公开(公告)号：EP2120208A1

公开(公告)日：2009-11-18

申请号：EP08008791.9

申请日：2008-05-13

申请人： IBBT vzw ,  Barco NV ,  Agfa HealthCare NV ,  VRIJE UNIVERSITEIT BRUSSEL

发明人： Deklerck, Rudi ,  Markova, Aneta ,  De Mey, Johan ,  Clerinx, Peter ,  Poole, Ian ,  Dewaele, Piet ,  Temmermans, Frederik

IPC分类号： G06T7/00

CPC分类号： G06T7/0012 ,  G06T3/0081 ,  G06T7/41 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/20036 ,  G06T2207/20096 ,  G06T2207/30004 ,  G06T2207/30056

摘要： 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.

摘要翻译： 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。