公开(公告)号：US07379572B2

公开(公告)日：2008-05-27

申请号：US10270674

申请日：2002-10-16

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

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

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T7/41 ,  G06T2207/10081 ,  G06T2207/30032

Abstract: 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.

Abstract translation: 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：US07505806B2

公开(公告)日：2009-03-17

申请号：US10626320

申请日：2003-07-24

Applicant: Yoshitaka Masutani ,  Osamu Abe ,  Shigeki Aoki ,  Hiroyuki Kabasawa

Inventor： Yoshitaka Masutani ,  Osamu Abe ,  Shigeki Aoki ,  Hiroyuki Kabasawa

IPC: A61B5/05 ,  G06K9/00 ,  G01V3/00

CPC classification number: G06T7/0012 ,  G01R33/56341 ,  G06T7/12 ,  G06T7/181 ,  G06T2207/10092 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/30016

Abstract: For the purpose of preventing a situation in which the fiber density looks as if it suddenly decreases in a specific view direction, a method comprises: specifying a region of interest R1 in MR image data collected by a diffusion tensor method; defining regular grid points in the region of interest R1; defining points obtained by randomly moving the grid points as tracking start points S1, S2, . . . ; performing diffusion tensor analysis on each tracking start point S1, S2, . . . in the image data to determine a direction of a principal axis vector; tracking a fiber by repeatedly selecting a neighbor point along the direction of the principal axis vector and performing diffusion tensor analysis on the neighbor point to determine the direction of the principal axis vector; and producing and displaying an image of the tracked fibers as viewed in a desired view direction.

Abstract translation: 为了防止纤维密度看起来像在特定视图方向上突然减小的情况，方法包括：通过扩散张量法指定MR图像数据中的感兴趣区域R1; 定义感兴趣区域R1中的规则网格点; 定义通过随机移动网格点作为跟踪开始点S1，S2获得的点。 。 。 ; 对每个跟踪开始点S1，S2进行扩散张量分析。 。 。 在图像数据中确定主轴矢量的方向; 通过沿着主轴矢量的方向重复选择一个相邻点，并对相邻点执行扩散张量分析来跟踪光纤，以确定主轴矢量的方向; 并且在期望的视图方向上产生和显示所跟踪的纤维的图像。

公开(公告)号：US20050101857A1

公开(公告)日：2005-05-12

申请号：US10626320

申请日：2003-07-24

Applicant: Yoshitaka Masutani ,  Osamu Abe ,  Shigeki Aoki ,  Hiroyuki Kabasawa

Inventor： Yoshitaka Masutani ,  Osamu Abe ,  Shigeki Aoki ,  Hiroyuki Kabasawa

IPC: G01R33/54 ,  A61B5/055 ,  G01R33/563 ,  G06T5/00 ,  A61B5/05

CPC classification number: G06T7/0012 ,  G01R33/56341 ,  G06T7/12 ,  G06T7/181 ,  G06T2207/10092 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/30016

Abstract: For the purpose of preventing a situation in which the fiber density looks as if it suddenly decreases in a specific view direction, a method comprises: specifying a region of interest R1 in MR image data collected by a diffusion tensor method; defining regular grid points in the region of interest R1; defining points obtained by randomly moving the grid points as tracking start points S1, S2, . . . ; performing diffusion tensor analysis on each tracking start point S1, S2, . . . in the image data to determine a direction of a principal axis vector; tracking a fiber by repeatedly selecting a neighbor point along the direction of the principal axis vector and performing diffusion tensor analysis on the neighbor point to determine the direction of the principal axis vector; and producing and displaying an image of the tracked fibers as viewed in a desired view direction.

Abstract translation: 为了防止纤维密度看起来像在特定视图方向上突然减小的情况，方法包括：通过扩散张量法指定MR图像数据中的感兴趣区域R1; 定义感兴趣区域R1中的规则网格点; 定义通过随机移动网格点作为跟踪开始点S1，S2获得的点。 。 。 ; 对每个跟踪开始点S1，S2进行扩散张量分析。 。 。 在图像数据中确定主轴矢量的方向; 通过沿着主轴矢量的方向重复选择一个相邻点，并对相邻点执行扩散张量分析来跟踪光纤，以确定主轴矢量的方向; 并且在期望的视图方向上产生和显示所跟踪的纤维的图像。