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    FLOW ANALYSIS IN 4D MR IMAGE DATA
    3.
    发明公开
    FLOW ANALYSIS IN 4D MR IMAGE DATA 审中-公开

    公开(公告)号：US20240346652A1

    公开(公告)日：2024-10-17

    申请号：US18754036

    申请日：2024-06-25

    Applicant: Pie Medical Imaging B.V.

    Inventor： Jean-Paul Aben ,  Leon Ledoux ,  Marc Maussen

    IPC: G06T7/00 ,  A61B5/00 ,  A61B5/026 ,  A61B5/0285 ,  G06N20/00 ,  G06T7/33 ,  G06T7/73 ,  G06T15/08 ,  G16H30/40 ,  G16H50/50

    CPC classification number: G06T7/0012 ,  A61B5/0263 ,  A61B5/0285 ,  A61B5/7246 ,  G06N20/00 ,  G06T7/344 ,  G06T7/73 ,  G06T15/08 ,  G16H30/40 ,  G16H50/50 ,  G06T2207/10096 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06T2210/41

    Abstract: A method for performing flow analysis in a target volume of a moving organ having a long axis, such as the heart, from 4D MR Flow volumetric image data set of such organ, wherein such data set comprises structural information and three-directional velocity information of the target volume over time, the devices, program products and methods comprising, under control of one or more computer systems configured with specific executable instructions: a) deriving from the 4D MR Flow volumetric image data set at least one derived image data set related to the long axis of the moving organ, for example, by using a multi planar reconstruction: b) determining at least one feature of interest in the 4D MR Flow volumetric image data set or in said derived image data set. The feature of interest may be determined, for example, by receiving input from a user or by performing automatic detection steps on the 4D MR Flow volumetric image data set; c) tracking the feature of interest within the 4D MR Flow volumetric image data set or in the derived image data set; d) determining the spatial orientation over time of a plane containing the feature of interest in the 4D MR Flow volumetric image data set; c) performing quantitative flow analysis using velocity information on the plane as determined in step d). A corresponding device and computer program are also disclosed.

    MOTION ESTIMATION WITH ANATOMICAL INTEGRITY
    6.
    发明公开
    MOTION ESTIMATION WITH ANATOMICAL INTEGRITY 审中-公开

    公开(公告)号：US20240303832A1

    公开(公告)日：2024-09-12

    申请号：US18119435

    申请日：2023-03-09

    Applicant: Shanghai United Imaging Intelligence Co., Ltd.

    Inventor： Xiao Chen ,  Kun Han ,  Zhang Chen ,  Yikang Liu ,  Shanhui Sun ,  Terrence Chen

    IPC: G06T7/246 ,  G06T7/215

    CPC classification number: G06T7/251 ,  G06T7/215 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048

    Abstract: The motion estimation of an anatomical structure may be performed using a machine-learned (ML) model trained based on medical training images of the anatomical structure and corresponding segmentation masks for the anatomical structure. During the training of the ML model, the model may be used to predict a motion field that may indicate a change between a first training image and a second training image, and to transform the first training image and a corresponding first segmentation mask based on the motion field. The parameters of the ML model may then be adjusted to maintain a correspondence between the transformed first training image and the second training image and between the transformed first segmentation mask or a second segmentation mask associated with the second training image. The correspondence may be assessed based on at least a boundary region shared by the anatomical structure and one or more other anatomical structures.

    SYSTEMS AND METHODS FOR CARDIAC MOTION TRACKING AND ANALYSIS
    9.
    发明公开
    SYSTEMS AND METHODS FOR CARDIAC MOTION TRACKING AND ANALYSIS 审中-公开

    公开(公告)号：US20240296552A1

    公开(公告)日：2024-09-05

    申请号：US18117068

    申请日：2023-03-03

    Applicant: Shanghai United Imaging Intelligence Co., Ltd.

    Inventor： Xiao Chen ,  Shanhui Sun ,  Zhang Chen ,  Yikang Liu ,  Arun Innanje ,  Terrence Chen

    IPC: G06T7/00 ,  G06T7/10 ,  G16H30/40

    CPC classification number: G06T7/0012 ,  G06T7/10 ,  G16H30/40 ,  G06T2207/30048

    Abstract: Disclosed herein are systems, methods, and instrumentalities associated with cardiac motion tracking and/or analysis. In accordance with embodiments of the disclosure, the motion of a heart such as an anatomical component of the heart may be tracked through multiple medical images and a contour of the anatomical component may be outlined in the medical images and presented to a user. The user may adjust the contour in one or more of the medical images and the adjustment may trigger modifications of motion field(s) associated with the one or more medical images, re-tracking of the contour in the one or more medical images, and/or re-determination of a physiological characteristic (e.g., a myocardial strain) of the heart. The adjustment may be made selectively, for example, to a specific medical image or one or more additional medical images selected by the user, without triggering a modification of all of the medical images.

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