillo

Abstract

Systems and methods for supporting a diagnostic workflow from a computer system are disclosed herein. In accordance with one implementation, a set of pre-identified anatomical landmarks associated with one or more structures of interest within one or more medical images are presented to a user. In response to a user input selecting at least one or more regions of interest including one or more of the pre-identified anatomical landmarks, the user is automatically navigated to the selected region of interest. In another implementation, a second user input selecting one or more measurement tools is received. An evaluation may be automatically determined based on one or more of the set of anatomical landmarks in response to the second user input.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61B 6/03 - Computerised tomographs
  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
  • G06T 7/00 - Image analysis
  • A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons

71.

Matching of regions of interest across multiple views

      
Application Number 13267095
Grant Number 08885898
Status In Force
Filing Date 2011-10-06
First Publication Date 2012-04-12
Grant Date 2014-11-11
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Liu, Meizhu
  • Lu, Le
  • Raykar, Vikas C.
  • Salganicoff, Marcos
  • Wolf, Matthias

Abstract

Described herein is a framework for multi-view matching of regions of interest in images. According to one aspect, a processor receives first and second digitized images, as well as at least one CAD finding corresponding to a detected region of interest in the first image. The processor determines at least one candidate location in the second image that matches the CAD finding in the first image. The matching is performed based on local appearance features extracted for the CAD finding and the candidate location. In accordance with another aspect, the processor receives digitized training images representative of at least first and second views of one or more regions of interest. Feature selection is performed based on the training images to select a subset of relevant local appearance features to represent instances in the first and second views. A distance metric is then learned based on the subset of local appearance features. The distance metric may be used to perform matching of the regions of interest.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • A61B 6/03 - Computerised tomographs
  • A61B 8/13 - Tomography

72.

Coil assembly for guiding a magnetic object in a workspace

      
Application Number 13254132
Grant Number 08452377
Status In Force
Filing Date 2010-02-12
First Publication Date 2011-12-29
Grant Date 2013-05-28
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Reinschke, Johannes

Abstract

A coil assembly for guiding a magnetic object, such as an endoscopy capsule, in a workspace, wherein the magnetic object exhibits a magnetic dipole, includes different versions of coil assemblies having a number of individual coils and corresponding activation units for feeding current to the respective coils. The coil arrangement can have exactly eleven individual coils and eight power amplifiers, nine individual coils and seven power amplifiers, eight individual coils with six or seven power amplifiers, six individual coils with five power amplifiers, and five individual coils with five power amplifiers.

IPC Classes  ?

  • H01F 5/00 - Coils
  • A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
  • A61M 25/00 - Catheters; Hollow probes

73.

Method and device for navigating an endoscopic capsule

      
Application Number 13202903
Grant Number 09208564
Status In Force
Filing Date 2009-11-30
First Publication Date 2011-12-15
Grant Date 2015-12-08
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Degenhardt, Achim
  • Jungkunz, Clemens
  • Kuth, Rainer

Abstract

In a method and system for navigating an endoscopy capsule in a patient, wherein the endoscopy capsule includes a camera, a first image of an object in the interior of the patient is obtained with the camera, in which a re-identifiable structural feature of the object is identified. Successive images of the interior of the patient are then automatically obtained with the camera, and the endoscopy capsule is controlled, for each image, so that the position of the structural feature remains unchanged in the individual images while the image scale is intentionally enlarged or reduced.

IPC Classes  ?

  • A61B 17/22 - Surgical instruments, devices or methods, e.g. tourniquets for removing obstructions in blood vessels, not otherwise provided for
  • G06T 7/00 - Image analysis
  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
  • A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
  • A61B 19/00 - Instruments, implements or accessories for surgery or diagnosis not covered by any of the groups A61B 1/00-A61B 18/00, e.g. for stereotaxis, sterile operation, luxation treatment, wound edge protectors(protective face masks A41D 13/11; surgeons' or patients' gowns or dresses A41D 13/12; devices for carrying-off, for treatment of, or for carrying-over, body liquids A61M 1/00)

74.

Enhanced visualization of medical image data

      
Application Number 13086448
Grant Number 09401047
Status In Force
Filing Date 2011-04-14
First Publication Date 2011-10-20
Grant Date 2016-07-26
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Bogoni, Luca
  • Valadez, Gerardo Hermosillo
  • Wolf, Matthias

Abstract

Described herein is a technology for enhanced visualization of medical image data. In one implementation, a region of interest is identified in a first set of images along at least one viewing direction. Based on the first set of images, a second set of images is reconstructed to include at least one selectively enhanced rendering of the region of interest. The selectively enhanced rendering may include a three-dimensional rendering or any other type of enhanced rendering to facilitate detection of abnormalities.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 19/00 - Manipulating 3D models or images for computer graphics
  • A61B 6/02 - Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis

75.

Method and apparatus to support evidence based medicine

      
Application Number 12717310
Grant Number 08862484
Status In Force
Filing Date 2010-03-04
First Publication Date 2011-09-08
Grant Date 2014-10-14
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Geiger, Bernhard
  • Kuth, Rainer
  • Reisman, James G.
  • Tadano, Seiichi

Abstract

A method and apparatus for providing reports of medical procedures includes a biometric data recorder to record and transmit biometric data of a patient, the biometric data being transmitted with a medical report of the medical procedure. The medical report and biometric data are transmitted as an encrypted transmission to an information center for storage. The medical reports of steps in the medical procedure for a patient are linked using the biometric data even if performed by different medical service providers. Medical reports of plural patients undergoing the procedure are stored, linked according to patient using the patient biometric data. Reports generated from the linked data anonymously report a given patient's status following the procedure. Statistical reports are generated on plural patients undergoing the procedure, and competing procedures are compared using the statistical reports.

IPC Classes  ?

  • G06Q 10/00 - Administration; Management
  • G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor

76.

Redundant spatial ensemble for computer-aided detection and image understanding

      
Application Number 13033886
Grant Number 08494238
Status In Force
Filing Date 2011-02-24
First Publication Date 2011-08-04
Grant Date 2013-07-23
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Zhou, Xiang Sean

Abstract

Described herein is a technology for facilitating computer-aided detection and image understanding. In one implementation, an input set of training images of a target structure, such as an anatomical structure, is received. The input set of training images is spatially realigned to different landmarks to generate multiple bags of training images. At least one of the multiple bags comprises substantially all the training images in the input set, but realigned to a landmark. The multiple bags of training images may be used to train a spatial ensemble of detectors, which can be employed to generate an output result by automatically detecting a target structure in an input image.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

77.

Method for contact-free magnetic navigation

      
Application Number 13016087
Grant Number 09532705
Status In Force
Filing Date 2011-01-28
First Publication Date 2011-07-28
Grant Date 2017-01-03
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Foertsch, Stefan
  • Keller, Henrik

Abstract

In a method and a system for contact-free magnetic navigation of a magnetic body in a work space that is at least partially filled with a fluid, a thickening agent is added to the fluid. The use of a thickening agent as an additive for such a fluid is also described.

IPC Classes  ?

  • A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
  • A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor

78.

Systems and methods for computer aided diagnosis and decision support in whole-body imaging

      
Application Number 12968492
Grant Number 08588495
Status In Force
Filing Date 2010-12-15
First Publication Date 2011-06-16
Grant Date 2013-11-19
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Gupta, Alok
  • Krishnan, Arun
  • Zhou, Xiang Sean

Abstract

A system for providing automatic diagnosis and decision support includes: a medical image database; generative learning and modeling modules that build distributional appearance models and spatial relational models of organs or structures using images from the medical image database; a statistical whole-body atlas that includes one or more distributional appearance models and spatial relational models of organs or structure, in one or more whole-body imaging modalities, built by the generative learning and modeling modules; and discriminative learning and modeling modules that build two-class or multi-class classifiers for performing at least one of organ, structure or disease detection or segmentation.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
  • G06Q 10/00 - Administration; Management

79.

Image display of a tubular structure

      
Application Number 12952325
Grant Number 08817014
Status In Force
Filing Date 2010-11-23
First Publication Date 2011-05-26
Grant Date 2014-08-26
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Shinagawa, Yoshihisa

Abstract

Described herein is a technology for facilitating visualization of a tubular structure. Digitized image data of the tubular structure is received and processed to determine a centerline. A first transformation operation is performed on a first set of coordinates representing the tubular structure to generate a transformed tubular structure with a straight centerline. A second transformation operation is then performed locally on a second set of coordinates representing at least one fold of the transformed tubular structure to generate a transformed fold, which is perpendicular to the centerline.

IPC Classes  ?

  • G06T 15/00 - 3D [Three Dimensional] image rendering
  • G06T 15/08 - Volume rendering
  • G06T 3/00 - Geometric image transformation in the plane of the image

80.

Multi-level contextual learning of data

      
Application Number 12962901
Grant Number 08724866
Status In Force
Filing Date 2010-12-08
First Publication Date 2011-03-31
Grant Date 2014-05-13
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Wu, Dijia
  • Lu, Le
  • Bi, Jinbo
  • Shinagawa, Yoshihisa
  • Salganicoff, Marcos

Abstract

Described herein is a framework for automatically classifying a structure in digital image data are described herein. In one implementation, a first set of features is extracted from digital image data, and used to learn a discriminative model. The discriminative model may be associated with at least one conditional probability of a class label given an image data observation Based on the conditional probability, at least one likelihood measure of the structure co-occurring with another structure in the same sub-volume of the digital image data is determined. A second set of features may then be extracted from the likelihood measure.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

81.

Systems and methods for computer-aided fold detection

      
Application Number 12879038
Grant Number 08712119
Status In Force
Filing Date 2010-09-10
First Publication Date 2011-03-17
Grant Date 2014-04-29
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Shinagawa, Yoshihisa

Abstract

Described herein is a computer-aided technology for facilitating detection of folds of an object surface. In one implementation, image data is processed to determine curvature characteristics at one or more points of the surface of a region of interest. If the curvature characteristics of one of the one or more points correspond to a hyperbolic curvature, the point is identified as a seed point. A region of a predetermined thickness is grown around the seed point so as to detect the presence of any fold feature within the grown region.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/50 - Extraction of features or characteristics of the image by analysing segments intersecting the pattern

82.

Systems and methods for automatic vertebra edge detection, segmentation and identification in 3D imaging

      
Application Number 12879434
Grant Number 08437521
Status In Force
Filing Date 2010-09-10
First Publication Date 2011-03-10
Grant Date 2013-05-07
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Lu, Le
  • Ma, Jun
  • Salganicoff, Marcos
  • Zhan, Yiqiang
  • Zhou, Xiang Sean

Abstract

Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

83.

Method for controlling the movement of an endoscopic capsule

      
Application Number 12937752
Grant Number 08348833
Status In Force
Filing Date 2009-03-25
First Publication Date 2011-03-03
Grant Date 2013-01-08
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Schmidt, Sebastian

Abstract

In a method to control the movement of an endoscopy capsule in a hollow organ of a patient using a magnet system, a movement signal of the endoscopy capsule in the hollow organ is detected, that represents the time curve of the spatial position. The movement signal is evaluated to identify a periodic signal component thereof, and the frequency of this periodic signal component is identified. The magnet system is operated to exert a force on the endoscopy capsule in the hollow organ that is periodic with the frequency of the periodic signal component, and that is directed opposite to the movement signal.

IPC Classes  ?

  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor

84.

Hierarchical classifier for data classification

      
Application Number 12887640
Grant Number 08331699
Status In Force
Filing Date 2010-09-22
First Publication Date 2011-02-24
Grant Date 2012-12-11
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Dewan, Maneesh
  • Valadez, Gerardo Hermosillo
  • Yi, Zhao
  • Zhan, Yiqiang

Abstract

Described herein is a framework for constructing a hierarchical classifier for facilitating classification of digitized data. In one implementation, a divergence measure of a node of the hierarchical classifier is determined. Data at the node is divided into at least two child nodes based on a splitting criterion to form at least a portion of the hierarchical classifier. The splitting criterion is selected based on the divergence measure. If the divergence measure is less than a predetermined threshold value, the splitting criterion comprises a divergence-based splitting criterion which maximizes subsequent divergence after a split. Otherwise, the splitting criterion comprises an information-based splitting criterion which seeks to minimize subsequent misclassification error after the split.

IPC Classes  ?

  • G06K 9/68 - Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of reference, e.g. addressable memory
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

85.

Systems and methods for detecting and visualizing correspondence corridors on two-dimensional and volumetric medical images

      
Application Number 12789535
Grant Number 09020215
Status In Force
Filing Date 2010-05-28
First Publication Date 2010-12-02
Grant Date 2015-04-28
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Chen, Yuanhsi (tony)
  • Peng, Zhigang
  • Ramamurthy, Venkat Raghavan
  • Zhou, Xiang Sean

Abstract

A method is provided for detecting a corresponding region of interest in digital medical images, the method including receiving a plurality of digital images including a primary image, at least one of the images being a projective image, identifying anatomical landmarks and structures within each of the images and correlating the images based on the identified anatomical landmarks and structures identifying a location of interest in the primary image, and automatically identifying a region of interest in the rest of the images, the region of interest corresponding to the identified location of interest in the primary image.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/00 - Image analysis

86.

System and method for candidate generation and new features designed for the detection of flat growths

      
Application Number 12777595
Grant Number 08744157
Status In Force
Filing Date 2010-05-11
First Publication Date 2010-11-11
Grant Date 2014-06-03
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Valadez, Gerardo Hermosillo

Abstract

2 belongs, calculating an intersection score that represents how close the first and second half-lines come to intersecting, and identifying point x as a candidate when a candidate score is greater than a predetermined value, wherein the candidate score is the sum of intersection scores for all neighbor points y.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06T 7/40 - Analysis of texture
  • G06T 7/00 - Image analysis
  • G06K 9/46 - Extraction of features or characteristics of the image

87.

Systems and methods for robust learning based annotation of medical radiographs

      
Application Number 12787916
Grant Number 08369593
Status In Force
Filing Date 2010-05-26
First Publication Date 2010-11-11
Grant Date 2013-02-05
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Peng, Zhigang
  • Tao, Yimo
  • Zhou, Xiang Sean
  • Zhan, Yiqiang
  • Krishnan, Arun

Abstract

Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

88.

Position control of medical appliances in the human body by means of phase difference measurement

      
Application Number 12735319
Grant Number 08360962
Status In Force
Filing Date 2008-12-08
First Publication Date 2010-10-28
Grant Date 2013-01-29
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Diehl, Dirk
  • Oppelt, Ralph
  • Reinschke, Johannes

Abstract

A system measures a change in position of a medical appliance, such as an endoscopy capsule. A device uses this measurement in order to influence the position of the medical appliance. The medical appliance sends a signal that is received by a multiplicity of spatially separate receiving devices. The time profile of the phase differences between the received signals and a reference signal provides an indication of whether the medical appliance has moved. In the event of a movement being detected, a maneuvering device can be regulated by a regulating means in such a way that the maneuvering device generates forces and/or torques and applies them to the medical appliance to counteract the detected movement.

IPC Classes  ?

  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
  • A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves

89.

Hierarchical deformable model for image segmentation

      
Application Number 12723909
Grant Number 08577130
Status In Force
Filing Date 2010-03-15
First Publication Date 2010-09-16
Grant Date 2013-11-05
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Dewan, Maneesh
  • Zhan, Yiqiang
  • Zhou, Xiang Sean
  • Yi, Zhao

Abstract

Described herein is a technology for facilitating deformable model-based segmentation of image data. In one implementation, the technology includes receiving training image data (202) and automatically constructing a hierarchical structure (204) based on the training image data. At least one spatially adaptive boundary detector is learned based on a node of the hierarchical structure (206).

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means

90.

Coil system for the contact-free magnetic navigation of a magnetic body in a working space

      
Application Number 12724597
Grant Number 08641603
Status In Force
Filing Date 2010-03-16
First Publication Date 2010-09-16
Grant Date 2014-02-04
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Juloski, Aleksandar
  • Reinschke, Johannes

Abstract

A coil system for the contact-free magnetic navigation of a magnetic body with a magnetic dipole moment in a working chamber, a number of coils and a current control unit for controlling the respective currents in the multiple coils. The current control unit generates a force on the magnetic body in a predefined direction by setting the currents in the multiple coils so that the direction of the force generated by the currents on the magnetic body at each position among a number of positions in a volume in the working chamber essentially corresponds to the predefined direction of force. This coil system has the advantage that the position of the magnetic body in the working chamber does not need to be known exactly in order to move the body in a desired direction or to align the body in a desired orientation direction. This coil system suitable for use in a medical device and by special preference in a device for capsule endoscopy. In this situation, the magnetic body is a capsule that can be navigated in the body of a patient and has an imaging system for capturing images of the internal organs of the patient and a transmit module for sending the captured images to a receiver.

IPC Classes  ?

  • A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
  • A61B 1/04 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
  • A61B 1/06 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor with illuminating arrangements

91.

Medical device guiding system, medical device guiding method, and method for creating look-up table to be used in medical device guiding system

      
Application Number 12698444
Grant Number 08412309
Status In Force
Filing Date 2010-02-02
First Publication Date 2010-08-12
Grant Date 2013-04-02
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Uchiyama, Akio
  • Kimura, Atsushi
  • Reinschke, Johannes
  • Schmidt, Wolfgang

Abstract

The accurate position detection without being affected by an unnecessary second magnetic field can be realized by calculating the unnecessary second magnetic field induced and generated at positions of magnetic field sensors by a guiding coil arranged the position detection area of the medical device due to an action of a first magnetic field generated by a magnetic field generator, at the time of position detection, and the second magnetic field is subtracted from the first magnetic field detected by the magnetic field sensors to calculate corrected magnetic-field information. Further, LUTs that store beforehand numerical information having a correlation with the second magnetic field induced and generated at the positions of magnetic field sensors are used to calculate the second magnetic field, thereby enabling to reduce an amount of calculation performed each time and realize high speed processing.

IPC Classes  ?

  • A61B 5/06 - Devices, other than using radiation, for detecting or locating foreign bodies

92.

Anatomical primitive detection

      
Application Number 12507991
Grant Number 08406494
Status In Force
Filing Date 2009-07-23
First Publication Date 2010-02-11
Grant Date 2013-03-26
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Zhan, Yiqiang
  • Dewan, Maneesh
  • Peng, Zhigang
  • Zhou, Xiang Sean

Abstract

A method of detecting an anatomical primitive in an image volume includes detecting a plurality of transformationally invariant points (TIPS) in the volume, aligning the volume using the TIPs, detecting a plurality landmark points in the aligned volume that are indicative of a given anatomical object, and fitting a target geometric primitive as the anatomical primitive based using the detected landmark points.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/32 - Aligning or centering of the image pick-up or image-field

93.

System and method for patient synchronization between independent applications in a distributed environment

      
Application Number 12480114
Grant Number 08620689
Status In Force
Filing Date 2009-06-08
First Publication Date 2009-12-17
Grant Date 2013-12-31
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Krishnan, Arun
  • Ramamurthy, Venkat Raghavan
  • Tumuluri, Venkata

Abstract

A method for synchronizing patient data between at least two independent applications in a distributed environment includes capturing screen information from a display window of a first application client that is displaying a medical image of a patient, analyzing the screen information captured from the first application client display to extract patient identifying information, and synchronizing a display of information of the patient on a second application system display screen with the first application display window using the extracted patient identification information.

IPC Classes  ?

  • G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism

94.

System and method for intelligent CAD processing

      
Application Number 12473350
Grant Number 08160347
Status In Force
Filing Date 2009-05-28
First Publication Date 2009-12-03
Grant Date 2012-04-17
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Chaudhuri, Kallol

Abstract

A computer implemented method for automatically selecting an algorithm for image analysis in a computer-aided detection/diagnosis (CAD) system includes receiving image data for a study involving a patient, querying a radiology information system (RIS) for an IHE (Integrating the Healthcare Enterprise)-worklist for the study of the patient, receiving the IHE-worklist from the RIS, analyzing the worklist to select one or more CAD algorithm for analyzing the image data, executing the selected one or more CAD algorithms to analyze the image data, and outputting results of the analysis of the image data.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

95.

Computer aided detection of pulmonary embolism with local characteristic features in CT angiography

      
Application Number 12398450
Grant Number 08244012
Status In Force
Filing Date 2009-03-05
First Publication Date 2009-10-08
Grant Date 2012-08-14
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Liang, Jianming
  • Bi, Jinbo

Abstract

A method for computer aided detection of pulmonary emboli includes acquiring medical image data. A pulmonary embolism candidate comprising a cluster of voxels is identified. It is determined whether the candidate is a true pulmonary embolism or a false positive based on a spatial distribution of intensity values for the voxels of the cluster of voxels. The pulmonary embolism candidate is presented to a user when the candidate is determined to be a true pulmonary embolism.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

96.

Dose distribution modeling by region from functional imaging

      
Application Number 12398487
Grant Number 08812240
Status In Force
Filing Date 2009-03-05
First Publication Date 2009-09-17
Grant Date 2014-08-19
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Yu, Shipeng
  • Fung, Glenn
  • Petit, Steven Florian
  • Aerts, Hugo J. W. L.
  • Offermann, Claudia
  • Oellers, Michel
  • Lambin, Philippe
  • De Ruysscher, Dirk
  • Dekker, Andreas Lubbertus Aloysius Johannes
  • Krishnan, Sriram

Abstract

Functional imaging information is used to determine a probability of residual disease given a treatment. The functional imaging information shows different characteristic levels for different regions of the tumor. The probability is output for planning use and/or used to automatically determine dose by region. Using the probability, the dose may be distributed by region so that some regions receive a greater dose than other regions. This distribution by region of dose more likely treats the tumor with a same dose, allows a lesser dose to sufficient treat the tumor, and/or allows a greater dose with a lesser or no increase in risk to normal tissue. The dose plan may account for personalized tumors as each patient may have distinct tumors. Probability of dose application accuracy may also be used, so that a combined treatment probability allows efficient dose planning.

IPC Classes  ?

  • G01N 33/48 - Biological material, e.g. blood, urine; Haemocytometers
  • G01N 31/00 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroups; Apparatus specially adapted for such methods
  • G06G 7/48 - Analogue computers for specific processes, systems, or devices, e.g. simulators
  • G06G 7/58 - Analogue computers for specific processes, systems, or devices, e.g. simulators for chemical processes
  • A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
  • G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
  • G06N 99/00 - Subject matter not provided for in other groups of this subclass
  • G06T 11/00 - 2D [Two Dimensional] image generation

97.

System and method for detecting and matching anatomical structures using appearance and shape

      
Application Number 12401899
Grant Number 07747054
Status In Force
Filing Date 2009-03-11
First Publication Date 2009-09-10
Grant Date 2010-06-29
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Zhou, Xiang
  • Georgescu, Bogdan
  • Comaniciu, Dorin
  • Rao, R. Bharat
  • Gupta, Alok

Abstract

A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

98.

Systems and methods for automatic robust anatomy detection through local voting and prediction

      
Application Number 12334898
Grant Number 08160341
Status In Force
Filing Date 2008-12-15
First Publication Date 2009-06-25
Grant Date 2012-04-17
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Peng, Zhigang
  • Zhan, Yiqiang
  • Zhou, Xiang
  • Krishnan, Arun

Abstract

A method for performing a medical imaging study includes acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

99.

System and method for additive spatial/intensity decomposition of medical images

      
Application Number 12270141
Grant Number 08175363
Status In Force
Filing Date 2008-11-13
First Publication Date 2009-05-21
Grant Date 2012-05-08
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor Zhou, Xiang

Abstract

A method for decomposing digital medical images includes providing a digital medical image, segmenting the image into one or more biological structures, extracting one or more segmented biological structures from the image by extracting all voxels within a spatial extent of each of the biological structures to construct one or more new component volumes of the biological structures. For each of the one or more new component volumes, generate a sequence of 2-dimensional projective views by moving a projection viewpoint around each the biological structure in the one or more new component images, and generate a 2-dimensional projective view from each viewpoint, and display a cine loop of the sequence of projective views where the biological structures appear to be rotating in the display.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

100.

Structure segmentation via MAR-cut

      
Application Number 12259322
Grant Number 08073217
Status In Force
Filing Date 2008-10-28
First Publication Date 2009-05-07
Grant Date 2011-12-06
Owner SIEMENS HEALTHCARE GMBH (Germany)
Inventor
  • Sun, Hui
  • Park, Sangmin
  • Lakare, Sarang

Abstract

A method for segmenting image data includes creating a plurality of marching regions within the medical image data. Region-wise segmentation is performed on the plurality of marching regions. Region-wise segmentation may include a normalized cut performed on a graph wherein each marching region represents a node. Region-wise segmentation may also include or may alternatively include a min cut performed on a graph wherein each marching region represents a node. Voxel-wise segmentation is performed on a subset of the plurality of marching regions.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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