公开(公告)号：US07379572B2

公开(公告)日：2008-05-27

申请号：US10270674

申请日：2002-10-16

申请人： Hiroyuki Yoshida ,  Abraham Dachman ,  Janne Nappi ,  Peter Maceneaney ,  David Rubin ,  Yoshitaka Masutani ,  Li Lan

发明人： Hiroyuki Yoshida ,  Abraham Dachman ,  Janne Nappi ,  Peter Maceneaney ,  David Rubin ,  Yoshitaka Masutani ,  Li Lan

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T7/41 ,  G06T2207/10081 ,  G06T2207/30032

摘要： A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.

摘要翻译： 一种用于识别包围目标器官的内表面，外表面和中间组织的体积区域内的至少一个三维延伸的病变的方法，系统和计算机程序产品。 该方法包括：（1）从目标器官的一组横截面图像生成代表总扫描体积的一组体素; （2）执行分割以从表示总扫描体积的体素组提取表示体积区域的一组体素; （3）基于代表体积区域的体素集合中的每个体素的几何特征值来检测候选病变组; 以及（4）基于所述候选病变组中的每个病变的体积，形态和纹理特征值中的至少一个，从所述候选病变组中选择所述至少一个三维延伸的病变。

公开(公告)号：US20050152588A1

公开(公告)日：2005-07-14

申请号：US10974699

申请日：2004-10-28

申请人： Hiroyuki Yoshida ,  Janne Nappi ,  Hans Frimmel ,  Abraham Dachman

发明人： Hiroyuki Yoshida ,  Janne Nappi ,  Hans Frimmel ,  Abraham Dachman

IPC分类号： A61B5/05 ,  G06K9/00 ,  G06K9/46 ,  G06K9/66 ,  G06T7/00 ,  G06T11/00

CPC分类号： G06T7/0012 ,  G06T15/08 ,  G06T19/20 ,  G06T2207/10081 ,  G06T2207/30028 ,  G06T2207/30068 ,  G06T2219/2012

摘要： A visualization method and system for virtual endoscopic examination of CT colonographic data by use of shape-scale analysis. The method provides each colonic structure of interest with a unique color, thereby facilitating rapid diagnosis of the colon. Two shape features, called the local shape index and curvedness, are used for defining the shape-scale spectrum. The shape index and curvedness values within CT colonographic data are mapped to the shape-scale spectrum in which specific types of colonic structures are represented by unique characteristic signatures in the spectrum. The characteristic signatures of specific types of lesions can be determined by use of computer-simulated lesions or by use of clinical data sets subjected to a computerized detection scheme. The signatures are used for defining a 2-D color map by assignment of a unique color to each signature region.

摘要翻译： 一种通过形状尺度分析对CT结构数据进行虚拟内窥镜检查的可视化方法和系统。 该方法为感兴趣的每个结肠结构提供独特的颜色，从而有助于结肠的快速诊断。 称为局部形状指数和弯曲度的两个形状特征用于定义形状尺度光谱。 CT结构数据中的形状指数和曲线值映射到形态规模谱，其中特定类型的结肠结构由光谱中的唯一特征特征表示。 可以通过使用计算机模拟病变或使用经历计算机化检测方案的临床数据集确定特定类型病变的特征。 签名用于通过为每个签名区域分配唯一的颜色来定义2-D彩色图。