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    • 7. 发明公开
    • Method and system for lesion segmentation
    • Verfahren und System zurLäsionssegmentierung
    • EP2120208A1
    • 2009-11-18
    • EP08008791.9
    • 2008-05-13
    • IBBT vzwBarco NVAgfa HealthCare NVVRIJE UNIVERSITEIT BRUSSEL
    • Deklerck, RudiMarkova, AnetaDe Mey, JohanClerinx, PeterPoole, IanDewaele, PietTemmermans, Frederik
    • G06T7/00
    • G06T7/0012G06T3/0081G06T7/41G06T2200/24G06T2207/10072G06T2207/20036G06T2207/20096G06T2207/30004G06T2207/30056
    • The present invention is related to a method and system for acquiring information on lesions in dynamic 3D medical images of a body region and/or organ. The method comprises the steps of :
      - applying a registration technique to align a plurality of volumetric image data of the body region and/or organ, yielding multi-phase registered volumetric image data of the body region and/or organ,
      - applying a hierarchical segmentation on the multi-phase registered volumetric image data of the body region and/or organ, said segmentation yielding a plurality of clusters of n-dimensional voxel vectors of the muiti-phase aligned volumetric image,
      - determining from the plurality of clusters a cluster or set of clusters delineating the body and/or organ,
      - identifying the connected region(s) of voxel vectors belonging to the body region and/or organ,
      - refine/fill the connected region(s) corresponding to the body region and/or organ
      - reapplying the segmentation step to the refined/filled connected region(s) corresponding to the body region and/or organ, to obtain a more accurate segmentation,
      - acquiring information on the presence of lesions in a cluster or set of clusters of said plurality of clusters.
    • 本发明涉及一种用于获取关于身体区域和/或器官的动态3D医学图像中的病变的信息的方法和系统。 该方法包括以下步骤: - 应用注册技术来对准身体区域和/或器官的多个体积图像数据,产生身体区域和/或器官的多相登记的体积图像数据, - 应用分层 对身体区域和/或器官的多相登记的体积图像数据进行分割,所述分割产生多个相互排列的体积图像的多个n维体素向量群集, - 从多个群集中确定簇 或组合描绘身体和/或器官的集合, - 识别属于身体区域和/或器官的体素载体的连接区域, - 细化/填充对应于身体区域的连接区域和/ 或器官 - 将分割步骤重新应用到对应于身体区域和/或器官的精细/填充的连接区域,以获得更准确的分割, - 获取关于病变的存在的信息 所述多个簇的簇或簇的集合。