SPECTRAL MATCHING FOR ASSESSING IMAGE SEGMENTATION

    公开(公告)号:EP3514757A1

    公开(公告)日:2019-07-24

    申请号:EP18152312.7

    申请日:2018-01-18

    IPC分类号: G06T7/00 G06T7/10

    摘要: The invention relates to a medical image data processing system (101) for image segmentation. The medical image data processing system (101) comprises a processor (130) for controlling the medical image data processing system (101), wherein execution of the machine executable instructions by the processor (130) causes the processor (130) to control the image data processing system (101) to:
    - receive medical image data (140),
    - generate a segmentation of an anatomical structure of interest comprised by the medical image data (140),
    - convert the segmentation to a surface mesh representation of the anatomical structure of interest,
    - compare the surface mesh representation with the reference surface mesh representation of the anatomical reference structure using spectral matching, wherein one or more spectral embeddings of the two meshes are matched,
    - providing an area of topological mismatch of the surface mesh representation with the reference surface mesh representation.

    APPARATUS FOR IDENTIFYING REGIONS IN A BRAIN IMAGE

    公开(公告)号:EP3657435A1

    公开(公告)日:2020-05-27

    申请号:EP18208216.4

    申请日:2018-11-26

    IPC分类号: G06T7/00

    摘要: The invention relates to a regions identifying apparatus (1) for identifying regions in an image like a computed tomography image showing a brain. A model providing unit (6) provides a three-dimensional model of a head of a living being, wherein the three-dimensional model includes Alberta Stroke Program Early CT Score (ASPECTS) regions of a brain, and a regions identifying unit (7) identifies ASPECTS regions in the three-dimensional image by applying the three-dimensional model to the three-dimensional image. This allows for an accurate, automatic identification of the ASPECTS regions independently of the orientation of the head in an imaging system, independently of an image slice thickness and also independently of a respective user like a physician. This leads to an improved accuracy of determining the ASPECTS regions which allows for an improved quantification of ischemic changes in the brain after stroke. This in turn also allows for an improved treatment recommendation.