公开(公告)号：US20210327063A1

公开(公告)日：2021-10-21

申请号：US17360651

申请日：2021-06-28

Applicant: GE Precision Healthcare LLC

Inventor： Raghu Prasad ,  Jignesh Dholakia ,  Kavitha Manickam

IPC: G06T7/00 ,  G06T7/33 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06N3/08 ,  G06N3/04

Abstract: Methods and systems are provided for whole-body spine labeling. In one embodiment, a method comprises acquiring a non-functional image volume of a spine, acquiring a functional image volume of the spine, determining at least one spine label seed point on a non-functional image volume, automatically labeling the non-functional image volume with a plurality of spine labels based on the at least one spine label seed point, automatically correcting the geometric misalignments and registering the functional image volume, adjusting the plurality of spine labels and propagating the adjusted spine labels to the functional image volume. In this way, the anatomical details of non-functional imaging volumes may be leveraged to improve clinical diagnoses based on functional imaging, such as diffusion weighted imaging (DWI).

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

IPC: A61B5/055 ,  G01R33/58

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.

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

IPC: A61B5/055 ,  G01R33/20

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.

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.

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

IPC: G01R33/28 ,  G01R33/54

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.

公开(公告)号：US11475565B2

公开(公告)日：2022-10-18

申请号：US17360651

申请日：2021-06-28

Applicant: GE Precision Healthcare LLC

Inventor： Raghu Prasad ,  Jignesh Dholakia ,  Kavitha Manickam

IPC: G06N3/08 ,  G06T7/00 ,  G06T7/33 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06N3/04

Abstract: Methods and systems are provided for whole-body spine labeling. In one embodiment, a method comprises acquiring a non-functional image volume of a spine, acquiring a functional image volume of the spine, determining at least one spine label seed point on a non-functional image volume, automatically labeling the non-functional image volume with a plurality of spine labels based on the at least one spine label seed point, automatically correcting the geometric misalignments and registering the functional image volume, adjusting the plurality of spine labels and propagating the adjusted spine labels to the functional image volume. In this way, the anatomical details of non-functional imaging volumes may be leveraged to improve clinical diagnoses based on functional imaging, such as diffusion weighted imaging (DWI).

公开(公告)号：US20240280654A1

公开(公告)日：2024-08-22

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

IPC: G01R33/28 ,  G01R33/54

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.

公开(公告)号：US12048521B2

公开(公告)日：2024-07-30

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

IPC: A61B5/055 ,  G01R33/20 ,  G01R33/56

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.

公开(公告)号：US10796181B2

公开(公告)日：2020-10-06

申请号：US16134219

申请日：2018-09-18

Applicant: GE Precision Healthcare LLC

Inventor： Kavitha Manickam ,  Ramesh Venkatesan ,  Rakesh Shevde ,  Rajagopalan Sundaresan ,  Prakruthi Jakathe ,  Vignesh Singh ,  Krishnan Varadarajan

IPC: G06K9/00 ,  G06K9/03 ,  G06N3/08 ,  G06N5/04 ,  G06T7/00

Abstract: Methods and systems for addressing malfunction of a medical imaging device are disclosed. The method includes classifying a type of an image artifact in a medical image acquired by the medical imaging device by using a trained machine learning model. The method also includes analyzing system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact and providing an action for addressing the image artifact based on the identified one or more system parameters.

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.