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    Methods and systems for an adaptive contrast scan
    1.
    发明授权
    Methods and systems for an adaptive contrast scan 有权

    公开(公告)号：US11963815B2

    公开(公告)日：2024-04-23

    申请号：US17010674

    申请日：2020-09-02

    Applicant: GE Precision Healthcare LLC

    Inventor： Michael Sarju Vaz ,  Maud Bonnard

    IPC: A61B6/00 ,  A61B6/50 ,  G06N20/00

    CPC classification number: A61B6/545 ,  A61B6/481 ,  A61B6/507 ,  A61B6/5217 ,  G06N20/00

    Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method for an imaging system includes performing, with the imaging system, a first contrast scan of a subject including injection of a contrast agent to the subject; processing projection data of the subject acquired during the first contrast scan to measure a contrast signal of the subject at a monitoring area; estimating a target acquisition timing for a first acquisition of a second contrast scan of the subject based on the contrast signal; and performing, with the imaging system, the second contrast scan of the subject, with the first acquisition performed at the target acquisition timing and without performing any monitoring scans between the first contrast scan and the second contrast scan.

    Deep learning multi-planar reformatting of medical images
    3.
    发明授权
    Deep learning multi-planar reformatting of medical images 有权

    公开(公告)号：US12272023B2

    公开(公告)日：2025-04-08

    申请号：US17654864

    申请日：2022-03-15

    Applicant: GE Precision Healthcare LLC

    Inventor： Bipul Das ,  Rakesh Mullick ,  Deepa Anand ,  Sandeep Dutta ,  Uday Damodar Patil ,  Maud Bonnard

    IPC: G06T3/60 ,  G06T7/73 ,  G06V10/774 ,  G06V10/82 ,  G16H50/20

    Abstract: Systems/techniques that facilitate deep learning multi-planar reformatting of medical images are provided. In various embodiments, a system can access a three-dimensional medical image. In various aspects, the system can localize, via execution of a machine learning model, a set of landmarks depicted in the three-dimensional medical image, a set of principal anatomical planes depicted in the three-dimensional medical image, and a set of organs depicted in the three-dimensional medical image. In various instances, the system can determine an anatomical orientation exhibited by the three-dimensional medical image, based on the set of landmarks, the set of principal anatomical planes, or the set of organs. In various cases, the system can rotate the three-dimensional medical image, such that the anatomical orientation now matches a predetermined anatomical orientation.

    SYSTEM AND METHODS FOR AUTOMATIC IMAGE ALIGNMENT OF THREE-DIMENSIONAL IMAGE VOLUMES
    5.
    发明申请
    SYSTEM AND METHODS FOR AUTOMATIC IMAGE ALIGNMENT OF THREE-DIMENSIONAL IMAGE VOLUMES 有权

    公开(公告)号：US20250069218A1

    公开(公告)日：2025-02-27

    申请号：US18453954

    申请日：2023-08-22

    Applicant: GE Precision Healthcare LLC

    Inventor： Deepa Anand ,  Bipul Das ,  Vanika Singhal ,  Rakesh Mullick ,  Sandeep Dutta ,  Amy L Deubig ,  Maud Bonnard ,  Christine Smith

    IPC: G06T7/00 ,  G06T7/60 ,  G06T15/00 ,  G06V10/24 ,  G06V10/44

    Abstract: The current disclosure provides systems and methods for automatic image alignment of three-dimensional (3D) medical image volumes. The method includes pre-processing the 3D medical image volume by selecting a sub-volume of interest, detecting anatomical landmarks in the sub-volume using a deep neural network, estimating transformation parameters based on the anatomical landmarks to adjust rotation angles and translation of the sub-volume, adjusting the rotation angles and translation to produce a first aligned sub-volume, determining confidence in the transformation parameters based on the first aligned sub-volume, and iteratively refining the transformation parameters if the confidence is below a predetermined threshold. The disclosed approach for automated image alignment reduces the need for manual alignment and, increases a probability of the 3D image volume converging to a desired orientation compared to conventional approaches.

    AUTOMATICALLY DETECTING CHARACTERISTICS OF A MEDICAL IMAGE SERIES
    8.
    发明申请
    AUTOMATICALLY DETECTING CHARACTERISTICS OF A MEDICAL IMAGE SERIES 有权

    公开(公告)号：US20230056923A1

    公开(公告)日：2023-02-23

    申请号：US17407516

    申请日：2021-08-20

    Applicant: GE Precision Healthcare LLC

    Inventor： Jiang Hsieh ,  Maud Bonnard ,  Sandeep Dutta

    IPC: G16H30/40 ,  G16H30/20 ,  G16H40/20

    Abstract: Techniques are described for automatically detecting scan characteristics of a medical image series. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise an image generation component that generates a representative image of a medical image series comprising a plurality of scan images, and a series characterization component that processes the representative image using one or more characteristic detection algorithms to determine one or more characteristics of the medical image series. The system can further tailor the visualization layout for viewing the medical image series based on the one or more characteristics and/or automatically perform various workflow tasks based on the one or more characteristics.

    METHODS AND SYSTEMS FOR AN ADAPTIVE CONTRAST SCAN
    9.
    发明申请
    METHODS AND SYSTEMS FOR AN ADAPTIVE CONTRAST SCAN 有权

    公开(公告)号：US20220061793A1

    公开(公告)日：2022-03-03

    申请号：US17010674

    申请日：2020-09-02

    Applicant: GE Precision Healthcare LLC

    Inventor： Michael Sarju Vaz ,  Maud Bonnard

    IPC: A61B6/00 ,  G06N20/00

    Abstract: Methods and systems are provided for adaptive scan control. In one embodiment, a method for an imaging system includes performing, with the imaging system, a first contrast scan of a subject including injection of a contrast agent to the subject; processing projection data of the subject acquired during the first contrast scan to measure a contrast signal of the subject at a monitoring area; estimating a target acquisition timing for a first acquisition of a second contrast scan of the subject based on the contrast signal; and performing, with the imaging system, the second contrast scan of the subject, with the first acquisition performed at the target acquisition timing and without performing any monitoring scans between the first contrast scan and the second contrast scan.

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