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1. 发明申请

WO2009138202A1 METHOD AND SYSTEM FOR LESION SEGMENTATION 审中-公开
标题翻译： LESION分类方法与系统
公开(公告)号：WO2009138202A1
公开(公告)日：2009-11-19
申请号：PCT/EP2009/003326
申请日：2009-05-12
申请人： IBBT VZW , TOSHIBA MEDICAL VISUALIZATION SYSTEMS EUROPE, LIMITED , AGFA HEALTHCARE NV , VRIJE UNIVERSTEIT BRUSSEL , MARKOVA Aneta , DEKLERCK, Rudi , DE MEY, Johan , CLERINX, Peter , POOLE, Ian , DEWAELE, Piet
发明人： MARKOVA Aneta , DEKLERCK, Rudi , DE MEY, Johan , CLERINX, Peter , POOLE, Ian , DEWAELE, Piet
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 multi-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 cluster of set of clusters of said plurality of clusters.
摘要翻译：本发明涉及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/或器官的多阶段登记的体积图像数据， - 应用分层所述分割产生多相排列的体积图像的多个n维体素向量的聚类， - 从所述多个群集中确定群集或描绘身体和/或器官的组的集合， - 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于对应于身体区域和/或器官的精细/填充连接区域，以获得更准确的分割， - 获取关于cl中存在病变的信息所述多个簇的集合的集合。

2. 发明公开

EP2297698A1 METHOD AND SYSTEM FOR LESION SEGMENTATION 审中-公开
标题翻译： VERFAHREN UND SYSTEM ZURLÄSIONSSEGMENTIERUNG
公开(公告)号：EP2297698A1
公开(公告)日：2011-03-23
申请号：EP09745536.4
申请日：2009-05-12
申请人： IBBT vzw , Toshiba Medical Visualization Systems Europe, Limited , Agfa HealthCare NV , Vrije Universiteit Brussel
发明人： MARKOVA Aneta , DEKLERCK, Rudi , DE MEY, Johan , CLERINX, Peter , POOLE, Ian , DEWAELE, Piet
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 multi-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 cluster of 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。

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