Abstract

Embodiments in the present description provide a method for controlling the docking of a mobile sickbed with a medical apparatus. The method comprises: on the basis of a docking instruction, acquiring positioning information of a target; controlling the sickbed to move according to the positioning information; and when the sickbed moves into a docking area of the medical apparatus, under the guidance of a docking structure, controlling the sickbed to be docked with the medical apparatus. According to the embodiments in the present description, an operator can carry the mobile apparatus while moving, the movement of the sickbed is controlled by continuously changing the position of the mobile apparatus, and the sickbed can also acquire an automatic planning path and move along the automatic planning path by means of the positioning information of the medical apparatus.

IPC Classes  ?

• A61G 7/00 - Beds specially adapted for nursing; Devices for lifting patients or disabled persons

Abstract

A method and system for scanning. The method may include obtaining one or more images of a target subject acquired by an imaging device (210); determining a three-dimensional (3D) geometric model of the target subject based on the one or more images (220); obtaining an anatomical structure model of at least a portion of the target subject (230); obtaining a combination model by combining the 3D geometric model of the target subject and the anatomical structure model of at least a portion of the target subject (240); and determining one or more scanning parameters of the target subject based on the combination model (250).

IPC Classes  ?

• A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
• 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 6/03 - Computerised tomographs
• 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

Abstract

A method and system for visual registration of an image are provided. The method may include obtaining multiple images; establishing a registration relationship model including multiple registration relationships each of which is of at least two of the multiple images; and displaying at least a portion of the multiple registration relationships on a user interface, wherein one of the multiple registration relationships presents at least one of a registration mode, a registration direction, or a reference image for registration of at least two of the multiple images.

IPC Classes  ?

• G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration

Abstract

A position detection device of a multi-leaf collimator (MLC) is provided. The position detection device includes a signal emitting component, a signal feedback component, and a processor. The signal emitting component is configured to emit a signal. The signal feedback component is configured to receive the signal emitted by the signal emitting component and generate a feedback signal in response to the received signal. Installation positions of the signal emitting component and the signal feedback component are arranged so that the signal emitted by the signal emitting component can be projected onto the signal feedback component. The processor communicatively connected with the signal feedback component and configured to receive the feedback signal from the signal feedback component and determine a moving stroke of a leaf of the MLC based on the feedback signal.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
• G01B 11/00 - Measuring arrangements characterised by the use of optical techniques

Abstract

An energy spectrum acquisition method and system, and a storage medium. The acquisition method comprises: acquiring a first depth dose curve corresponding to a first energy and a second depth dose curve corresponding to a second energy; on the basis of the first depth dose curve and the second depth dose curve, respectively acquiring, in a depth direction, a first group of dose values and a second group of dose values; and determining the relationship between the first depth dose curve and the second depth dose curve on the basis of the first group of dose values and the second group of dose values; on the basis of the first depth dose curve, acquiring a first energy spectrum corresponding to the first depth dose curve; and on the basis of the first energy spectrum corresponding to the first depth dose curve and the relationship between the first depth dose curve and the second depth dose curve, determining a second energy spectrum corresponding to the second depth dose curve. An energy spectrum acquisition system (200) comprises a curve acquisition module (210), a dose value acquisition module (220), a relationship determination module (230), a first energy spectrum acquisition module (240) and a second energy spectrum determination module (250).

IPC Classes  ?

• G01T 1/36 - Measuring spectral distribution of X-rays or of nuclear radiation

Abstract

An image processing method, system and apparatus, and a storage medium. The method comprises: acquiring a model image and a normalization standard (310); performing a first instance of processing on the model image, so as to generate a recovery coefficient of the model image which has been subjected to the first instance of processing, and determining whether the recovery coefficient meets the normalization standard (320); in response to the recovery coefficient meeting the normalization standard, acquiring a target processing parameter (330), wherein the target processing parameter is a processing parameter for the first instance of processing when the recovery coefficient meets the normalization standard; and processing, on the basis of the target processing parameter, an image to be processed, so as to determine an image processing result (340).

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 7/00 - Image analysis

Abstract

A method may include obtaining a plurality of local input functions of an object, each of the plurality of local input functions being of a scanning area of the object. One of the plurality of local input functions may be obtained based on a scan for one of a plurality of table positions where a table for placing the object is located. Adjacent table positions in the plurality of table positions may correspond to an overlapping scanning area. The method may also include obtaining local input functions of at least one overlapping scanning area based on the plurality of local input functions; and determining a continuous input function of at least a portion of a target scanning area based on the local input functions of the at least one overlapping scanning area.

IPC Classes  ?

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

Abstract

A detector module(100) may be provided. The detector module(100) may comprise one or more detector elements(10). Each of the one or more detector elements(10) may include a detector crystal(110), a basal board(120), a supporting component(140), and a flexible board(130). The detector crystal(110) may be mounted on a side of the basal board(120) and configured to receive rays from a subject and generate a detection signal based on the rays. The supporting component(140) may be configured to support the basal board(120). The supporting component(140) may include a concave structure(141) for accommodating at least a portion of the flexible board(130).

IPC Classes  ?

• G01T 1/202 - Measuring radiation intensity with scintillation detectors the detector being a crystal
• G01T 7/00 - MEASUREMENT OF NUCLEAR OR X-RADIATION - Details of radiation-measuring instruments

Abstract

A slidable ring assembly (300) and a medical device (10) comprising same. The slidable ring assembly (300) comprises: at least one first conductor set, each first conductor set comprising a first conductor (310) and a second conductor (320), and the first conductor (310) and the second conductor (320) being configured into a ring shape; and at least one second conductor set, each second conductor set comprising a third conductor (330) and a fourth conductor (340), and the third conductor (330) and the fourth conductor (340) being configured into a ring shape. The first conductor (310), the second conductor (320), the third conductor (330), and the fourth conductor (340) are spaced apart from each other. The first conductor (310) is configured to introduce a first current having a first phase and a first amplitude. The second conductor (320) is configured to introduce a second current having a second phase and a second amplitude. The third conductor (330) is configured to introduce a third current having a third phase and a third amplitude. The fourth conductor (340) is configured to introduce a fourth current having a fourth phase and a fourth amplitude.

IPC Classes  ?

• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
• 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
• H01R 39/08 - Slip-rings

Abstract

A method, a system, and a readable medium for data processing. The method includes: obtaining one or more data processing parameters, the one or more data processing parameters being determined based on a reference detector module (910); obtaining target data of a target object collected by one or more signal detectors (920); and processing the target data based on the one or more data processing parameters (930).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• G01T 1/161 - Applications in the field of nuclear medicine, e.g. in vivo counting

Abstract

Methods and systems for imaging are disclosed. The method may include obtaining current information of a target subject (510). The current information may include information relating to current radiation attenuation of the target object. The method may also include obtaining reference information of the target subject (520). The reference information may include information relating to historical radiation attenuation of the target object. The method may also include determining at least one current parameter of the target subject based on the current information and the reference information (530). The method may also include obtaining a target image of the target subject based on the at least one current parameter (540).

IPC Classes  ?

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

Abstract

Methods and systems for controlling an imaging device, and detecting parameters of a detector are disclosed. The method (1000) may include applying a voltage on a semiconductor crystal of a detector of the imaging device (1010); obtaining a current of the semiconductor crystal (1020); determining, based on the voltage, the current, and at least one preset relationship, at least one parameter of the semiconductor crystal (1030); and calibrating and/or controlling the imaging device based on the at least one parameter (1040).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs

Abstract

Provided in the embodiments of the description are an image-guided radiotherapy system and a method thereof. The system comprises: a first detection component configured for collecting photon signals generated by radionuclides in the body of a subject to determine a first image of a target area of the subject; at least one imaging source configured for emitting an imaging beam to the target area of the subject to determine a second image; and a radiation source configured for emitting a treatment beam to the target area of the subject. The first detection component and the at least one imaging source are mounted on a first rotatable portion. The radiation source is mounted on a second rotatable portion. The first rotatable portion and the second rotatable portion are coaxially and coplanarly arranged. The first detection component or the at least one imaging source is configured moveable relative to the first rotatable portion.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
• H05G 1/02 - Constructional details

Abstract

A slip ring assembly (300), comprising: a base body (301), wherein the base body (301) is configured to be annular and adapted to be made of an insulating material, and in the axial direction of the base body (301), the base body (301) comprises a first side and a second side opposite to the first side; at least one first conductor (310), the first conductor (310) being configured to be annular and adapted to be fixed on the first side or the second side; and at least one second conductor (320), the second conductor (320) being configured to be annular and adapted to be fixed on the first side or the second side. The first conductor (310) and the second conductor (320) are electrically insulated, and the projections of the first conductor (310) and the second conductor (320) in the axial direction of the base body (301) at least partially overlap.

IPC Classes  ?

• H01R 39/08 - Slip-rings
• H01R 39/64 - Devices for uninterrupted current collection
• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy

Abstract

Embodiments of the present disclosure provide a method and a system for determining an image control point. The method may include obtaining a first image; determining a plurality of initial control points in the first image; dividing the first image into at least two sub-regions; and determining, based on one or more features of the plurality of initial control points, one or more target control points in each of the at least two sub-regions.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

A method, system (100, 200), and device for determining scanning parameters of computer tomography. The method may include: obtaining relevant information of a target object and one or more reference scanning parameters in a scanning parameter set (810); determining attenuation information of the target object based on the relevant information (820); and determining one or more target scanning parameters in the scanning parameter set based on the one or more reference scanning parameters and the attenuation information (830).

IPC Classes  ?

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

Abstract

A heat dissipation system and a medical system. The heat dissipation system comprises a circulation pipeline (40) and a cooling device (30). The circulation pipeline (40) is used for conveying a cooling medium to a medical system. The medical system comprises at least two electric units, and the at least two electric units have different rated cooling temperatures. The cooling device (30) is in communication with the circulation pipeline (40) and is used for adjusting the temperature of the cooling medium, so as to dissipate heat of the at least two electric units.

IPC Classes  ?

• H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating

Abstract

Systems and methods for image processing are provided. The systems obtain a plurality of images of a target subject that are captured consecutively over time. The target subject is injected with tracer and including a target body portion. For each of the plurality of images, the systems generate a sub-image of the target body portion by segmenting the image and transform the sub-image to generate a transformed sub-image in a standard space based on a template image of the target body portion. The standard space includes a plurality of template images of a plurality of body portions. The systems further determine an uptake variation curve indicating a change of tracer uptake in the target body portion over the time based on the transformed sub-images corresponding to the plurality of images.

IPC Classes  ?

• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

Systems and methods for image processing are provided. The systems may obtain a blood vessel image of a target subject. The systems may generate, based on the blood vessel image, a point cloud including a plurality of data points representing a plurality of blood vessel points of the target subject. Each of the plurality of data points may include values of one or more reference features of the corresponding blood vessel point. The systems may further for each of the plurality of blood vessel points, determine values of one or more target features of the blood vessel point based on the point cloud using a determination model. The determination model may be a trained deep learning model.

IPC Classes  ?

• G06T 7/00 - Image analysis
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06V 10/28 - Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns

Abstract

A bearing device (100) and a mobile digital radiography device (200) are provided. The bearing device (100) may include a mount (11), a support unit (12), a vibration absorption unit (13), and a connecting member (14). The mount (11) may be connected to the support unit (12). The support unit (12) may be connected to the connecting member (14) through the vibration absorption unit (13). The vibration absorption unit (13) may include a first elastic member (131) and a second elastic member (132). The first elastic member (131) and the second elastic member (132) may be disposed in different directions.

IPC Classes  ?

• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
• F16F 15/08 - Suppression of vibrations of non-rotating, e.g. reciprocating, systems; Suppression of vibrations of rotating systems by use of members not moving with the rotating system using elastic means with rubber springs

Abstract

The present disclosure provides methods and systems for image reconstruction. The methods may include: obtaining background coincidence event data and target coincidence event data, the background coincidence event data being related to a first plurality of background coincidence events, the target coincidence event data being related to a target object; obtaining a target normalization correction factor; correcting the target coincidence event data based on the target normalization correction factor; and generating a target image by performing image reconstruction based on the background coincidence event data and the corrected target coincidence event data.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

Embodiments of the present application provide a quality guarantee method and system. The method comprises: acquiring state information of a medical device; acquiring a target plan of a target object; on the basis of the state information of the medical device and the target plan, determining a prediction result; and on the basis of the prediction result, determining whether a quality guarantee test passes or not.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy

Abstract

Systems and methods for interference signal collection and processing are provided. The systems may obtain initial signals and first interference signals collected in at least one first time window during an MR scan of a target subject. The nuclei in the target subject may be in an excited state in the at least one first time window. The initial signals may be collected by a receiving coil of an MRI device, and the first interference signals may be collected by an interference signal acquisition device. The systems may also determine second interference signals collected by the receiving coil in the at least one first time window based on the first interference signals. The systems may further determine imaging signals collected by the receiving coil in the at least one first time window by correcting the initial signals based on the second interference signals.

IPC Classes  ?

• G01R 33/44 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
• G01R 33/36 - Electrical details, e.g. matching or coupling of the coil to the receiver
• 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

Abstract

The methods may include determining a scanning protocol of a medical scan of a target subject. The scanning protocol may include a first parameter value of a first operation parameter of each of one or more post-processing operations. The first operation parameter of a post-processing operation may relate to whether the post-processing operation needs to be performed on target imaging data collected in the medical scan. The methods may include obtaining the target imaging data of the target subject collected in the medical scan that is performed according to the scanning protocol. The methods may further include performing at least part of the one or more post-processing operations on the target imaging data based on the first parameter value of the first operation parameter of each of the one or more post-processing operations.

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

Abstract

Embodiments of the present application provide a method and system for quality assurance. The method comprises: acquiring state information of a medical device; acquiring a target plan of a target object; and determining a prediction result according to a quality assurance model based on the state information of the medical device and the target plan of the target object, wherein the quality assurance model is a machine learning model.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy

Abstract

The methods and systems for lesion region identification are provided. The methods may include identifying a target region corresponding to at least one reference organ from a first medical image of a target subject. The methods may include determining, based on the target region, a reference threshold used for lesion detection. The methods may further include identifying, based on the reference threshold, a lesion region from the first medical image.

IPC Classes  ?

• G06T 7/00 - Image analysis

Abstract

Systems and methods for image reconstruction are provided. A method may include obtaining image data that includes information of a plurality of coincidence events (501); for each of the plurality ofcoincidence events, identifying, based on the information of the coincidence event, identities of two original scintillator elements at each of which a photon of the coincidence event was detected (502); obtaining a depth of interaction (DOI) of each photon of the coincidence event within one original scintillator element of the two original scintillator elements (503); and determining, based on the identities and the DOIs of the two original scintillator elements, identities of two corrected scintillator elements each of which corresponds to an original scintillator element of the two original scintillator elements (504); and generating a reconstructed image based on the identities of two corrected scintillator elements of each of the plurality of coincidence events (505).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• G01T 1/20 - Measuring radiation intensity with scintillation detectors
• G01T 1/164 - Scintigraphy

Abstract

A medical imaging system (100) implements a method. The method includes: obtaining a machine learning model and preliminary training data of at least one sample subject (510), generating training input data by processing the preliminary training data (520), the preliminary training data being superior to the training input data with respect to a data quality parameter, determining a trained machine learning model by training the machine learning model based on the training input data and the preliminary training data (530), the preliminary training data being configured as training target data of the machine learning model.

IPC Classes  ?

• G06N 3/08 - Learning methods
• G06T 5/00 - Image enhancement or restoration

Abstract

Embodiments of the present disclosure provide methods and systems for imaging data process and methods and systems for imaging. The method for imaging data process may include obtaining imaging data of an object acquired from a first device; obtaining physiological feature data of the object acquired from a second device, wherein the physiological feature data at least includes synchronous physiological feature data of the imaging data; and storing the imaging data of the object associatively with the physiological feature data.

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
• 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

Abstract

The present disclosure provides methods and systems for image reconstruction. The method may include: for each element of a plurality of elements to be reconstructed in an image to be reconstructed, determining, based on a position of the element to be reconstructed in the image to be reconstructed, a first angle range corresponding to the element to be reconstructed; obtaining an adequacy limit threshold of the element to be reconstructed; determining target scan data for reconstructing the element to be reconstructed based on the first angle range, the adequacy limit threshold, and original scan data; and determining a target reconstructed image by reconstructing the plurality of elements to be reconstructed based on target scan data corresponding to the plurality of elements to be reconstructed in the image to be reconstructed.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

A mobile medical device is disclosed. The mobile medical device may include a main body (120). A gantry (121) of the main body (120) may be capable of moving.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• A61B 6/10 - Application or adaptation of safety means

Abstract

Systems and methods for medical image reconstruction are provided. The systems may determine a target temporal resolution of a target scan on a target subject within a scanning angle range. The system may determine, based on the target temporal resolution, a plurality of reconstruction angle ranges each of which being within the scanning angle range. The system may obtain scan data acquired by causing an imaging device to perform the target scan on the target subject within the scanning angle range. The system may generate a plurality of reconstruction images corresponding to the plurality of reconstruction angle ranges based on the scan data.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs

Abstract

It provides an automated scanning system (100) and a method thereof. The method may include obtaining region information of a region. The method may also include determining, based on the region information, a route from a start position of a scanning apparatus (110) to a target position. The method may further include causing the scanning apparatus (110) to move to the target position along the route. The method may still further include identifying a target portion of a subject based on image data obtained from at least one optical device set on the scanning apparatus (110), and causing the scanning apparatus (110) to scan the target portion of the subject.

IPC Classes  ?

• G06T 7/10 - Segmentation; Edge detection

Abstract

The present disclosure provides a magnetic resonance signal processing device (800). The device (800) may include: a signal receiving unit (810, 820) configured to obtain a received magnetic resonance signal, wherein at least part of the magnetic resonance signal is generated by exciting one or more specific nuclides; an analog-to-digital converter (1,2,...,2n) configured to perform an analog-to-digital conversion on the magnetic resonance signal; and a control unit (840) configured to obtain a digital output signal of the magnetic resonance signal by processing the magnetic resonance signal after the analog-to-digital conversion.

IPC Classes  ?

• G01R 33/54 - Signal processing systems, e.g. using pulse sequences
• G01R 33/46 - NMR spectroscopy

Abstract

The present disclosure provides methods and systems for determining information of an ROI of a target subject. The methods may include determining positioning information of the ROI of the target subject by processing first medical imaging data of the target subject using a first determination model. The first medical imaging data may be acquired by performing a first scan with a first field of view (FOV) on the target subject. The methods may include acquiring second medical imaging data of the target subject by performing one or more second scans with a second FOV on the target subject based on the positioning information of the ROI. The methods may further include determining, based on the second medical imaging data, detection information of the ROI.

IPC Classes  ?

• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06T 7/00 - Image analysis
• G06N 3/08 - Learning methods
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

A method implemented on at least one machine each of which has at least one processor and at least one storage device for thermal capacity prediction of a medical imaging device is provided. The method comprising: obtaining a first target prediction model, the first target prediction model including a machine learning model; obtaining property information of a tube of the medical imaging device and working status information of the medical imaging device, the working status information including a current thermal capacity of the tube and one or more scanning parameters; and determining a target predicted thermal capacity of the tube at a preset time point by processing, based on the first target prediction model, the property information and the working status information.

IPC Classes  ?

• G16H 40/40 - 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 of medical equipment or devices, e.g. scheduling maintenance or upgrades

Abstract

Systems and methods for motion artifact simulation are provided. The systems may obtain a target image including a target object. The systems may determine a plurality of sub-periods of a time period corresponding to the target image. The systems may determine a plurality of motion vector fields of the target object in the plurality of sub-periods. Each motion vector field of the plurality of motion vector fields may correspond to one of the plurality of sub-periods. The systems may determine a plurality of reconstruction images of the target object corresponding to the plurality of sub-periods based on projection data of the target image. Each reconstruction image of the plurality of reconstruction images may correspond to one of the plurality of sub-periods. The systems may generate a motion artifact simulation image of the target object based on the plurality of motion vector fields and the plurality of reconstruction images.

IPC Classes  ?

• G06N 3/04 - Architecture, e.g. interconnection topology
• G06T 5/00 - Image enhancement or restoration
• G06N 20/00 - Machine learning

Abstract

An image reconstruction task scheduling method, a scheduling apparatus, a computer device, a non-volatile computer-readable storage medium, and a computer program product. The method comprises: acquiring a dependency relationship between multiple first image reconstruction tasks of a target object (S11); determining, according to the dependency relationship, scheduling information of the multiple first image reconstruction tasks (S12); and scheduling, on the basis of the scheduling information, reconstruction data corresponding to the first image reconstruction task on which the target image reconstruction task depends (S13).

IPC Classes  ?

• G06F 9/48 - Program initiating; Program switching, e.g. by interrupt

Abstract

A method for image generation. The method may comprise: obtaining a three-dimensional (3D) base image of a target subject (310), the 3D base image being captured by performing a 3D scan on the target subject with a preset posture; obtaining one or more two-dimensional (2D) scout images of the target subject (320), the one or more 2D scout images of the target subject being captured by performing a scout scan on the target subject with the preset posture after an internal structure of the target subject changes; generating a 3D predicted image of the subject based on the 3D base image and the one or more 2D scout images (330), the 3D predicted image indicating the internal structure of the target subject when the one or more 2D scout images are captured.

IPC Classes  ?

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

Abstract

A method for coil fault detection in MRI. The method includes obtaining one or more sets of reference signals collected by a coil of a magnetic resonance imaging device in a pre-scan; obtaining a first fault detection model; determining whether the coil has a failure based on the one or more sets of reference signals and the first fault detection model.

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

Abstract

Provided are a system and a method for positron emission computed tomography (PET) image reconstruction. The method may be implemented on a computing device having at least one processor and at least one storage device, comprising: determining correction data based on original PET data (210); determining reconstruction data to be reconstructed based on the correction data (220); and generating, based on the reconstruction data, one or more of a PET reconstruction image and a PET parametric image (230).

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06N 3/08 - Learning methods

Abstract

Systems and methods for motion correction of a positron emission computed tomography (PET) image are disclosed. The method may include: obtaining scanned images of a scanned object generated at a plurality of time points (310); and determining a parametric image by performing a correction processing on the scanned images (320), wherein the correction processing may be configured to correct an influence of a motion of the scanned object on the scanned images.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06N 20/00 - Machine learning

Abstract

A C-arm-based device (1100, 2100, 8100) is disclosed. The C-arm-based device (1100, 2100, 8100) may include a C-arm component (2110, 8110) and a connection component (2120). The C-arm component (2110, 8110) may include a first arm section (2111, 8111) and a second arm section (2112, 8112). The connection component (2120) may include a first guiding section (2121) and a second guiding section (2122) separately disposed on a base (1200, 2200, 8200). The first arm section (2111, 8111) is movably connected to the first guiding section (2121). The second arm section (2112, 8112) is movably connected to the second guiding section (2122).

IPC Classes  ?

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

Abstract

The present disclosure relates to systems and methods for image reconstruction. The systems may obtain one or more projection images of an object and a first reconstruction image corresponding to the one or more projection images. The systems may determine, for each of the one or more projection images, an initial range of a target region on the projection image based on the first reconstruction image. The target region may be a low-gray region generated on the projection image by a substance with an X-ray attenuation coefficient greater than a predetermined threshold. The systems may determine, within the initial range, the target region on the projection image. The systems may generate a three-dimensional (3D) image of the object based at least on target regions corresponding to the one or more projection images.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

A method and a system for medical imaging may be provided. A first optical image of a target subject that includes a target region to be scanned or treated by a medical device may be obtained. At least one body part boundary and at least one feature point of the target subject may be identified using at least one target recognition model from the first optical image. An image region corresponding to the target region of the target subject may be identified from the first optical image based on the at least one body part boundary and the at least one feature point. At least one first edge of the image region may be determined based on the at least one body part boundary, and at least one second edge of the image region may be determined based on the at least one feature point.

IPC Classes  ?

• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• G06N 20/00 - Machine learning

Abstract

The embodiments of the present invention provide a medical equipment operation guidance method, the method comprising: acquiring retrieval information, which is input by a user, wherein the retrieval information comprises a corresponding target task; and on the basis of the retrieval information, determining at least one piece of guidance information corresponding to the retrieval information, wherein the guidance information is used for guiding the user to complete the target task.

IPC Classes  ?

• G16H 70/20 - ICT specially adapted for the handling or processing of medical references relating to practices or guidelines

Abstract

Systems and methods for motion correction, the method includes obtaining an original image including a motion artifact (510). The method includes obtaining a target motion correction model (520). The method includes generating a target image by removing the motion artifact from the original image using the target motion correction model (530).

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

Systems and methods for image reconstruction are disclosed. The method may include: obtaining, by a peripheral processor, scan data of a subject from a data acquisition module of a medical device(510); generating, by the peripheral processor, a preview image of the subject based on the scan data (520); transmitting, by the peripheral processor, the preview image to a slip ring of the medical device (530); transmitting, by the peripheral processor, the preview image to a display module for display (540).

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

Systems and methods for motion correction for a medical image. The systems may obtain a plurality of training samples each of which includes a sample image of a heart and a gold standard image of the heart. The sample image may have a motion artifact and the gold standard image may be with substantial removal of the motion artifact. The systems may also determine a motion correction model by training, based on the plurality of training samples according to a combined loss function, a preliminary model. The combined loss function may include at least a local loss function.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

A method and a system for positron emission tomography (PET) imaging may be provided. Scan data of an object in a first time period of a PET scan of the object may be obtained. A reference image of the object may be also obtained. The reference image may be reconstructed based on reference scan data in a second time period of the PET scan. A target image of the object in the first time period may be generated using an image reconstruction model based on the scan data in the first time period and the reference image of the object.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

A radiotherapy system (100), comprising: a first imaging component (230, 330, 430, 530, 630, 730), a second imaging component (220, 320, 420, 520, 620, 720), and a therapeutic component (210, 310, 410, 510, 610, 710). The first imaging component (230, 330, 430, 530, 630, 730) and the second imaging component (220, 320, 420, 520, 620, 720) are used for determining a target region of an object and/or guiding the emission of a therapeutic ray. The therapeutic component (210, 310, 410, 510, 610, 710) may be used for emitting a therapeutic ray to the target region. The isocenter of therapeutic component (210, 310, 410, 510, 610, 710) coincides with the isocenter of the second imaging component (220, 320, 420, 520, 620, 720).

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
• 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 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

Abstract

A radiation therapy system may include a magnetic resonance imaging (MRI) device configured to acquire MRI data with respect to a region of interest (ROI). The MRI device may include a main magnet that is around a longitudinal axis and configured to generate a magnetic field. The MRI device may also include a radiation therapy device configured to perform a treatment on at least one portion of the ROI by delivering, based on the MRI data, therapeutic radiation to the at least one portion of the ROI. The radiation therapy device may be rotatable around the longitudinal axis. The MRI device may also include a first shielding structure configured to provide interference shielding for the MRI device or the radiation therapy device. The radiation therapy device may be rotatable relative to the first shielding structure around the longitudinal axis.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
• 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

Abstract

A system (100) includes a magnetic resonance imaging (MRI) device (320, 720, 920) configured to perform an imaging of a subject. The MRI device (320, 720, 920) may include a cryostat (330, 730, 930). The cryostat (330, 730, 930) may include a first cooling chamber (334) and a second cooling chamber (335) that are in fluid communication through a connection conduit (360). The connection conduit (360) may be located on a side of a central axis of the first cooling chamber (334) or a central axis of the second cooling chamber (335). The system (100) may include a radiation source (310, 710, 910) configured to emit a radiation beam toward the subject. The radiation source (310, 710, 910) may be positioned between the first cooling chamber (334) and the second cooling chamber (335) such that the first cooling chamber (334) and the second cooling chamber (335) are outside of a radiation range of the radiation beam.

IPC Classes  ?

• G01R 33/04 - Measuring direction or magnitude of magnetic fields or magnetic flux using the flux-gate principle
• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
• 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

Abstract

Embodiments of the present description provide an image processing method and system. The method comprises: obtaining a target image of an object; obtaining at least one reference image of the object, the imaging device corresponding to the at least one reference image being different from the imaging device corresponding to the target image; and correcting the target image on the basis of the at least one reference image.

IPC Classes  ?

• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

Detector systems may include a plurality of edge-on detector modules (200, 300, 400A, 400B, 400C, 500, 600, 700, 800, 900). Each edge-on detector module (200, 300, 400A, 400B, 400C, 500, 600, 700, 800, 900) may include: a silicon substrate (210, 310, 410, 510, 610, 710, 810, 910) including a front side corresponding to a first side of the each edge-on detector module and a rear side corresponding to a second side of the each edge-on detector module (200, 300, 400A, 400B, 400C, 500, 600, 700, 800, 900); a plurality of detection elements (220, 320, 420, 520, 620, 720, 820, 920) disposed on the front side of the silicon substrate (210, 310, 410, 510, 610, 710, 810, 910); a backside electrode (330, 430, 530, 630, 730, 830, 930) disposed on the rear side of the silicon substrate (210, 310, 410, 510, 610, 710, 810, 910); and/or an anti-scatter structure (440, 450, 540, 640, 760, 770, 940, 950, 970) disposed on at least one of the first side or the second side of the each edge-on detector module (200, 300, 400A, 400B, 400C, 500, 600, 700, 800, 900), the anti-scatter structure (440, 450, 540, 640, 760, 770, 940, 950, 970) being configured to prevent or reduce scattering of photons emitted into the silicon substrate. The silicon substrate (210, 310, 410, 510, 610, 710, 810, 910), the plurality of detection elements (220, 320, 420, 520, 620, 720, 820, 920), the backside electrode (330, 430, 530, 630, 730, 830, 930), and/or the anti-scatter structure (440, 450, 540, 640, 760, 770, 940, 950, 970) may be configured as an integral piece.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• G01N 23/04 - 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
• G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beam; Measurement of spatial distribution of radiation
• G01T 1/24 - Measuring radiation intensity with semiconductor detectors

Abstract

Systems and methods for data processing are disclosed. The methods may include obtaining first data of a subject acquired by an imaging device (510), the first data relating to a truncation artifact, transforming the first data from a first form to a second form (520), and generating, based on the first data in the second form, truncation artifact corrected data using a data processing model (530).

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

Methods and systems for prompting abnormal conditions of medical systems are provided. The methods may include determining, based on operational data of a medical system, abnormal information of the medical system(1402); and generating prompt information for prompting the abnormal information of the medical system, wherein the prompt information includes image data encoding at least one of the abnormal information or system information of the medical system(1404).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs

Abstract

Systems (100) and methods (400) for medical imaging. The systems (100) may obtain an initial image of an object (118), the initial image may include a first region of interest (ROI) and one or more second ROIs (step 410). The systems (100) may determine, based on the initial image, a first position corresponding to the first ROI and one or more second positions each of which corresponds to one of the one or more second ROIs (step 420). The systems (100) may obtain scan data of the object (118) by causing an imaging device (110) to scan the object (118) based on the first position and the one or more second positions (step 430). The systems (100) may determine an injection parameter of a drug that is injected into the object (118) based on the scan data (step 440). The systems (100) may generate a target image of the object (118) based on the injection parameter and the scan data of the object (118) (step 450).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations

Abstract

The embodiments of the present disclosure provide methods, systems and computer storage mediums for processing an image. The method may include: obtaining a plurality of projection images generated at a plurality of angles; reconstructing, based on the plurality of projection images, a plurality of tomographic images of a plurality of slices; and obtaining a target image sequence based on the plurality of tomographic images of the plurality of slices, wherein the target image sequence including one or more fusion images, and the one or more fusion images are generated based on one or more tomographic images of the plurality of tomographic images corresponding to one or more slices of the plurality of slices.

IPC Classes  ?

• G06T 3/00 - Geometric image transformation in the plane of the image

Abstract

An apparatus for supplying power is disclosed. The apparatus may comprise a power supply circuit and a processing unit, wherein the power supply circuit may be connected with an electric energy input end of the processing unit, and the power supply circuit may provide a first power supply for the processing unit; and a forward voltage output end of the processing unit may provide a forward power supply, and a backward voltage output end of the processing end may provide a negative power supply, wherein the processing unit may includes a resonant circuit, a first switching frequency of the processing unit may include a resonant frequency of the resonant circuit, and the resonant frequency may be outside an effective frequency range of a load of the apparatus for supplying power.

IPC Classes  ?

• H02M 1/14 - Arrangements for reducing ripples from dc input or output

Abstract

Provide a method, system, and medium for processing an image. The method comprises: obtaining a plurality of dynamic frame images, each of the plurality of dynamic frame images at least including dynamic image information of a target region; and determining the time-activity curve by processing the plurality of dynamic frame images.

IPC Classes  ?

• G06T 7/11 - Region-based segmentation

Abstract

A method for attenuation map generation(400) may include obtaining first PET data relating to first background events occur during a first PET scan(410), which is performed by a PET scanner(110) with no subject within a detection tunnel of the PET scanner(110); obtaining second PET data relating to second background events occur during a second PET scan(420), which is performed by the PET scanner(110) with a subject within the detection tunnel; generating, based on the first PET data and the second PET data, a target attenuation map of the subject(430), wherein the first background events and the second background events may occur when a first particle and a second particle are detected by crystal units of the PET scanner(110) within a background coincident window, and the first particle and the second particle may be different types of particles produced by a radioactive decay of a crystal material of the PET scanner(110).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

Abstract

A method and a system for training an initial artifact removal model may be provided. One or more first initial images, one or more objective feature maps corresponding to the one or more first initial images, and one or more reference images corresponding to the one or more first initial images may be obtained. A trained artifact removal model may be generated by training the initial artifact removal model using the one or more first initial images, the one or more objective feature maps, and the one or more reference images.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

The present disclosure relates to systems and methods for image processing. The method may include obtaining a first image and a second image of a first modality of a target object. The first image may correspond to a first state of the target object, and the second image may correspond to a second state of the target object. The method may include obtaining a third image of a second modality of the target object. The third image may correspond to the first state of the target object. The method may further include determining, based on the first image, the second image, the third image, and an image processing model, a fourth image of the second modality of the target object under the second state.

IPC Classes  ?

• G06T 7/00 - Image analysis

Abstract

The present disclosure provides systems and methods for image segmentation. The method may include determining, based on image data of a subject, an initial boundary of a target object inside the subject, wherein a difference between a first parameter value of at least one parameter of the target object and a second parameter value of the at least one parameter of the subject satisfies a condition; determining, based on the initial boundary of the target object, a closed boundary of the target object; and segmenting, based on the initial boundary and the closed boundary, a target portion corresponding to the target object from the image data.

IPC Classes  ?

• G06T 7/00 - Image analysis

Abstract

Systems (100) and methods for image reconstruction. The methods may include obtaining raw data of an object generated by an imaging device (501), generating preprocessed data by preprocessing the raw data (503), generating initial image data by performing, according to a plurality of reconstruction parameters associated with a plurality of potential reconstruction needs, a reconstruction operation on the preprocessed data (505), such that the initial image data meets the plurality of potential reconstruction needs, storing the initial image data (507), retrieving target data from the initial image data according to a target reconstruction need (601), generating a target image of the object by performing a postprocessing operation on the target data, such that the target image meets the target reconstruction need (603).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs

Abstract

The embodiments provide a method for vascular analysis. The method may include determining a peak phase in a plurality of phases based on perfusion scanning data of the plurality of phases (210); obtaining a reconstruction result of the peak phase by performing, based on the perfusion scanning data of the peak phase, image reconstruction (220); and performing vascular analysis based on the reconstruction result of peak phase (230).

IPC Classes  ?

• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

The embodiments of the present disclosure provide methods and systems for image processing. The method may include: obtaining one or more initial material density images; and inputting the one or more initial material density images into a trained image processing model to obtain one or more target material density images; wherein the trained image processing model is configured to simultaneously perform decomposition processing and at least one of noise reduction processing or artifact removal processing on the one or more initial material density images.

IPC Classes  ?

• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06T 5/00 - Image enhancement or restoration
• G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
• G06N 3/08 - Learning methods

Abstract

A medical device (110), a method and a system (100) for monitoring the medical device (110). The method may include obtaining a plurality of first images of a scanning room acquired by a first monitoring device (160) arranged in the scanning room; obtaining an analysis result by analyzing the plurality of first images; and controlling the medical device (110) based on the analysis result, the medical device (110) including an examination table (116). A control mode of the medical device (110) may include at least one of controlling the medical device (110) to adjust a height of the examination table (116), controlling the medical device (110) to send an object to a target position, or controlling a running state of the medical device (110).

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 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves

Abstract

The present disclosure relates to systems and methods for volume data rendering. The methods may include obtaining an initial image relating to volume data of a subject by performing a path tracing operation on the volume data, obtaining a total sampling operation count corresponding to the initial image, determining, based on the volume data, one or more reference parameters relating to the initial image, and generating, based on historical image data relating to the volume date of the subject, the initial image, the total sampling operation count, and the one or more reference parameters, a target image using an image processing model.

IPC Classes  ?

• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments

Abstract

A system (100) for acquiring a physiological signal of a target may include a projection module (110) configured to project a structured light to a designated region of the target; an acquisition module (120) configured to acquire a reflected structured light formed by the structured light reaching the designated region; and a processing module (130) configured to determine the physiological signal of the target based on the acquired reflected structured light.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment

Abstract

Systems and methods for medical image processing. The method may include obtaining a contrast image of an object and at least one mask image of the object. The method may further include extracting a plurality of target structures from the at least one mask image by using one or more preset processing algorithms. The method may further include generating a subtracted image by subtracting the plurality of target structures from the contrast image.

IPC Classes  ?

• G06T 7/00 - Image analysis

Abstract

Systems (100,110,500,900) and methods for medical imaging may be provided. A respiratory amplitude of a respiratory motion of a subject during a medical scan may be determined based on a respiratory signal relating to the respiratory motion. The respiratory signal may be collected using a respiratory motion detector (120,510,820) by emitting detecting signals toward a target region of the subject. Surface information of the target region may be obtained. The respiratory amplitude may be corrected based on the surface information of the target region.

IPC Classes  ?

• A61B 5/08 - Measuring devices for evaluating the respiratory organs
• A61B 6/03 - Computerised tomographs
• 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

Abstract

An MLC (200) may include a plurality of leaves (220) configured to shape a radiation field, and a plurality of driving assemblies each of which is configured to drive one of the plurality of leaves (220) to a desired target position for shaping the radiation field. The driving assembly (300) associated with a leaf may include a driving component (302) configured to drive the leaf toward a desired first position with a speed exceeding a speed threshold; and a braking component (304) configured to stop the leaf within a time period in response to a determination that the leaf arrives at the desired first position. In some embodiments, the time period of the braking component (304) for stopping the leaf may be less than a time threshold.

IPC Classes  ?

• G21K 1/04 - Arrangements for handling particles or ionising radiation, e.g. focusing or moderating using diaphragms, collimators using variable diaphragms, shutters, choppers

Abstract

Systems and methods for medical imaging are provided. The system may obtain a scout image of a subject lying on a scanning table. The scanning table may include N portions corresponding to N bed positions of a target scan, and an i thportion of the N portions may correspond to an i thbed position of the N bed positions (302). For the i thbed position, the system may determine one or more body parts of the subject located at the i thportion of the scanning table based on the scout image (304); and determine at least one scanning parameter or reconstruction parameter corresponding to the i th bed position based on the one or more body parts of the subject (306).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• G06T 7/00 - Image analysis
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods
• G16H 40/60 - 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

Abstract

The present disclosure relates to a system (100) and a method for optimizing medical imaging management. The system (100) may include an imaging device (210), a table module (220), and a transfer module (230). The imaging device (210) may include a bore (214) configured to accommodate a subject (400). The table module (220) may include an examination table (222) and a motion actuator (224). The motion actuator (224) may be configured to move the examination table (222) into or out of the bore (214). The transfer module (230) may include a support assembly (234) and a transfer table (232). The transfer table (232) may be movably disposed on the support assembly (234). The support assembly (234) may be configured to support the transfer table (232) and transport the transfer table (232), and the transfer table (232) may be configured to laterally connect to the examination table (222) and move with the examination table (222) into or out of the bore (214).

IPC Classes  ?

• A61B 6/04 - Positioning of patients; Tiltable beds or the like

Abstract

The present disclosure relates to methods and devices for data transmission. The methods is implemented on a data processing unit (220) of a computed tomography (CT) device, the data processing unit (220) is communicatively connected to a plurality of first communication links and at least one second communication link. The method comprises: determining, whether a first communication link group includes at least one failed communication link, the first communication link group including the plurality of first communication links; in response to determining that the first communication link group includes at least one failed communication link, selecting, from the at least one second communication link, at least one target communication link matching the at least one failed communication link; and adjusting the first communication link group to a second communication link group, and the second communication link group including at least the at least one target communication link.

IPC Classes  ?

• H04N 1/00 - PICTORIAL COMMUNICATION, e.g. TELEVISION - Details thereof

Abstract

MRI systems(100) and compositions thereof are provided. The MRI systems(100) may include a main magnet(1,201) configured to generate a primary magnetic field, the main magnet(1,201) forming a bore. The MRI system(100) may include a gradient coil assembly(5, 202, 300, 500, 1100, 1200) arranged in the bore and configured to generate a gradient magnetic field that provides a magnetic field environment with the main magnetic field. The gradient coil assembly(5, 202, 300, 500, 1100, 1200) may include a shielding gradient coil(320, 520-1, 520-2, 1102-1, 1102-2, 1210-1, 1210-2) including two or more coil units(521, 522, 523, 524, 810, 820, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1221', 1222', 1223' 1224', 1125',1126', 1127', 1128'). One of the two or more coil units(521, 522, 523, 524, 810, 820, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1221', 1222', 1223' 1224', 1125',1126', 1127', 1128') may be wound along a first coil path(400). Another one of the two or more coil units(521, 522, 523, 524, 810, 820, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1221', 1222', 1223' 1224', 1125',1126', 1127', 1128') may be wound along a second coil path. The MRI system(100) may also include a shimming unit(3) arranged between the gradient coil assembly(5, 202, 300, 500, 1100, 1200) and the main magnet(1, 201) and configured to homogenize the main magnetic field.

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

Abstract

A system and a method for rotor speed determination. The system may includes: acquiring, based on a sensor (120), a plurality of pulses associated with movement of a rotor (110) within a plurality of time periods, the rotor (110) being operably connected with the sensor (120); determining, based on a specific pulse associated with the movement of the rotor (110) within a previous time period and an actual pulse count associated with the movement of the rotor (110) within a target time period, an ideal time period for determining a speed of the rotor (110) in the target time period, the specific pulse associated with the movement of the rotor (110) within the previous time period comprising a last pulse within the previous time period or a first pulse within the previous time period; determining, based on the ideal time period or an actual pulse count within the target time period, an ideal pulse count within the ideal time period; and determining the speed of the rotor (110) in the target time period based on the ideal time period and the ideal pulse count.

IPC Classes  ?

• G01P 3/42 - Devices characterised by the use of electric or magnetic means
• G01P 3/481 - Devices characterised by the use of electric or magnetic means for measuring angular speed by measuring frequency of generated current or voltage of pulse signals

Abstract

The present disclosure relates to power transformers and medical devices having the same. A power transformer may include a first magnet comprising a first magnetic core and a first winding and a second magnet comprising a second magnetic core and a second winding wound around a side wall of the second magnetic core. The first magnetic core may include an annular body, and the first winding may be wound around a side wall of the annular body. The second magnetic core may include a groove extending from an end surface of the second magnetic core. The first magnet and the second magnet may be contactless. At least part of the annular body may be embedded in the groove. The first winding and the second winding may be at least partially overlapped along an axial direction of the second magnetic core.

IPC Classes  ?

• H02K 47/04 - Motor/generators
• H02M 7/30 - Conversion of ac power input into dc power output without possibility of reversal by dynamic converters
• H01F 27/26 - Fastening parts of the core together; Fastening or mounting the core on casing or support
• H01F 27/34 - Special means for preventing or reducing unwanted electric or magnetic effects, e.g. no-load losses, reactive currents, harmonics, oscillations, leakage fields
• H01F 19/00 - Fixed transformers or mutual inductances of the signal type

Abstract

A system (100) and method for MRI are provided. A plurality of RF parameters for an MRI scan, using an MRI scanner (110, 1200A), of a subject may be obtained. A first power loss and a first current square factor of the RF coil assembly (320, 1110) under an unloaded condition of the MRI scanner (110, 1200A) may be determined based on the plurality of RF parameters. A total power loss of the MRI scan and a second current square factor of the RF coil assembly (320, 1110) during the MRI scan may be determined based on the plurality of RF parameters. A second power loss of the RF coil assembly (320, 1110) during the MRI scan may be determined based on the first power loss, the first current square factor, and the second current square factor. A SAR of the subject during the MRI scan may be determined based on the total power loss and the second power loss.

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

Abstract

The present application relates to a method and an apparatus for training machine learning models, a computer device, and a storage medium. The method comprises: acquiring a first training sample set and a second training sample set; the training samples in the first training sample set and the second training sample set comprise medical images obtained by a medical scanning device scanning a scanned object; on the basis of the first sample set, performing multi-round model training to obtain a first machine learning model; and on the basis of the second sample set, performing multi-round model training to obtain a second machine learning model; the first machine learning model and the second machine learning model are at least partially identical in structure, and at least some of the model parameters of the second machine learning model are used when training the first machine learning model and at least some of the model parameters of the first machine learning model are used when training the second machine learning model. By use of the present method, model accuracy can be increased without the need to share medical images.

IPC Classes  ?

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

Abstract

A radiation measurement device(120) is provided. The radiation measurement device (120) comprises a scattering component(121) and a first detector(122). The scattering component(121) is located between a radiation source(111) of an imaging device(110) and the first detector(122), and configured to scatter first radiation rays emitted by the radiation source(111) into scattering rays. The first detector(122) is configured to collect first measurement data by detecting at least a portion of the scattering rays, the first measurement data reflecting an operation status of the radiation source(111).

IPC Classes  ?

• G01T 1/16 - Measuring radiation intensity
• A61B 6/03 - Computerised tomographs

Abstract

Methods for medical imaging include determining a sequence of scan states of a medical device for a sequence of regions of interest (ROIs) of a subject. Each of the sequence of scan states corresponds to an ROI in the sequence of ROIs. When the medical device is in a scan state of the sequence of scan states, an isocenter of the medical device is aligned with a center of the corresponding ROI (520). The method includes generating a set of controlling information of the medical device based on the sequence of scan states. Each of the set of controlling information is configured to switch the medical device to a corresponding scan state in the sequence of scan states (530). The method includes controlling the medical device to scan the sequence of ROIs. Before scanning each of the sequence of ROIs, the medical device is positioned to the corresponding scan state according to the corresponding controlling information (540).

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• 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 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
• 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

Abstract

A parameter imaging system and method. The method comprises: acquiring two scanned images of an object, wherein there is an overlapping region between the scanning ranges of the two scanned images; framing the two scanned images or two groups of scanning data corresponding to the two scanned images, so as to obtain frame information, wherein the overlapping region corresponds to two frames in the two scanned images; and on the basis of the frame information, determining metabolic information of a tracer in the body of the object.

IPC Classes  ?

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

Abstract

A system and a method for image reconstruction are provided. The method includes obtaining a projection image of a subject acquired by an imaging device, the projection image including a first region with a normal exposure corresponding to a first portion of the subject and a second region with an overexposure corresponding to a second portion of the subject; using first pixel values of first pixels in the first region to correct second pixel values of second pixels in the second region; and reconstructing, based on the first pixel values of the first pixels in the first region and the corrected second pixel values of the second pixels in the second region, a target image of the subject.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

Systems and methods for image correction are provided. The systems and methods may obtain raw data of a target object. The systems and methods may determine, based on the raw data of the target object, a target phase. The systems and methods may generate a first image corresponding to the target phase. The systems and methods may determine, using a preset evaluation tool, an image quality evaluation result of the first image. In response to determining that the image quality evaluation result of the first image does not satisfy a preset condition, the systems and methods may generate a set of corrected raw sub-data of the target object corresponding to the target phase by correcting a set of raw sub-data of the target object corresponding to the target phase. The systems and methods may generate, based on the set of corrected raw sub-data of the target object, a corrected image corresponding to the first image.

IPC Classes  ?

• G06T 7/20 - Analysis of motion
• G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction

Abstract

A method for data acquisition and transmission in PET may be provided. The method may include obtaining a region of interest (ROI) of an object. The method may also include determining one or more target pairs of detectors among a plurality of detectors of an imaging device based on the ROI of the object. A response of line (LOR) corresponding to each pair of the one or more target pairs of detectors may pass though the ROI when the object is located in a detection region of the imaging device. The method may further include obtaining target coincidence events corresponding to the ROI of the object based on the one or more target pairs of detectors of the imaging device.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

A motion platform, a medical bed, and a medical device are provided. The motion platform may include a moveable plate, a first driving mechanism, a second driving mechanism, and a fulcrum mechanism. The first driving mechanism and the second driving mechanism may be connected to the moveable plate at a first support point and a second support point, respectively. The fulcrum mechanism may be connected to the moveable plate at a third support point. The first support point, the second support point, and the third support point may be non-collinear. The first driving mechanism and the second driving mechanism may be configured to cause the movable plate to move in at least two degrees of freedom relative to the third support point.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy

Abstract

The present application relates to a region-of-interest extraction method and apparatus, and a device, a system and a storage medium. The region-of-interest extraction method is applied to an X-ray imaging system. The X-ray imaging system comprises a detector and an array X-ray source, wherein the array X-ray source comprises a plurality of X-ray sources having different projection angles, and imaging regions corresponding to the plurality of X-ray sources are formed on the detector. The method comprises: acquiring geometric position parameters corresponding to a plurality of X-ray sources; grouping the plurality of X-ray sources according to the geometric position parameters of the plurality of X-ray sources, and determining at least one X-ray source group, wherein imaging regions of X-ray sources in the same X-ray source group do not overlap with each other; combining the imaging regions of the X-ray sources in each of the at least one X-ray source group, so as to determine a combined imaging region corresponding to each of the at least one X-ray source group; and performing region-of-interest extraction on projection data in the combined imaging region corresponding to each of the at least one X-ray source group.

IPC Classes  ?

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

Abstract

A system and method for controlling a medical apparatus. The method comprises: acquiring a first user input (510); determining whether the first user input satisfies a trigger condition (520); if it is determined that the first user input satisfies the trigger condition, enabling a control apparatus to enter a control state (530); acquiring a tilting state of the control apparatus (540); and controlling a motion state of at least one component of the medical apparatus on the basis of the tilting state (550).

IPC Classes  ?

• A61B 6/00 - Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer

Abstract

A system and method for calibrating an image acquisition device are provided. First characteristic information of one or more optical markers in a first coordinate system applied to a medical device may be obtained. Multiple images each of which includes the one or more optical markers acquired by an image acquisition device may be obtained. Second characteristic information of the one or more optical markers in a second coordinate system applied to the multiple images acquired by the image acquisition device based on the multiple images may be obtained. A transform relationship between the first coordinate system and the second coordinate system may be determined based on the first characteristic information and the second characteristic information of the one or more optical markers.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs
• 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
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

Systems (100) and methods for data masking. The method includes obtaining data associated with coincidence events related to intrinsic background radiations of a plurality of crystals (810, 820) of the PET device (110). Each of the coincidence events may be detected by two crystals (810, 820) of the plurality of crystals (810, 820) of the PET device (110). The data associated with the each coincidence event may include first time information (870) and second time information (880). The method includes determining a first time of fight (TOF) difference corresponding to the each coincidence event based on the first time information (870) and the second time information (880). The method includes determining a second TOF difference corresponding to the each coincidence event based on locations of the two crystals (810, 820) that detect the each coincidence event. The method includes correcting the PET device (110) based on the first TOF difference and the second TOF difference.

IPC Classes  ?

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

Abstract

The present disclosure may provide a calibration system and a method for imaging field. The method may include obtaining a calibration model of a target imaging device. The calibration model may include at least one convolutional layer, and the at least one convolutional layer may include at least one candidate convolution kernel. The method may also include determining a target convolution kernel based on the at least one candidate convolution kernel of the calibration model. The method may also include determining calibration information of the target imaging device based on the target convolution kernel. The calibration information may be used to calibrate at least one of a device parameter of the target imaging device or imaging data acquired by the target imaging device.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration
• G06T 11/00 - 2D [Two Dimensional] image generation
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods

Abstract

Systems and methods for imaging are provided. The method may include obtaining a first image and topology data of an object, wherein the topology data may include first topology data and second topology data, and the first topology data may correspond to the second topology data. The method may also include determining a base material density image corresponding to the first image, determining a difference in the topology data based on the first topology data and the second topology data, and determining a second image corresponding to the first image based on the first image, the base material density image, and the difference in the topology data.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

An operation method, device, and system for a medical device, and a mobile device. The method comprises: when it is detected that a target object reaches an operation area, projecting a first picture in the operation area (S201), the first picture being used for guiding the target object into a preset area; when the target object enters the preset area, acquiring position information of the target object on the preset area, and controlling, according to the position information, a target operation device to perform a first target operation (S202); and obtaining feature information of the target object in real time when the target operation device performs the first target operation, and controlling, according to the feature information, the target operation device to adjust the first target operation (S203). The accuracy of the first target operation performed by the target operation device is ensured.

IPC Classes  ?

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

Abstract

The present disclosure is related to systems and methods for image processing. The method includes obtaining, from a first image set of a subject acquired at a first time point, a first image; obtaining, from a second image set of the subject acquired at a second time point, a second image, wherein the first image and the second image correspond to a same region of the subject; determining a displacement vector field based on the first image and the second image; and generating a target image based on the displacement vector field, the first image set and the second image set.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
• G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

Disclosed in embodiments of the present description are a target disposal method and system. The method comprises: in response to a target object being fixed on a positioning apparatus, imaging the target object by using an imaging apparatus; obtaining a plan image of the target object; generating region of interest information according to the plan image; generating a disposal plan according to the region of interest information, wherein the disposal plan comprises a plan isocenter point on the plan image; and according to the disposal plan, disposing a target part of the target object by using a disposal apparatus, wherein the target object is always fixed on the positioning apparatus from the start of the target object being fixed on the positioning apparatus to the end of the disposal.

IPC Classes  ?

• A61N 5/10 - X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy

Abstract

A housing (300, 400, 510) in an imaging apparatus(110, 600) is provided. The imaging apparatus(110, 600) may include a Magnetic Resonance (MR) component (610) and a Positron Emission Tomography (PET) component that includes a plurality of detectors (230, 450). The housing (300, 400, 510) may include one or more enclosed spaces (340, 440) configured to accommodate the plurality of detectors (230, 450) of the PET component. Each of the one or more enclosed spaces (340, 440) is defined by one or more walls (310, 330, 410, 430).

IPC Classes  ?

• G01T 7/00 - MEASUREMENT OF NUCLEAR OR X-RADIATION - Details of radiation-measuring instruments
• G01T 1/29 - Measurement performed on radiation beams, e.g. position or section of the beam; Measurement of spatial distribution of radiation
• G01R 33/42 - Screening
• A61B 6/03 - Computerised tomographs

Abstract

The system for signal processing in molecular imaging may include at least one storage device (130,220,390) including a set of instructions and at least one processor (210) in communication with the storage device (130,220,390). The at least one processor (210) may obtain a first signal that is acquired by sampling, according to a first sampling frequency, an electrical signal of a detector (112,400a,400b). The at least one processor (210) may also generate, based on the first signal and a target machine learning model, a second signal, the second signal corresponding to a second sampling frequency that is different from the first sampling frequency. The target machine learning model may specify a target mapping between the first signal and the second signal. The at least one processor (210) may further generate an image based on the second signal. The method for signal processing in molecular imaging is also disclosed.

IPC Classes  ?

• A61B 6/03 - Computerised tomographs