A framework for troubleshooting medical imaging equipment. Log event data and state data of one or more components of the medical imaging equipment are received. One or more calculations are performed based on the log event data and state data to generate processed data. One or more representations of the one or more components of the medical imaging equipment may then be generated based on the processed data, the log event data, the state data, or a combination thereof.
A physics-based network model is trained to learn weights such as trapping, detrapping, and/or transport of holes and/or electrons, as well as voltage distribution on a voxel-by-voxel basis throughout a solid-state detector model. The physics-based network may be used to estimate material property variation throughout the voxels. To reduce the number of experimental setups and information needed to train the models, the models may be trained using more easily acquired ground truth. Just the electrode signals or just the free charge data is used to train the model to characterize the solid-state detector. With this reduced data, the detector may be characterized using equivalency, such as combining multiple trapping centers to an equivalent trapping center. Regularization may be used in the loss calculation, such as where just the electrode signals are used, to deal with the reduced data available as ground truth.
Systems and methods of image reconstruction are disclosed. A positron emission tomography (PET) dataset is acquired from a PET imaging modality and a magnetic resonance imaging (MRI) dataset is obtained from an MRI modality. The MRI dataset is registered to the PET dataset. An MRI reconstructed image is generated from the MRI dataset and is registered to the PET dataset. An iterative reconstruction process is applied to the PET dataset using the MRI reconstructed image as guidance. The iterative reconstruction process includes one or more similarity coefficients and a spatially variant adaptive hyperparameter is calculated for each iteration of the iterative reconstruction process. A reconstructed image is output from the iterative reconstruction process.
Systems and methods for generating synthesized medical images of a tumor are provided. A 3D mask of an anatomical structure generated from a 3D medical image and a 3D image of a plurality of concentric spheres are received. A 3D mask of a tumor is generated based on the 3D mask of the anatomical structure and the 3D image of the plurality of concentric spheres using a first 3D generator network. A 3D intensity map of the tumor is generated based on the 3D mask of the tumor and the 3D image of the plurality of concentric spheres using a second 3D generator network. A 3D synthesized medical image of the tumor is generated based on one or more 2D slices of the 3D intensity map of the tumor and one or more 2D slices of the 3D medical image using a 2D generator network. The 3D synthesized medical image of the tumor is output.
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p.ex. l’édition
G16H 50/50 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour la simulation ou la modélisation des troubles médicaux
5.
AUTOMATIC STAGING OF NON-SMALL CELL LUNG CANCER FROM MEDICAL IMAGING AND BIOPSY REPORTS
Systems and methods for automatically staging non-small cell lung cancer are provided. Patient data relating to a cancer of a patient is received. The patient data comprises one or more medical images and one or more biopsy reports. A T-stage of the cancer is determined based on a location and a size of one or more tumors of the cancer determined using the patient data. An N-stage of the cancer is determined by combining a metastasis evaluation of the cancer to regional lymph nodes determined from the one or more medical images and a metastasis evaluation of the cancer in the regional lymph nodes determined from the one or more biopsy reports. An M-stage of the cancer is determined based on a metastasis evaluation of the cancer to anatomical structures based on the patient data. The T-stage, the N-stage, and the M-stage are output.
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p.ex. l’édition
6.
Three-Dimensional Segmentation from Two-Dimensional Intracardiac Echocardiography Imaging
For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. Rather than the brute force approach of training the generator from 2D ICE images to output a 2D segmentation, the generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. Where sufficient ground truth data is not available, computed tomography or magnetic resonance data may be used as the ground truth for the sample sparse ICE volumes. The generator is trained to output both the 3D segmentation and a complete volume (i.e., more voxels represented than in the sparse ICE volume). The 3D segmentation may be further used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p.ex. pour le traitement de la luxation ou pour la protection de bords de blessures
For quantification of blood flow by an ultrasound system, B-mode images generated with a multi-transmit, coherent image formation produce swirling or other speckle patterns in the blood regions. These patterns, as represented in specially formed B-mode images, are tracked over time to indicate two or three-dimensional velocity vectors of the blood at a B-mode resolution. Various visualizations may be provided at the same resolution, including the velocity flow field, flow direction, vorticity, vortex size, vortex shape, and/or divergence.
For ultrasound imaging with an ultrasound scanner, fat fraction of the tissue is measured. The fat fraction may be measured without access to channel data, such as from beamformed data. The speed of sound varies with the fat fraction of tissue, so the fat fraction is used to set the speed of sound in beamforming. Imaging the tissue using the fat fraction-based optimization for speed of sound may provide better images than imaging with an assumed speed.
Systems and methods of dynamic PET imaging are disclosed. A system includes a positron emission tomography (PET) imaging modality configured to execute a first scan to acquire a first PET dataset and a processor. The first PET dataset includes dynamic PET data. The processor is configured to back-project the first PET dataset to generate a plurality of histo-image frames, input each of the plurality of histo-image frames to a trained neural network, and receive a dynamic PET output from the trained neural network. Each of the histo-image frames corresponds to a first axial position of the PET imaging modality.
For robotically operating a catheter, translation and/or rotation manipulation is provided along the shaft or away from the handle, such as near a point of access to the patient. A worm drive arrangement may allow for both translation and rotation of the shaft. Some control may be provided by robotic manipulation of the handle, while other control (e.g., fine adjustments) are made by robotic manipulation of the shaft.
B25J 9/10 - Manipulateurs à commande programmée caractérisés par des moyens pour régler la position des éléments manipulateurs
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p.ex. pour le traitement de la luxation ou pour la protection de bords de blessures
A61M 25/01 - Introduction, guidage, avance, mise en place ou maintien en position des cathéters
A framework for visual explanation of classification. The framework trains (204) a generative model to generate new images that resemble input images but are classified by the classifier as belonging to one or more alternate classes. At least one explanation mask may then be generated (206) by performing optimization based on a current input image and a new image generated by the trained generative model from the current input image.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p.ex. de visages similaires sur les réseaux sociaux
A lighting arrangement for a medical imaging system having a cylindrical wall that forms a tunnel that receives a patient to be scanned. The lighting arrangement includes a light transmitting section aligned on a longitudinal axis of the imaging system wherein the light transmitting section forms a part of the tunnel. The lighting arrangement also includes a reflector section that is radially outside the light transmitting section. In addition, the lighting arrangement includes at least one lighting device located between the reflector section and light transmitting section wherein the lighting device emits light that is reflected by the reflector section onto the light transmitting section and wherein the light is then transmitted through the light transmitting section and into the tunnel to circumferentially illuminate the tunnel.
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p.ex. pour le traitement de la luxation ou pour la protection de bords de blessures
15.
PET TRANSMISSION SOURCE BASED ON CONTINUOUS BED MOTION
A method for generating transmission information in a time-of-flight positron emission tomography (PET) scanner having a patient tunnel and a plurality of PET detector rings. The PET scanner uses continuous bed motion to move a patient bed and patient through the patient tunnel. The patient receives a positron-emitting radioisotope dose prior to undergoing a PET scan. The method includes storing a positron-emitting radioisotope in a radiation shielded container. The method also includes moving the radioisotope into a stationary vessel located adjacent to the PET detectors and within a field of view of the PET scanner at substantially the same time that the patient receives the radioisotope dose to form a stationary transmission source wherein transmission information is generated while the bed undergoes continuous bed motion. Further, the method includes withdrawing the radioisotope from the vessel when the PET scan is complete and storing the radioisotope in the container.
A gantry tube for a medical imaging system. The gantry tube includes a first tube located within a second tube, wherein the first tube is oriented about a longitudinal axis of the system. The gantry tube also includes a plurality of wall elements that extend between the first and second tubes, wherein the walls and first and second tubes form a plurality of channels that extend in an axial direction substantially parallel to the longitudinal axis wherein each channel is configured to hold a detector of the system. A detector is inserted into or removed from an associated channel in an axial direction from either a first end or a second end of the gantry tube.
G01R 33/28 - Dispositions ou appareils pour la mesure des grandeurs magnétiques faisant intervenir la résonance magnétique - Détails des appareils prévus dans les groupes
A framework for image-based probe positioning is disclosed herein. The framework receives a current image from a probe. The current image is acquired by the probe within a structure of interest. The framework predicts a position of the probe and generates a recommendation of a next maneuver to be performed using the probe by applying the current image to a trained classifier. The framework then outputs the predicted position and the recommendation of the next maneuver.
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A61B 34/20 - Systèmes de navigation chirurgicale; Dispositifs pour le suivi ou le guidage d'instruments chirurgicaux, p.ex. pour la stéréotaxie sans cadre
A61B 5/06 - Dispositifs autres que ceux à radiation, pour détecter ou localiser les corps étrangers
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
18.
MAGNETIC RESONANCE HARDWARE-CONTRIBUTED ATTENUATION IN POSITRON EMISSION TOMOGRAPHY
PET imaging (406) accounts for attenuation by MR hardware (110). A camera (112) captures the MR hardware (110) as positioned on or by the patient (116). For example, MR local coils to be or as positioned between the emission sources in the patient (116) and the PET detector are optically imaged (402). Image processing is used to determine (404) the position of the MR hardware (110). The attenuation of the MR hardware (110) is accounted for in attenuation correction for PET imaging (402) based on the determined position.
The power supply in ultrasound imaging includes a switched capacitance. The capacitance is switched on to provide power during generation of pushing pulses for elasticity imaging and is switched off during other modes of imaging.
A PET system for a PET/MRI machine is disclosed. The PET system includes a PET detector assembly arranged to form a single gap aligned with the high-density support structure assembly and the shielded cable assembly that run along the patient bed in the PET/MRI machine. The PET detector arrangement maximizes the allowable diameter of the PET system within the MR magnet and ensures that the high-density material does not interfere with image acquisition. Further, various image reconstruction techniques compatible with the PET detector arrangement are described.
Ultrasound beamformer-based channel data compression allows for software-based image formation. To increase the amount of data transferred, ultrasound beamformer-based channel data compression is provided. A beamformer is used to compress instead of or in addition to traditional beamformation. The compression reduces the data bandwidth while allowing reconstruction of the original channel data.
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
G10K 11/34 - Procédés ou dispositifs pour transmettre, conduire ou diriger le son pour focaliser ou pour diriger le son, p.ex. balayage par commande électrique de systèmes de transducteurs, p.ex. en dirigeant un faisceau acoustique
G01S 7/52 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
23.
IMPROVED ATTENUATION MAP GENERATED BY LSO BACKGROUND
Various systems and computer-implemented methods for background radiation based attenuation correction are disclosed. Nuclear scan data including scan data associated with a first imaging modality and background radiation data are received. An initial background radiation attenuation map is generated and provided to a trained model configured to generate a final background radiation based attenuation map from the initial background radiation attenuation map. Attenuation correction of the scan data associated with the first imaging modality is performed based on the background radiation based attenuation map and a nuclear image is reconstructed from attenuation corrected scan data associated with the first imaging modality.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
Systems and methods include an analog-to-logic circuit and a digital processing component. The analog-to-logic circuit receives a first electrical signal, outputs a first logic signal indicating whether or not a voltage of the first pulse is greater than a first threshold voltage, and outputs a second logic signal indicating whether or not the voltage of the first pulse is greater than a second threshold voltage. The digital processing component receives the first logic pulse and the second logic pulse, determines, based on the second logic signal, if the first pulse is valid, and determines, based on the first logic signal, a first trigger time associated with the first pulse.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
G01T 1/172 - Dispositions de circuits non adaptés à un type particulier de détecteur avec des aménagements de circuits à coïncidence
G01T 1/24 - Mesure de l'intensité de radiation avec des détecteurs à semi-conducteurs
25.
Patient Handling System for a Medical Imaging System
A patient handling system (PHS) for a medical imaging system having a tunnel that extends through at least one scanning portion of the system. The PHS includes a first moveable pedestal that supports a detachable first pallet that includes a first patient. The first pedestal moves the first pallet through the tunnel to enable scanning of the first patient. The PHS also includes a second moveable pedestal located at a tunnel exit. The second pedestal attaches to the first pallet as the first pallet moves through the tunnel and the first pedestal subsequently detaches from the first pallet. The second pedestal then moves away from the tunnel exit to remove the first pallet from the tunnel. A second patient to be scanned is simultaneously prepared for scanning on a second pallet as the first pallet is moved through the tunnel in order to increase patient throughput through system.
A framework for registering anatomical to functional images using deep learning. In accordance with one aspect, the framework extracts features by applying an anatomical image and a corresponding functional image as input to a first trained convolutional neural network. A deformation field is estimated by applying the extracted features as input to a second trained convolutional neural network. The deformation field may then be applied to the anatomical image to generate a registered anatomical image.
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur les caractéristiques
Various systems and computer-implemented methods for background radiation based attenuation correction are disclosed. A first set of nuclear scan data including first scan data associated with a first imaging modality having a long-axial field of view and first background radiation data is received and a first background radiation attenuation map is generated by applying a trained machine-learning model to the first background radiation data. A first set of attenuation corrected scan data is generated by performing attenuation correction of the first scan data based only on the first background radiation attenuation map and a first image is reconstructed from the first set of attenuation corrected scan data. The disclosed background radiation based attenuation correction may be used for longer duration scans, repeat scans, and/or low-dose clinical applications, such as pediatric applications, theranostics, and/or other suitable applications.
For direct chip-on-array for a multi-dimensional transducer array, the generally rigid and conductive dematching layer is extended beyond a footprint of the transducer array. The ASIC is directly connected to the dematching layer on one side, while the other side provides for electrical connection to the elements of the array and I/O pads for connections (e.g., flex-to-dematching layer) to the ultrasound imaging system. By using the dematching layer rigidity, the ASIC may be protected during formation of the acoustic stack. By using the dematching layer conductivity, any mis-alignment is compensated by the routing through the dematching layer, and/or a large flat region is provided for I/O, allowing for good low temperature asperity contact connections with larger area than flip-chip solder bumps. By providing the I/O for the system connections on a different side of the dematching layer than the ASIC, a large keep-out distance due to underfill may be avoided.
G01S 15/89 - Systèmes sonar, spécialement adaptés à des applications spécifiques pour la cartographie ou la représentation
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
B06B 1/06 - Procédés ou appareils pour produire des vibrations mécaniques de fréquence infrasonore, sonore ou ultrasonore utilisant l'énergie électrique fonctionnant par effet piézo-électrique ou par électrostriction
29.
ADDITIONAL DIAGNOSTIC DATA IN PARAMETRIC ULTRASOUND MEDICAL IMAGING
For parametric ultrasound imaging with an ultrasound scanner, the values for multiple parameters are determined for tissue of a patient using ultrasound. The determination may be in response to a single activation, avoiding the user having to reconfigure and activate separately for each parameter. To assist in diagnosis, one or more indicators of quality of the measurements of the parameters are calculated and displayed to the user. To further assist in diagnosis, the measurement values for the patient are displayed relative to published or population values.
A cooling channel in a gantry of a medical imaging apparatus transfers heat away from the radiation detector and detector electronics, while limiting influence on magnetic fields generated within the gantry, when incorporated in a magnetic resonance imaging (MRI) system. The cooling channel includes a non-electrically conducting, non-metallic housing in conductive thermal communication with the detector electronics and the radiation detector. A cooling conduit in the housing circulates coolant fluid. A unitary, non-electrically conductive, non-metallic heat sink in the housing is in direct conductive, thermal communication with the housing and the cooling conduit. A solid, thermally conductive layer is interposed between and affixed to opposing, spaced exterior surfaces of the conduit and the heat sink
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G01R 33/34 - Systèmes d'excitation ou de détection, p.ex. utilisant des signaux radiofréquence - Détails de structure, p.ex. résonateurs
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p.ex. formation d'images par résonance magnétique
31.
COOLING SYSTEM INTEGRATED WITHIN MODULAR, DETECTOR ELECTRONIC ASSEMBLY FOR A DIAGNOSTIC MEDICAL IMAGING APPARATUS
A fluid coolant system for a gantry of a medical imaging apparatus cools scalable detector electronic assemblies (DEAs) within the gantry. Each DEA includes within its modular housing a first chill plate thermally conductively coupled to cooling detector elements therein and a separate, second chill plate thermally conductively coupled to other electronic components therein, such as electronic circuit boards and/or power supplies. In some embodiments, the first chill plate is oriented between the detector elements and the second chill plate, for thermally isolating the detector elements from other heat dissipating components within the DEA. In some embodiments, coolant flow cascades sequentially through the first chill plate and then through the second chill plate.
A fluid coolant system for a gantry of a medical imaging apparatus cools scalable detector electronic assemblies (DEAs) within the gantry. Each DEA includes therein a first chill plate for cooling detector elements and a second chill plate for cooling electronic components and power supplies. Coolant flow cascades sequentially through the first chill plate and then through the second chill plate. Plural DEAs in an interconnected chain cascade coolant in sequence through all their first chill plates, before cascading the coolant through all their second chill plates. A matrix of the scalable DEAs are circumferentially and axially oriented within the imaging system's gantry, for any axial length scanning field of the imaging apparatus.
A lighting arrangement for a medical imaging system having a cylindrical wall that forms a tunnel that receives a patient to be scanned. The lighting arrangement includes a transparent wall section formed in the wall, wherein the transparent wall section extends along a transparent portion of a wall circumference. The imaging system also includes a lighting device located adjacent an outer surface of the transparent wall section. The lighting device extends along a device portion of a wall circumference corresponding to the transparent portion wherein light emitted by the lighting device is transmitted through the transparent wall section in a direction orthogonal to a longitudinal axis of the tunnel to circumferentially illuminate the tunnel. In addition, a system status is indicated by a color of light emitted by the LEDs. Further, light emitted by the lighting device varies in intensity to indicate a changing count rate.
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p.ex. pour le traitement de la luxation ou pour la protection de bords de blessures
34.
Cooling System with Solid Material Heatsink for a Diagnostic Medical Imaging Apparatus
A gantry cooling system of a diagnostic medical imaging apparatus transfers apparatus-generated heat, such as gantry heat, to a solid material heatsink, via a circulating-fluid coolant conduit. In some embodiments, the heatsink is incorporated in the ground or within the building structure housing the apparatus.
A medical imaging system that includes a gantry having an inner bore surface that defines a bore for receiving a patient, wherein a digital display is attached to the inner bore surface of the bore. The system also includes a patient bed for moving the patient into the bore. Further, visual content is displayed on the display that has a calming effect on the patient.
A displacement mechanism for placing an optical device onto a patient's eyes and removing the optical device from the patient's eyes when the patient is located in a patient bore of a medical imaging system. The mechanism includes a pneumatic device and a resilient element attached between an inner surface of the patient bore and the optical device wherein the resilient element extends through the pneumatic device and wherein the optical device is spaced apart from the patient's eyes in a first position. A pump inflates the pneumatic device to move the optical device to a second position wherein the optical device is placed on the patient's eyes. Inflation of the pneumatic device extends the resilient element and biases the resilient element to return to the first position. A vent valve vents air from the pneumatic device to return the optical device to the first position.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 6/00 - Appareils pour diagnostic par radiations, p.ex. combinés avec un équipement de thérapie par radiations
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p.ex. formation d'images par résonance magnétique
For robotically operating a catheter, a medical catheter is controlled by rotation of the catheter as well as steering in one or more planes of a distal end of the catheter. To robotically rotate the catheter, a handle is rotated. The steering is performed separately using one or more knobs on the handle. The rotation of the handle complicates the robotic control of the knob. A mechanical decoupling is used so that rotation of the handle maintains the position of the knob relative to the handle. Gearing or transmission is used to avoid independent control of the knob and handle rotation. In an alternative or additional approach, the handle may be robotically controlled while also guiding the catheter shaft spaced away from the handle, allowing fine-tuned control of the catheter at the access point to the patient.
A61M 25/01 - Introduction, guidage, avance, mise en place ou maintien en position des cathéters
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
39.
SMART IMAGE NAVIGATION FOR INTRACARDIAC ECHOCARDIOGRAPHY
Systems and methods for automatically navigating a catheter in a patient are provided. An image of a current view of a catheter in a patient is received. A set of actions of a robotic navigation system for navigating the catheter from the current view towards a target view is determined using a machine learning based network. The catheter is automatically navigated in the patient from the current view towards the target view using the robotic navigation system based on the set of actions.
A61B 34/20 - Systèmes de navigation chirurgicale; Dispositifs pour le suivi ou le guidage d'instruments chirurgicaux, p.ex. pour la stéréotaxie sans cadre
A61B 34/32 - Robots chirurgicaux opérant de façon autonome
A61B 34/00 - Chirurgie assistée par ordinateur; Manipulateurs ou robots spécialement adaptés à l’utilisation en chirurgie
40.
Network determination of limited-angle reconstruction
A system and method include training of an artificial neural network to generate an output three-dimensional image volume based on input two-dimensional projection images, the training based on a plurality of subsets of two-dimensional projection images of each of a plurality of sets of two-dimensional projection images and associated ones of three-dimensional image volumes reconstructed from each of the plurality of sets of two-dimensional projection images.
A framework for output validation of an image reconstruction algorithm. The framework receives original input data and reconstructed image data generated by the image reconstruction algorithm based on the original input data. Analytical forward projection is performed on the reconstructed image data to generate an algorithmic version of the original input data. The original input data and the algorithmic version of the original input data are applied as input to a likeness discriminator to generate a validation value that validates the image reconstruction algorithm.
For dosimetry, a miniaturized nuclear imaging system with a solid-state detector is used to determine the activity and/or injected dose for a radiopharmaceutical. By being sized to scan the syringe or vial, the injected dose may be determined using the solid-state detector with greater accuracy than current dose calibrators and with less frequent use of a calibrated or standardized source. This miniaturized nuclear imaging system reconstructs activity in a same way as the nuclear imaging system scanning a patient, so may be used to calibrate the dose model. A tissue mimicking object with a solid-state dosimeter measures dose from the radiopharmaceutical, which dose is used to calibrate the dose model.
Machine learning network trained to tune settings and optimize images. In accordance with one aspect, a method is provided for image optimization with a medical ultrasound scanner. A medical ultrasound scanner images a patient using first settings. A first image from the imaging using the first settings and patient information for the patient are input to a machine-learned network. The machine-learned network outputs second settings in response to the inputting of the first image and the patient information. The medical ultrasound scanner re-images the patient using the second settings. A second image from the re-imaging is displayed.
G01S 13/04 - Systèmes déterminant la présence d'une cible
G01S 13/18 - Systèmes pour mesurer la distance uniquement utilisant la transmission de trains discontinus d'ondes modulées par impulsions utilisant des fenêtres en distance
G01S 13/58 - Systèmes de détermination de la vitesse ou de la trajectoire; Systèmes de détermination du sens d'un mouvement
G01S 7/02 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. Rather than the brute force approach of training the generator from 2D ICE images to output a 2D segmentation, the generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. Where sufficient ground truth data is not available, computed tomography or magnetic resonance data may be used as the ground truth for the sample sparse ICE volumes. The generator is trained to output both the 3D segmentation and a complete volume (i.e., more voxels represented than in the sparse ICE volume). The 3D segmentation may be further used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
A61B 90/00 - Instruments, outillage ou accessoires spécialement adaptés à la chirurgie ou au diagnostic non couverts par l'un des groupes , p.ex. pour le traitement de la luxation ou pour la protection de bords de blessures
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur les caractéristiques
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p.ex. formation d'images par résonance magnétique
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A61B 18/00 - Instruments, dispositifs ou procédés chirurgicaux pour transférer des formes non mécaniques d'énergie vers le corps ou à partir de celui-ci
46.
LIVER DISEASE ACTIVITY ESTIMATION WITH ULTRASOUND MEDICAL IMAGING
Ultrasound-based estimation of disease activity, such as for NAS or other activity index for NAFLD for liver disease, is provided. Ultrasound measures acoustic scatter and shear wave propagation parameters, such as measuring acoustic backscatter coefficient, shear wave velocity, and shear wave damping ratio. A score for the disease activity is determined from these scatter and shear wave propagation parameters. The physician may be assisted by relatively inexpensive and rapid ultrasound as compared to biopsy or MRI based scoring in scoring activity of a disease, such as NAFLD. Ultrasound imaging is more readily available and less expensive and MRI, and is non-invasive.
A system and method includes determination of a region of interest of an imaging subject, generation of a first linear attenuation coefficient map of the imaging subject, the first linear attenuation coefficient map generated to associate voxels of the region of interest of the imaging subject with greater linear attenuation coefficients than voxels of other regions of the imaging subject, attenuation-correction of a plurality of tomographic frames of the imaging subject based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determination of tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generation of a second linear attenuation coefficient map of the imaging subject, attenuation-correction of the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstruction of a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.
A framework for personalized recommendation. An image content profile for a current case is generated. One or more auxiliary information representations associated with the current case are further generated. Affinity scores for radiology service providers are then determined by applying service profiles of the radiology service providers, the image content profile and the one or more auxiliary information representations to a trained recommendation engine. The current case is then assigned to one of the radiology service providers based on the affinity scores.
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p.ex. DICOM, HL7 ou PACS
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p.ex. l’édition
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p.ex. pour des dossiers électroniques de patients
In a chip-on-array approach, acoustic and electronic modules are separately formed. The acoustic stack is connected to one interposer, and the electronics are connected to another interposer. Different connection processes (e.g., using low temperature bonding for the acoustic stack and higher temperature-based interconnect for the electronics) may be used. This arrangement may allow for different pitches of the transducer elements and the I/O of the electronics by staggering vias in the interposers. The two interposers are then connected to form the chip-on-array.
B06B 1/06 - Procédés ou appareils pour produire des vibrations mécaniques de fréquence infrasonore, sonore ou ultrasonore utilisant l'énergie électrique fonctionnant par effet piézo-électrique ou par électrostriction
H01L 41/113 - Eléments piézo-électriques ou électrostrictifs à entrée mécanique et sortie électrique
H01L 41/27 - Fabrication de dispositifs piézo-électriques ou électrostrictifs multicouches ou de leurs parties constitutives, p.ex. en empilant des corps piézo-électriques et des électrodes
H01L 41/311 - Montage de parties piézo-électriques ou électrostrictives avec des éléments semi-conducteurs ou avec d’autres éléments de circuit sur un substrat commun
H01L 41/083 - Eléments piézo-électriques ou électrostrictifs avec une structure empilée ou multicouche
50.
METHODS AND APPARATUS FOR DEEP LEARNING BASED IMAGE ATTENUATION CORRECTION
Systems and methods for reconstructing medical images are disclosed. Measurement data, such as magnetic resonance (MR) data and positron emission tomography (PET) data, is received from an image scanning system. Attenuation maps are generated based on the PET data and a determined background level of radiation of the image scanning system. The background level of radiation can be caused by the radioactive decay of crystal material of the image scanning system. MR images are reconstructed based on the MR data. Further, a neural network, such as a deep learning neural network, is trained with the attenuation maps and the reconstructed MR images to determine attenuation map based on a reconstructed MR image. The trained neural network can be applied to MR data received for a patient to determine a corresponding attenuation map. A final image is generated based on PET data received for the patient and the determined attenuation map.
For intraluminal ultrasound probes, two long-thin arrays (e.g., 1D arrays) are provided in the intraluminal ultrasound probe for bi-plane imaging. The arrays are rotatable relative to each other so that during insertion the arrays align to be long and thin, allowing the shaft of the probe to be narrow. For bi-plane imaging after insertion, one array is rotated relative to the other array, defining two non-parallel imaging planes.
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
Systems and methods of PET attenuation correction using low-field MR image data includes receiving a first set of image data and a set of low-field magnetic resonance (MR) image data. An attenuation correction map is generated from the low-field MR image data using a first trained neural network. At least one attenuation correction process is applied to the first set of image data based on the attenuation correction map to generate at least one clinical attenuation-corrected image.
For shear wave imaging with ultrasound, the apparent pulse repetition frequency is increased by combining displacements from different lateral locations. Different combinations based on different shear wave velocities and corresponding time shifts and/or attenuations and corresponding scalings are tested to find a smooth displacement profile for the combination. Once the smooth displacement profile is found, the corresponding shear wave velocity is estimated or determined.
For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.
For clutter reduction in ultrasound elasticity imaging, the contribution of clutter to different frequency components (e.g., the transmit fundamental and the propagation generated second harmonic) is different. As a result, a difference in displacements determined at the different frequency bands is used to reduce clutter contribution to displacements used for elasticity imaging.
Systems and methods for reconstructing medical images are disclosed. Measurement data from positron emission tomography (PET) data, and measurement data from an anatomy modality, such as magnetic resonance (MR) data or computed tomography (CT) data, is received from an image scanning system. A PET image is generated based on the PET measurement data, and an anatomy image is generated based on the anatomy measurement data. A trained neural network is applied to the PET image and the anatomy image to generate an attenuation map. The neural network may be trained based on anatomy and PET images. In some examples, the trained neural network generates an initial attenuation map based on the anatomy image, registers the initial attenuation map to the PET image, and generates an enhanced attenuation map based on the registration. Further, a corrected image is reconstructed based on the generated attenuation map and the PET image.
Color Doppler imaging with line artifact reduction is provided in multi-beam scanning. Doppler estimates representing the same spatial location but calculated from spatially distinctive transmit beam groups are combined through weighted linear interpolation. Methods of calculating the linear interpolation weights are provided based on geometric relationships and optimization functions. Complete overlapping and superposition among receive beams in the interpolation region are not required. Partial interpolation among the receive beams, where only the estimates of the outer receive scan lines may overlap and be interpolated while estimates for scan lines closer to the transmit scan line are not interpolated, allowing for more rapid frame rate.
Disclosed is a novel method of obtaining transmission scan data in a PET scanner by incorporating one or more stationary gamma-ray sources that provide forward scattered gamma-photons that can be used as transmission imaging radiation.
Provided is a PET scanner system having a PET scanner gantry that is configured for delivering a uniformly distributed cooling air to a plurality of detectors housed in the PET scanner gantry. The PET scanner gantry includes a cooling air delivery manifold that includes a patient tunnel portion; and a front funnel portion. The front funnel portion includes an annular interior wall defining an entry opening of the patient tunnel portion; and an air plenum has an annular structure for carrying a flow of pressurized cooling air received from a remote source supplements the pressurized cooling air with a supply of ambient air and directs it to the plurality of detectors.
A framework for multi-scan image processing. A single real anatomic image of a region of interest is first acquired. One or more emission images of the region of interest are also acquired. One or more synthetic anatomic images may be generated based on the one or more emission images. One or more deformable registrations of the real anatomic image to the one or more synthetic anatomic images are performed to generate one or more registered anatomic images. Attenuation correction may then be performed on the one or more emission images using the one or more registered anatomic images to generate one or more attenuation corrected emission images.
A framework for gantry alignment of a multimodality medical scanner. First image data of a non-radioactive structure is acquired by using intrinsic radiation emitted by scintillator crystals of detectors in a first gantry of the multimodality medical scanner. Second image data of the non-radioactive structure is acquired using a second gantry for another modality of the multimodality medical scanner. Image reconstruction may be performed based on the first and second image data of the non-radioactive structure to generate first and second reconstructed image volumes. A gantry alignment transformation that aligns the first and second reconstructed image volumes may then be determined.
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur les caractéristiques
For intraluminal ultrasound probes, the transducer is divided into multiple segments. The segments are connected in a way that allows them to slide relative to each other. This sliding arrangement allows for the transducer to be used in two different apertures at different times while in the patient. One aperture is shaped for insertion of the probe through a limited space, and the other aperture forms an array with a larger elevation extent, allowing greater quality imaging along the elevation dimension.
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
A61B 1/00 - Instruments pour procéder à l'examen médical de l'intérieur des cavités ou des conduits du corps par inspection visuelle ou photographique, p.ex. endoscopes; Dispositions pour l'éclairage dans ces instruments
A61B 8/12 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores dans des cavités ou des conduits du corps, p.ex. en utilisant des cathéters
B06B 1/06 - Procédés ou appareils pour produire des vibrations mécaniques de fréquence infrasonore, sonore ou ultrasonore utilisant l'énergie électrique fonctionnant par effet piézo-électrique ou par électrostriction
63.
ROBUST VIEW CLASSIFICATION AND MEASUREMENT IN ULTRASOUND IMAGING
For robust view classification and measurement estimation in sequential ultrasound imaging, the classification and/or measurements for a given image or sequence of images are gated. To prevent oscillation in results, the gating provides consistent output.
A physics-based network model is trained to learn weights such as trapping, detrapping, and/or transport of holes and/or electrons, as well as voltage distribution on a voxel-by-voxel basis throughout a solid-state detector model. The physics-based network may be used to estimate material property variation throughout the voxels. Anode and cathode signals as well as the voltage distribution are relatively strong signals compared to the weaker electron and hole signals. The relatively weaker signals may be limited in range across voxels. In order to expand the range or magnify the effect, the loss function used in training the physics-based neural network may use a weighted combination where the weaker signals are weighted more heavily than stronger signals without substantially reducing the influence of the stronger signals. This improves the inference, resulting in improvement of the accuracy and range of the trained physics-based model.
For gamma ray detection, 3D tiling is made possible by modules that include a gamma ray detector with at least some electronics extending away from the detector as a side wall, leaving an air or low attenuation gap behind the gamma ray detector. The modules may be stacked to form arrays of any shape in 3D, including stacking to form a Compton detector with a scatter detector separated from the catcher detector by the low attenuation gap where the electronics form at least one side wall between the detectors. The modules may be stacked so that the detectors from the different modules are in different planes and/or not part of a same surface (e.g., same surface provided with just 1D or 2D tiling).
Systems and methods to estimate 3D TOF scatter include acquisition of 3D TOF data, determination of 2D TOF data from the first TOF data, determination of first estimated scatter based on the second TOF data, reconstruction of a first estimated image based on the first estimated scatter and the second TOF data, determination of attenuated unscattered true coincidences based on the first estimated image, determination of second estimated scatter based on the first TOF data and the attenuated unscattered true coincidences, and reconstruction of an image of the object based on the first TOF data and the second estimated scatter.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
Systems and methods to estimated mean randoms include acquisition of list mode data describing true coincidences and delay coincidences detected by a positron emission tomography scanner during a scan of an object, determination, for each crystal of the positron emission tomography scanner and for each of a plurality of time periods of the scan, of delay coincidences including the crystal based on the list mode data, determination, each crystal, of determine a singles rate associated with each time period based on the delay coincidences determined for the crystal over the time period, determination, for each time period, of determine estimated mean randoms for each of a plurality of pairs of the crystals based on the singles rate associated with the time period for each crystal of the crystal pair, and reconstruction of an image of the object based on the estimated mean randoms for each time period and the detected true coincidences.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
G01T 1/36 - Mesure de la distribution spectrale des rayons X ou d'une radiation nucléaire
For calibration in medical emission tomography, the dosimeter and/or detector is calibrated in the field, such as at the clinic or other patient scanning location. To allow for a fewer number of calibration sources used in calibrating and/or assist in calibration for multispectral emission tomography, a calibration source includes multiple isotopes and/or a proxy source or isotope is used instead of the same isotope used in factory calibration.
Systems and methods for dose calibration. A dose calibrator may include one or more radiation sources, one or more solid-state detectors and one or more plates positioned between the one or more radiation sources and the one or more solid-state detectors. The one or more solid-state detectors capture one or more images based on emissions received from the one or more radiation sources through the one or more plates for estimating activity of the one or more radiation sources.
A system and method include an array of sensors electrically coupled to a material capable of converting a gamma ray to electrical charge, where distances between a center of a first sensor and centers of each sensor immediately-adjacent to the first sensor are substantially equal. Signals are collected from each sensor immediately-adjacent to the first sensor, and one of a plurality of logical sub-pixels of the first sensor is determined based on the signals collected from each sensor immediately-adjacent to the first sensor.
A multi-modality imaging system allows for selectable photoelectric effect and/or Compton effect detection. The camera or detector is a module with a catcher detector. Depending on the use or design, a scatter detector and/or a coded physical aperture are positioned in front of the catcher detector relative to the patient space. For low energies, emissions passing through the scatter detector continue through the coded aperture to be detected by the catcher detector using the photoelectric effect. Alternatively, the scatter detector is not provided. For higher energies, some emissions scatter at the scatter detector, and resulting emissions from the scattering pass by or through the coded aperture to be detected at the catcher detector for detection using the Compton effect. Alternatively, the coded aperture is not provided. The same module may be used to detect using both the photoelectric and Compton effects where both the scatter detector and coded aperture are provided with the catcher detector. Multiple modules may be positioned together to form a larger camera, or a module is used alone. By using modules, any number of modules may be used to fit with a multi-modality imaging system. One or more such modules may be added to another imaging system (e.g., CT or MR) for a multi-modality imaging system.
G01N 23/20066 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p.ex. rayons X ou neutrons, non couvertes par les groupes , ou en utilisant la réflexion de la radiation par les matériaux en mesurant la diffusion inélastique des rayons gamma, p.ex. effet Compton
72.
Stable photosensor gain over temperature variation in positron emission tomography
For positron emission tomography (PET) detector gain stabilization despite temperature variation, an open loop gain control based on temperature establishes a baseline gain despite possible temperature variation. The baseline gain is then adjusted with a more sensitive closed-loop (e.g., peak tracking) approach for dealing with temperature. By combining both types of gain control to deal with temperature, the advantages of both are provided while avoiding disadvantages of either approach by itself.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
G01T 1/208 - Circuits spécialement adaptés aux détecteurs à scintillation, p.ex. à l'élément photomultiplicateur
G01T 1/161 - Applications au domaine de la médecine nucléaire, p.ex. comptage in vivo
A system and method includes acquisition of a plurality of images, each of the plurality of images representing radiotracer concentration in a respective volume at a respective time period, and training of a neural network, based on the plurality of images, to output data indicative of radiation dose associated with a first volume over a first time period based on a first image representing radiotracer concentration in the first volume over a second time period, the second time period being shorter than the first time period.
Disclosed herein are novel techniques that address blurriness in medical images resulting from motion of a rigid body, such as a patient, relative to the medical scanning equipment by using a motion-correction algorithm for 3D medical images using to two-dimensional projections.
An improved method for time alignment (TA) procedure and crystal efficiency (CE) normalization estimation procedure for a PET scanner system is disclosed. In the TA procedure modeled time-of-flight (TOF) data are compared against the measured TOF data from an axially short cylinder phantom in order to find individual detector's time offsets (TOs). Then the TOs are estimated simultaneously by matching the TOF center of mass between the modeled and measured TOF data. In the CE estimation, TOF reconstruction of CBM data on the axially short cylinder phantom is performed. Alternating between TOF image reconstruction and CE updates eventually lead to the correct estimation of activity and CE component.
A method of minimizing a patient's exposure to CT scan radiation during the mu-map generation process in a long axial field of view (FOV) PET scan includes performing a long axial FOV PET scan on a patient; performing one or multiple truncated FOV CT scan of a region in the patient's body in which the organs of interest lies; generating a truncated mu-map covering the truncated CT FOV; and generating a mu-map for the whole long axial FOV of the PET scan by extending the truncated mu-map generated from the truncated FOV CT scan by estimating the missing mu-map data using the PET data.
An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.
A computer-implemented method for determining scan parameters includes receiving a set of input parameters. An average single per block for a nuclear imaging scanner having a predetermined field-of-view (FOV) is determined based on the input parameters and at least one scan parameter is determined based on the average single per block for the nuclear imaging scanner.
A method for performing a partial scan of a patient using a PET/CT system includes receiving a selection of a region of interest for scanning and performing a CT scan over a region of interest with the PET/CT system to acquire raw CT data. The raw CT data is reconstructed into one or more CT images. The PET/CT system is configured to limit data collection to the region of interest. A PET scan limited to a region of interest is performed with the PET/CT system to acquire raw PET data. The raw PET data is reconstructed into one or more PET images of the region of interest.
A system for supporting a brachytherapy treatment includes a medical imaging system and a processing unit. The medical imaging system includes a SPECT unit and/or a CT unit. The processing unit is configured to receive a planning dataset, and determine a brachytherapy treatment plan based on the planning dataset. The treatment plan includes a planned dose distribution for a radiation source. The medical imaging system is configured to acquire a supervision dataset that includes an intra-procedural representation of the radiation source that, in an operating state of the system, has been positioned at a treatment site within a treatment region via a medical guide instrument. The processing unit is configured to register the supervision dataset and the planning dataset, determine an actual dose distribution based on the supervision dataset, and provide supervision information based on a comparison between the planned and actual dose distribution.
A framework for generating reasons for imaging studies. An extractor, including a reinforcement learning agent, is trained to select one or more relevant sentences from the training histories of present illness. An abstractor is further pre-trained to generate one or more reasons for study from the one or more relevant sentences. An entity linking system is pre-trained using medical text corpora to map one or more mentions in the one or more reasons for study to one or more standardized medical entities for predicting one or more diagnoses. The reinforcement learning agent may then be re-trained using one or more rewards generated by the entity linking system. One or more reasons for study may be generated from a current history of present illness using the trained extractor, abstractor and entity linking system.
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
A PET imaging system includes a gantry having a patient tunnel and a first detector unit and a second detector unit housed inside the gantry, each including a plurality of detector elements in a helical arrangement around an axial axis of the imaging system. Each of the detector elements in the second detector unit is spaced apart from a corresponding detector element in the first detector unit by an axial gap. Each detector element has an axial position. Each of the first and second detector units has its detector elements arranged so that a set of the detector elements is positioned such that each detector element in the set is offset from an adjacent detector element in the detector unit such that a maximum difference between axial positions of detector elements in each detector unit is less than or equal to the axial gap.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
A system and method include localization of a first frame of positron emission tomography data acquired by an imaging device to a first frame of Cartesian data, generation of a first Cartesian image volume based on the first frame of Cartesian data, display of the first Cartesian image volume, localization of a second frame of positron emission tomography data acquired by the imaging device to a second frame of Cartesian data, generation of a second Cartesian image volume based on the second frame of Cartesian data, and display of the combined Cartesian image volume.
By identifying locations of contrast agent response, an intensity-based metric of contrast agent signal is used to control a duration of microbubble destruction with a medical ultrasound scanner. Feedback from motion of the transducer may be used to indicate when a user perceives enough destruction. A combination of both an intensity-based metric and transducer motion may be used to control the duration of bursting.
For partial volume correction, the partial volume effect is simulated using patient-specific segmentation. An organ or other object of the patient is segmented using anatomical imaging. For simulation, the locations of the patient-specific object or objects are sub-divided, creating artificial boundaries in the object. A test activity is assigned to each sub-division and forward projected. The difference of the forward projected activity to the test activity provides a location-by-location partial volume correction map. This correction map is used in reconstruction from the measured emissions, resulting in more accurate activity estimation with less partial volume effect.
A system and method include association of imaging event data to one of a plurality of bins based on a time associated with the imaging event data, determination that the time periods of a first bin and the time periods of a second bin are adjacent-in-time, determination of whether a spatial characteristic of the imaging event data of the first bin is within a predetermined threshold of the spatial characteristic of the imaging event data of the second bin, and, based on the determination, reconstruction of one or more images based on the imaging event data of the first bin and the second bin.
A framework for continuously monitored remote power shutdown. In accordance with one aspect, a monitoring circuit (107, 207) is coupled to a power removal circuit (101). The monitoring circuit (107, 207) may generate an output signal indicative of circuit integrity based on one or more electrical characteristics of the power removal circuit (101). A notification system (110) may further be coupled to the monitoring circuit (107, 207). The notification system (110) may generate a notification (112) based on the output signal.
A system and method include control of an ultrasound system transducer to acquire an echo signal power spectrum of a region of tissue for a fundamental frequency band and an echo signal power spectrum of the region of tissue for a harmonic frequency band, wherein a center frequency of the harmonic frequency band is substantially similar to a center frequency of the fundamental frequency band, determination of a first backscatter coefficient based on the echo signal power spectrum of the region of tissue for a fundamental frequency band and an echo signal power spectrum of a reference phantom for the fundamental frequency band, determination of a value representing a second backscatter coefficient and a non-linearity term associated with the region of tissue based on the echo signal power spectrum of the region of tissue for the harmonic frequency band and an echo signal power spectrum of the reference phantom for the harmonic frequency band, determination of the non-linearity term associated with the region of tissue based on the first backscatter coefficient and the value, and display the second backscatter coefficient, the non-linearity term, and a B-mode image of the region of tissue.
A61B 8/08 - Détection de mouvements ou de changements organiques, p.ex. tumeurs, kystes, gonflements
G01S 7/52 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
A61B 8/00 - Diagnostic utilisant des ondes ultrasonores, sonores ou infrasonores
91.
INTEGRATED PRECISION MEDICINE BY COMBINING QUANTITATIVE IMAGING TECHNIQUES WITH QUANTITATIVE GENOMICS FOR IMPROVED DECISION MAKING
Disclosed herein is a combined multi-modality biomarker method for identification and treatment of a disease comprising performing quantitative and/or semi-quantitative molecular imaging on a patient; where the semi-quantitative imaging includes a cut-off; measuring a first plurality of parameters from the quantitative and/or semi-quantitative molecular imaging; simultaneously or sequentially performing a liquid biopsy on the patient; measuring a second plurality of quantitative and/or semi-quantitative molecular parameters from the liquid biopsy; developing an algorithm that combines one or more of the first plurality of parameters and one or more of the second plurality of parameters; where the algorithm is operative to identify a disease and/or predict a course of treatment and/or monitoring the patient; and treating the patient with the course of treatment generated by the algorithm.
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 10/40 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données relatives aux analyses de laboratoire, p.ex. pour des analyses d’échantillon de patient
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p.ex. l’édition
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiques; Mesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p.ex. formation d'images par résonance magnétique
Provided is a method of fabricating a detector array that includes preparing a plurality of slabs of an optical medium of an imaging device, forming a plurality of optical boundaries within at least one of the slabs of optical medium, where the plurality of optical boundaries defining a 1×N array of non-contiguous, independent light-redirecting regions within the at least one slab, arranging the plurality of slabs into a stack with a reflective layer defined between each adjacent slab and affixing the positions of the plurality of slabs with respect to each other. A detector array formed using the method is also provided.
G01T 1/20 - Mesure de l'intensité de radiation avec des détecteurs à scintillation
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
93.
SYSTEMS AND METHODS OF THREE-DIMENSIONAL PRINTING OF COLLIMATORS USING ADDITIVE APPROACHES
Systems and methods to manufacture a collimator include deposition of a first layer of material in a first pattern, the first pattern comprising a first plurality of substantially parallel lines oriented in a first direction, and deposition of a second layer of material in a second pattern directly upon the first layer of material, the second pattern comprising a second plurality of substantially parallel lines oriented in a second direction different from the first direction. An area bounded by a first pair of the first plurality of substantially parallel lines and a second pair of the second plurality of substantially parallel lines intersecting the first pair defines a septum of the collimator.
Systems and methods include determination of an entropy value associated with each of a plurality of voxels of a three-dimensional image, determination, for each of the plurality of voxels, of a respective filter based on the entropy value associated with the voxel, wherein a first filter determined for a first voxel associated with a first entropy value is different from a second filter determined for a second voxel associated with a second entropy value different from the first entropy value, application, for each of the plurality of voxels, of the respective filter to a value of the voxel to generate a replacement value for the voxel, and generation of a filtered three-dimensional image based on the generated replacement value of each of the plurality of voxels.
A computer-implemented method for generating a motion corrected image is provided. The method includes receiving listmode data collected by an imaging system; producing two or more histo-image frames or two or more histo-projection frames based on the listmode data; providing the two or more histo-image frames or two or more histo-projection frames to an Artificial Intelligence (AI) system; receiving two or more AI reconstructed images from the AI system based on the two or more histo-image frames or the two or more histo-projection frames; and generating a motion estimation in reconstructed images by using a motion free AI reconstructed image frame as a reference frame.
G01T 1/29 - Mesure effectuée sur des faisceaux de radiations, p.ex. sur la position ou la section du faisceau; Mesure de la distribution spatiale de radiations
96.
Image Reconstruction by Modeling Image Formation as One or More Neural Networks
Systems and methods for image reconstruction based on modeling image formation as one or more neural networks. In accordance with one aspect, one or more neural networks are configured based on physics of image formation (202). The one or more neural networks are optimized using acquired test image data (204). An output image may then be reconstructed by applying current image data as input to the one or more optimized neural networks (208).
A system to generate images based on imaging data of a portion of a body and physiological event data associated with a physiological process of the body. The system is to identify a plurality of physiological cycles based on the physiological event data, determine a duration of each of the plurality of physiological cycles, determine a representative duration based on the durations of each of the plurality of physiological cycles, identify a first plurality of the plurality of physiological cycles based on a difference between the durations of the first plurality of physiological cycles and the representative duration, identify a second plurality of the plurality of physiological cycles different from the first plurality of the plurality of physiological cycles, determine a predetermined number of portions of each of the second plurality of the plurality of physiological cycles, accumulate imaging data acquired during respective portions of each of the second plurality of the plurality of physiological cycles to determine a set of accumulated imaging data for each of the predetermined number of portions, and generate a plurality of images, each of the plurality of images being generated based on a respective one of the sets of accumulated imaging data.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p.ex. DICOM, HL7 ou PACS
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p.ex. basé sur des systèmes experts médicaux
Systems and methods include control of a nuclear imaging scanner to acquire nuclear imaging scan data of a body, control of a computed tomography scanner to acquire computed tomography scan data of the body, determination of a scanning speed, of the nuclear imaging scanner, associated with each of a plurality of scanning coordinates based on locations of one or more internal volumes associated with radioactivity greater than a threshold level, a classification determined for each of the one or more of the internal volumes indicating a degree of clinical interest based at least in part on the radioactivity associated with the internal volume, and an attenuation coefficient map based on the computed tomography scan data, and control of the nuclear imaging scanner to scan the body over each of the scanning coordinates at the associated scanning speed.
G06T 7/37 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés de transformation de domaine
For ultrasound-based proxy estimation with an ultrasound scanner, one or more ultrasound measurements are converted to a biomarker of a different modality, such as providing a measurement of a standard biomarker from histology or a lab test assay. The conversion uses a user-selected model, allowing for selection of one of various models relating ultrasound measurements to the biomarker. The ultrasound scan sequence may be optimized to the one or more biomarkers and the user-selected model. This improvement in use of ultrasound measurements relative to standard biomarkers may more likely result in acceptance of the less costly and more easily obtained ultrasound measures in diagnosis.
For ultrasound imaging using a matrix transducer, interconnects or switches are provided to allow sub-arrays forming a 1D array, such as with sub-arrays one element wide with the maximum number of elements in elevation. Where groups are used to limit the switches and available system channels per group, an extra switch may connect between elements of different groups through a group output to extend a sub-array across groups. To further limit the number of switches, the group may be sub-divided where different combinations of sub-groups are connectable with different combinations of the system channels for the group.
G01S 15/89 - Systèmes sonar, spécialement adaptés à des applications spécifiques pour la cartographie ou la représentation
G01S 7/52 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
brevets
