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公开(公告)号：US20240215848A1
公开(公告)日：2024-07-04
申请号：US18090131
申请日：2022-12-28
Applicant: GE Precision Healthcare LLC
Inventor： Florian Wiesinger , Dattesh Dayanand Shanbhag , Kavitha Manickam , Harsh Kumar Agarwal , Dawei Gui , Chitresh Bhushan
CPC classification number: A61B5/055 , G01R33/58 , G01R33/543
Abstract: A method for performing a scan of a subject utilizing a magnetic resonance imaging (MRI) system includes triggering a prescan by an MRI scanner of the MRI system upon the subject being setup on a table of the MRI scanner and the table reaching an iso-center of the MRI scanner. The method includes subsequent to the prescan, triggering a calibration scan of the subject with the MRI scanner, wherein the calibration scan is an acoustic noise suppressed MRI scan. The method includes obtaining calibration data from the calibration scan. The method includes obtaining prescription parameters for subsequent scans of the subject with the MRI scanner from the calibration data. The method includes triggering at least one scan of the subject with the MRI scanner based on the prescription parameters.
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公开(公告)号：US20240138697A1
公开(公告)日：2024-05-02
申请号：US17973855
申请日：2022-10-26
Applicant: GE Precision Healthcare LLC
Inventor： Dattesh Dayanand Shanbhag , Chitresh Bhushan , Deepa Anand , Kavitha Manickam , Dawei Gui , Radhika Madhavan
CPC classification number: A61B5/055 , G01R33/20 , G01R33/5608
Abstract: A method for generating an image of a subject with a magnetic resonance imaging (MRI) system is presented. The method includes first performing a localizer scan of the subject to acquire localizer scan data. A machine learning (ML) module is then used to detect the presence of metal regions in the localizer scan data based on magnitude and phase information of the localizer scan data. Based on the detected metal regions in the localizer scan data, the MRI workflow is adjusted for diagnostic scan of the subject. The image of the subject is then generated using the adjusted workflow.
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公开(公告)号：US11009578B2
公开(公告)日：2021-05-18
申请号：US16514906
申请日：2019-07-17
Applicant: GE Precision Healthcare LLC
Inventor： Dawei Gui , Xiaoli Zhao , Ling Sun , Haonan Wang , Wei Sun
Abstract: Methods and systems are provided for predicting B1+ field maps from magnetic resonance calibration images using deep neural networks. In an exemplary embodiment a method for magnetic resonance imaging comprises, acquiring a magnetic resonance (MR) calibration image of an anatomical region, mapping the MR calibration image to a transmit field map (B1+ field map) with a trained deep neural network, acquiring a diagnostic MR image of the anatomical region, and correcting inhomogeneities of a transmit field in the diagnostic MR image with the B1+ field map. Further, methods and systems are provided for collecting and processing training data, as well as utilizing the training data to train a deep learning network to predict B1+ field maps from MR calibration images.
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公开(公告)号：US20250104270A1
公开(公告)日：2025-03-27
申请号：US18475406
申请日：2023-09-27
Applicant: GE Precision Healthcare LLC
Inventor： Deepa Anand , Dattesh Dayanand Shanbhag , Chitresh Bhushan , Dawei Gui , Kavitha Manickam , Maggie MeiKei Fung , Gurunath Reddy Madhumani
IPC: G06T7/73 , G06T7/00 , G06V10/25 , G06V10/26 , G06V10/44 , G06V10/762 , G06V10/774 , G06V20/70
Abstract: A method for performing one-shot anatomy localization includes obtaining a medical image of a subject. The method includes receiving a selection of both a template image and a region of interest within the template image, wherein the template image includes one or more anatomical landmarks assigned a respective anatomical label. The method includes inputting both the medical image and the template image into a trained vision transformer model. The method includes outputting from the trained vision transformer model both patch level features and image level features for both the medical image and the template image. The method still further includes interpolating pixel level features from the patch level features for both the medical image and the template image. The method includes utilizing the pixel level features within the region of interest of the template image to locate and label corresponding pixel level features in the medical image.
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公开(公告)号：US12078697B1
公开(公告)日：2024-09-03
申请号：US18111147
申请日：2023-02-17
Applicant: GE Precision Healthcare LLC
Inventor： Kavitha Manickam , Dattesh Dayanand Shanbhag , Dawei Gui , Chitresh Bhushan
CPC classification number: G01R33/288 , G01R33/546
Abstract: A computer-implemented method for performing a scan of a subject utilizing a magnetic resonance imaging (MRI) system includes initiating, via a processor, a prescan of the subject by an MRI scanner of the MRI system without a priori knowledge as to whether the subject has a metal implant. The computer-implemented method also includes executing, via the processor, a metal detection algorithm during a prescan entry point of the prescan to detect whether the metal implant is present in the subject. The computer-implemented method further includes determining, via the processor, to proceed with a calibration scan and the scan utilizing predetermined scan parameters when no metal implant is detected in the subject. The computer-implemented method even further includes switching, via the processor, into a metal implant scan mode when one or more metal implants are detected in the subject.
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Patent Agency Ranking
公开(公告)号：US11163029B2
公开(公告)日：2021-11-02
申请号：US16540804
申请日：2019-08-14
Applicant: GE Precision Healthcare LLC
Inventor： Vijay Shivalingappa Nimbargi , Dawei Gui , Liewei Sha , Surrendra K. Markandaya , Ty A. Cashen
IPC: G01R33/567
Abstract: A method of controlling magnetic resonance (MR) image data acquisition includes generating a plurality of one-dimensional (1D) navigator profiles reflecting motion of an anatomic boundary region of an imaging subject over time at a measurement interval, and then generating a plurality of navigator image segments each for a corresponding 1D navigator profile of the plurality of 1D navigator profiles. A navigator image is then generated based on the plurality of navigator image segments, and a determination is made whether to acquire MR image data based on the navigator image.
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公开(公告)号：US20250131570A1
公开(公告)日：2025-04-24
申请号：US18491985
申请日：2023-10-23
Applicant: GE Precision Healthcare LLC
Inventor： Muhan Shao , Chitresh Bhushan , Dattesh Dayanand Shanbhag , Kavitha Manickam , Dawei Gui
IPC: G06T7/11 , A61B5/055 , G01R33/48 , G01R33/56 , G01R33/58 , G06T7/73 , G06V10/82 , G06V20/50 , G06V20/70 , G16H30/40
Abstract: A method and a system include obtaining calibration scan data or low resolution images of a subject acquired with a magnetic resonance (MR) scanner of an MR imaging system. The method and the system also include inputting the calibration data or the low resolution images into a trained deep learning-based multi-mask segmentation network. The method and the system further include outputting labeled mask images for different anatomical stations, wherein a respective mask of a respective labeled mask image highlights an anatomical landmark of interest in each respective anatomical station of the different anatomical stations. The method and the system even further include determining an extent of a respective anatomical landmark of interest in each respective anatomical station of the different anatomical stations for a respective localizer scan for each respective anatomical station based at least on a respective label mask image for each respective anatomical station.
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公开(公告)号：US20250114008A1
公开(公告)日：2025-04-10
申请号：US18483757
申请日：2023-10-10
Applicant: GE Precision Healthcare LLC
Inventor： Dattesh Dayanand Shanbhag , Kavitha Manickam , Dawei Gui , Maggie MeiKei Fung , Ting Ye , Chitresh Bhushan , Muhan Shao
Abstract: A method for performing a scan of a subject includes receiving a selected protocol for the scan and triggering, upon receiving a start signal, automatic landmarking of the subject on a table of a magnetic resonance imaging (MRI) scanner utilizing a three-dimensional (3D) camera. The method includes obtaining landmark positioning data from the 3D camera and utilizing the landmark positioning data for localization of the region of interest. The method includes, subsequent to the automatic landmarking, triggering a calibration scan of the subject with the MRI scanner and obtaining calibration data from the MRI scanner and utilizing the calibration data for refining the localization of the region of interest. The method includes generating a geometry plan for subsequent scans utilizing both the landmark positioning data and the calibration data and triggering at least one subsequent scan of the subject with the MRI scanner based on the geometry plan.
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公开(公告)号：US20210177295A1
公开(公告)日：2021-06-17
申请号：US16711120
申请日：2019-12-11
Applicant: GE Precision Healthcare LLC
Inventor： André de Almeida Maximo , Dattesh Dayanand Shanbhag , Chitresh Bhushan , Dawei Gui
Abstract: Methods and systems are provided for determining diagnostic-scan parameters for a magnetic resonance (MR) diagnostic-scan, from MR calibration images, enabling acquisition of high-resolution diagnostic images of one or more anatomical regions of interest, while bypassing acquisition of localizer images, increasing a speed and efficiency of MR diagnostic-scanning. In one embodiment, a method for a magnetic resonance imaging (MRI) system comprises, acquiring a magnetic resonance (MR) calibration image of an imaging subject, mapping the MR calibration image to a landmark map using a trained deep neural network, determining one or more diagnostic-scan parameters based on the landmark map, acquiring an MR diagnostic image according to the diagnostic-scan parameters, and displaying the MR diagnostic image via a display device.
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公开(公告)号：US20210048497A1
公开(公告)日：2021-02-18
申请号：US16540804
申请日：2019-08-14
Applicant: GE Precision Healthcare LLC
Inventor： Vijay Shivalingappa Nimbargi , Dawei Gui , Liewei Sha , Surrendra K. Markandaya , Ty A. Cashen
IPC: G01R33/567
Abstract: A method of controlling magnetic resonance (MR) image data acquisition includes generating a plurality of one-dimensional (1D) navigator profiles reflecting motion of an anatomic boundary region of an imaging subject over time at a measurement interval, and then generating a plurality of navigator image segments each for a corresponding 1D navigator profile of the plurality of 1D navigator profiles. A navigator image is then generated based on the plurality of navigator image segments, and a determination is made whether to acquire MR image data based on the navigator image.
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