Processing a Medical Image
    2.
    发明申请

    公开(公告)号:US20200160515A1

    公开(公告)日:2020-05-21

    申请号:US16678046

    申请日:2019-11-08

    IPC分类号: G06T7/00 G06T7/73 A61B5/00

    摘要: For processing a medical image, medical image data representing a medical image of at least a portion of a vertebral column is received. The medical image data is processed to determine a plurality of positions within the image. Each of the plurality of positions corresponds to a position relating to a vertebral bone within the vertebral column. Data representing the plurality of positions is processed to determine a degree of deformity of at least one vertebral bone within the vertebral column.

    Method and device for automatic determination of the change of a hollow organ

    公开(公告)号:US11538154B2

    公开(公告)日:2022-12-27

    申请号:US17012281

    申请日:2020-09-04

    IPC分类号: G06T7/00 G06T7/11 G06T7/33

    摘要: A method and device are for automatic determination of the change of a hollow organ. The method includes providing a first medical image of the organ recorded at a first time; computing a first representation of the organ in the first image; computing a first reference-line of the organ based on the first representation and providing a second medical image of the organ recorded at a second point. The method further includes computing a second representation of the organ in the second image; computing a second reference-line of the organ based on the second representation of the organ; registering of the first and second reference-line to obtain at least one of matched representations of the organ and features derived from the matched representations of the organs; and comparing at least one of the matched representations of the organs and the features derived from the matched representations of the organ.

    AI-BASED IMAGE ANALYSIS FOR THE DETECTION OF NORMAL IMAGES

    公开(公告)号:US20210383174A1

    公开(公告)日:2021-12-09

    申请号:US17237160

    申请日:2021-04-22

    摘要: A system and method for identifying abnormal medical images. The system can be configured to receive a medical image, segment an anatomical structure from the medical image to define a segmented dataset, register the segmented dataset to a baseline dataset defining a normal anatomical structure, classify, by an abnormality classifier, whether the anatomical structure within the medical image as either abnormal or normal, wherein the abnormality classifier comprises a machine learning algorithm trained to distinguish between normal and abnormal versions of the anatomical structure in medical images, and based on whether the anatomical structure can be segmented from the medical image, whether the segmented dataset can be registered to the baseline dataset, or a classification associated with the medical image output by the abnormality classifier, flagging the medical image as either normal or abnormal.