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1. 发明申请

WO2009020630A2 SYSTEM AND METHOD FOR ROBUST SEGMENTATION OF TUBULAR STRUCTURES IN 2D AND 3D IMAGES 审中-公开
标题翻译：用于2D和3D图像中管状结构的鲁棒分段的系统和方法
公开(公告)号：WO2009020630A2
公开(公告)日：2009-02-12
申请号：PCT/US2008/009470
申请日：2008-08-07
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , FAHMI, Rachid , WOLF, Matthias , JEREBKO, Anna
发明人： FAHMI, Rachid , WOLF, Matthias , JEREBKO, Anna
IPC分类号： G06T7/00 , A61B5/00
CPC分类号： G06K9/6207 , G06K9/34 , G06T7/0012 , G06T7/149 , G06T2207/20116 , G06T2207/30101
摘要： A method for segmenting tubular structures in medical images includes providing (62) at least a start point and an end point in a digital image volume, minimizing (63) an action surface U 0 ( p ) which, at each image point p , corresponds to a minimal energy integrated along a path that starts at start point p0 and ends at p, sliding back (64) on the minimal action surface from an end point to the start point to find a minimal path connecting the terminal points, initializing(65) a level set function with points on the minimal path, and evolving (66) the level set function to find a surface of a structure about the minimal path, wherein the level set function is constrained to be close to a signed distance function and wherein the level set function is prevented from growing wider than a predetermined diameter R , wherein the surface about the minimal path defines a tubular structure.
摘要翻译：用于在医学图像中分割管状结构的方法包括在数字图像体积中提供（62）至少起始点和终点，使（63）最小化（63）在每个图像点处对应于沿起始点p0开始并以p结束的路径积分的最小能量从终点到起始点在最小动作表面上滑回（64），以找到连接终点的最小路径，初始化（65）a 在最小路径上具有点的级别集函数，并且演化（66）级集合函数以找到关于最小路径的结构的表面，其中级集合函数被约束为接近带符号距离函数，并且其中级防止设定功能比预定直径R更宽，其中围绕最小路径的表面限定管状结构。

2. 发明申请

WO2009045471A1 SYSTEM AND METHOD FOR ORGAN SEGMENTATION USING SURFACE PATCH CLASSIFICATION IN 2D AND 3D IMAGES 审中-公开
标题翻译：使用2D和3D图像中的表面分类分类的组织分类的系统和方法
公开(公告)号：WO2009045471A1
公开(公告)日：2009-04-09
申请号：PCT/US2008/011411
申请日：2008-10-02
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , JEREBKO, Anna , WOLF, Matthias
发明人： JEREBKO, Anna , WOLF, Matthias
IPC分类号： G06T17/20
CPC分类号： G06T17/20 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/20081 , G06T2207/20124 , G06T2207/30004
摘要： A method for segmenting organs in digitized medical images includes providing (20) a set of segmented training images of an organ, computing (22) a surface mesh having a plurality of mesh cells that approximates a border of the organ, extracting positive (24) examples of all mesh cells and negative (25) examples in the neighborhood of each mesh cell which do not belong to the organ surface, training (26) from the positive examples and negative examples a plurality of classifiers for outputting a probability of a point being a center of a particular mesh cell, computing (27) an active shape model using a subset of center points in the mesh cells, generating (28) a new shape by iteratively deforming the active shape model to fit a test image, and using the classifiers to calculate a probability of each center point of the new shape being a center of a mesh cell which the classifier was trained to recognize.
摘要翻译：一种用于在数字化医学图像中分割器官的方法包括提供（20）一组器官的分段训练图像，计算（22）具有近似器官边界的多个网格细胞的表面网格，提取正（24）所有网格细胞和不属于器官表面的每个网格细胞附近的所有网格细胞和阴性（25）实例的示例，从正面实例和阴性实例中训练（26）多个用于输出点的概率的分类器特定网格单元的中心，使用网格单元中的中心点的子集来计算（27）活动形状模型，通过迭代地变形活动形状模型以适合测试图像来生成（28）新形状，并且使用分类器来计算新形状的每个中心点的概率，其是分类器被训练以识别的网格单元的中心。

3. 发明申请

WO2009042034A1 USER INTERFACE FOR POLYP ANNOTATION, SEGMENTATION, AND MEASUREMENT IN 3D COMPUTED TOMOGRAPHY COLONOGRAPHY 审中-公开
标题翻译： 3D计算机图像聚合的聚合物聚合，分割和测量的用户界面
公开(公告)号：WO2009042034A1
公开(公告)日：2009-04-02
申请号：PCT/US2008/010629
申请日：2008-09-10
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , LU, Le , BARBU, Adrian , WOLF, Matthias , LAKARE, Sarang , BOGONI, Luca , SALGANICOFF, Marcos , COMANICIU, Dorin
发明人： LU, Le , BARBU, Adrian , WOLF, Matthias , LAKARE, Sarang , BOGONI, Luca , SALGANICOFF, Marcos , COMANICIU, Dorin
IPC分类号： G06F3/048
CPC分类号： G16H40/63 , G06F19/00 , G06T7/0012 , G06T7/12 , G06T2200/24 , G06T2207/10072 , G06T2207/20092 , G06T2207/30032
摘要： A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary. The segmented polyp is displayed in the user interface, and a user can modify the segmented polyp boundary using the interface. The interface can measure the size of the segmented polyp in three dimensions. The user can also use the interface for polyp annotation in CTC volumes.
摘要翻译：公开了一种用于在计算机断层造影（CTC）体积中提供用于息肉注释，分割和测量的用户界面的方法和系统。界面在CTC体积中接收初始息肉位置，并根据初始息肉位置自动分段息肉。为了分割息肉，使用训练有素的3D点检测器在CTC体积中检测息肉末端。然后将局部极坐标系拟合到CTC体积中的结肠表面，其中原点在检测到的息肉末端。使用训练有素的3D框，在局部极坐标系的每个轴上检测Polyp内部体素和息肉外部体素。基于检测到的息肉内部体素和息肉外部体素，通过使用训练有素的分类器进行升压1D曲线解析，在局部极坐标系的每个轴上检测边界体素。这导致分段息肉边界。分段息肉显示在用户界面中，用户可以使用界面修改分段息肉边界。界面可以在三维中测量分段息肉的大小。用户还可以在CTC卷中使用界面进行息肉注释。

4. 发明申请

WO2009048545A1 SYSTEM AND METHOD FOR DETECTING TAGGED MATERIAL USING ALPHA MATTING 审中-公开
标题翻译：用ALPHA MATAT检测标签材料的系统和方法
公开(公告)号：WO2009048545A1
公开(公告)日：2009-04-16
申请号：PCT/US2008/011520
申请日：2008-10-06
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , LEE, Tin Man , LAKARE, Sarang , WOLF, Matthias
发明人： LEE, Tin Man , LAKARE, Sarang , WOLF, Matthias
IPC分类号： G06T7/00
CPC分类号： G06T7/155 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/30032 , G06T2207/30096
摘要： A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding (41) a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating (42) a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting (43) successive layers of the unknown region until the foreground region is reached, and classifying (44) each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.
摘要翻译：计算机辅助对象分类，计算机断层造影中的软分割和层提取的方法包括提供冒号的对比度增强的计算机断层摄影（CT）数字图像，找到（41）强度高于前者的体素的前景区域创建（42）从背景开始，将图像分割成前景区域，背景区域和前景和背景之间的未知区域的冒号的3D微调，提取（43）连续层到达前景区域，并将每个提取层分类为（44）作为背景或前景，并生成前景无光泽，背景无光泽和阿尔法无光泽，其中alpha表示前景和背景体素的混合比例。

5. 发明申请

WO2007016280A2 SYSTEM AND METHOD FOR BODY EXTRACTION IN MEDICAL IMAGE VOLUMES 审中-公开
标题翻译：医学图像体内体内提取的系统和方法
公开(公告)号：WO2007016280A2
公开(公告)日：2007-02-08
申请号：PCT/US2006/029269
申请日：2006-07-27
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , GUÉTAT, Grégoire , STOECKEL, Jonathan , WOLF, Matthias
发明人： GUÉTAT, Grégoire , STOECKEL, Jonathan , WOLF, Matthias
CPC分类号： A61B6/5252 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/30004
摘要： A method for identifying non-body structures in digitized medical images including the steps of providing a digitized image comprising a plurality of intensities corresponding to a domain of points on an N-dimensional grid, wherein said image includes a representation of a body and of non-body structures separate from said body, initializing (11) a surface in said image on a side of said non-body structures opposite from said body, defining (13) a plurality of forces acting on said surface, and displacing (14) said surface through said non-body structures using said forces until said body is encountered.
摘要翻译：一种用于识别数字化医学图像中的非身体结构的方法，包括以下步骤：提供包括与N维网格上的点的区域相对应的多个强度的数字化图像，其中所述图像包括身体和非身体结构的表示，与所述主体分开的主体结构，初始化（11）所述图像中与所述主体相对的所述非体部结构的一侧上的表面，限定（13）多个作用在所述表面上的力，并且移位（14）所述通过使用所述力的所述非身体结构的表面，直到遇到所述身体。

6. 发明申请

WO2009009092A1 SYSTEM AND METHOD FOR DETECTING SPHERICAL AND ELLIPSOIDAL OBJECTS USING CUTTING PLANES 审中-公开
标题翻译：使用切割平面检测球形和椭圆形物体的系统和方法
公开(公告)号：WO2009009092A1
公开(公告)日：2009-01-15
申请号：PCT/US2008/008465
申请日：2008-07-10
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , WOLF, Matthias , SALGANICOFF, Marcos , LAKARE, Sarang
发明人： WOLF, Matthias , SALGANICOFF, Marcos , LAKARE, Sarang
IPC分类号： G06T7/00
CPC分类号： G06T7/0012
摘要： A method for detecting spherical and ellipsoidal objects is digitized medical images includes providing (81) a 2-dimensional (2D) slice I(x, y) extracted from a medical image volume of a colon, said image volume comprising a plurality of intensities associated with a 3 grid of points, generating (82) a plurality of templates of different sizes whose shape matches a target structure being sought in said slice, calculating (83) a normalized gradient from said slice, calculating (84) a diverging field gradient response (DFGR) for each of the plurality of masks with the normalized gradient, and selecting (85) a strongest response as being indicative of the position and size of the target structure.
摘要翻译：用于检测球形和椭球体的方法是数字化医学图像，包括提供（81）从冒号的医学图像体积提取的二维（2D）切片I（x，y），所述图像体积包括多个相关联的强度产生（82）多个不同尺寸的模板，其形状与在所述切片中寻找的目标结构匹配，从所述切片计算（83）归一化梯度，计算（84）发散场梯度响应（DFGR），并且选择（85）最强响应作为目标结构的位置和大小的指示。

7. 发明申请

WO2008033422A1 JOINT SEGMENTATION AND REGISTRATION 审中-公开
标题翻译：联合分会和注册
公开(公告)号：WO2008033422A1
公开(公告)日：2008-03-20
申请号：PCT/US2007/019854
申请日：2007-09-12
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , BOGONI, Luca , WOLF, Matthias , VALADEZ, Gerardo, Hermosillo
发明人： BOGONI, Luca , WOLF, Matthias , VALADEZ, Gerardo, Hermosillo
IPC分类号： G06T5/00 , G06T7/00
CPC分类号： G06T7/174 , G06T7/11 , G06T7/33 , G06T7/38 , G06T2207/10088 , G06T2207/20164 , G06T2207/30004
摘要： A system for joint segmentation and registration includes a memory device storing a plurality of datasets (101) comprising images of an object of interest and a plurality of instructions embodying the system for joint segmentation and registration, and a processor for receiving the plurality of datasets and executing the plurality of instructions to perform a method including performing, iteratively, a segmentation and a registration of at least a portion of the plurality of datasets comprising, performing the segmentation of the plurality of datasets (100), outputting a segmentation result, performing the registration on the segmentation result (102-103), outputting a registration result, and merging information of the plurality of datasets, including the registration result, by propagating the segmentation result from each dataset to all other datasets (104).
摘要翻译：用于联合分割和注册的系统包括存储包括感兴趣对象的图像的多个数据集（101）和体现用于联合分割和注册的系统的多个指令的存储器装置，以及用于接收多个数据集和执行所述多个指令以执行包括执行所述多个数据集的至少一部分的分段和注册的方法，包括：执行所述多个数据集（100）的分割，输出分割结果，执行所述多个数据集通过将分割结果从每个数据集传播到所有其他数据集（104），分割结果（102-103）上的注册，输出注册结果以及合并多个数据集的信息，包括注册结果。

8. 发明申请

WO2006062540A2 SHAPE INDEX WEIGHTED VOTING FOR DETECTION OF OBJECTS 审中-公开
标题翻译：形状指标用于检测物体的加权投票
公开(公告)号：WO2006062540A2
公开(公告)日：2006-06-15
申请号：PCT/US2005/015608
申请日：2005-05-05
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , CATHIER, Pascal , ZHANG, Xiangwei , STOECKEL, Jonathan , WOLF, Matthias
发明人： CATHIER, Pascal , ZHANG, Xiangwei , STOECKEL, Jonathan , WOLF, Matthias
CPC分类号： G06T7/0012 , G06K9/4671 , G06T2207/30061 , Y10S128/922
摘要： In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape
摘要翻译：在本发明的一个方面，提供了一种用于计算在图像中指示全局形状的第一体素处的响应值的方法。该方法包括以下步骤：（a）确定与所述至少一个局部形状描述符中的每一个相关联的至少一个局部形状描述符; （b）确定与所述至少一个局部形状描述符中的每一个相关联的扩展函数; （c）确定第一体素周围的第二体素; （d）在每个第二体素处计算每个所述至少一个局部形状描述符的值; （e）基于扩展函数确定第一体素中的每个第二体素的贡献; 和（f）使用组合函数来组合贡献以确定指示全局形状的响应值

9. 发明申请

WO2009009099A2 COMPUTER-ASSISTED DETECTION OF COLONIC POLYPS USING CONVEX HULL 审中-公开
标题翻译：使用凸耳的计算机辅助检测殖民地聚合物
公开(公告)号：WO2009009099A2
公开(公告)日：2009-01-15
申请号：PCT/US2008/008476
申请日：2008-07-10
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , WOLF, Matthias , SALGANICOFF, Marcos
发明人： WOLF, Matthias , SALGANICOFF, Marcos
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/64 , G06T2207/30032
摘要： A method for performing computer-assisted diagnosis includes receiving a plurality of two-dimensional views of an internal structure (S51), defining a search space around one or more areas of analysis within each view of the internal structure (S54), calculating a convex hull for each area of analysis within each search space of each view of the internal structure (S55), determining a set of foreground pixels that are located within the convex hull for each area of analysis within each search space within each view of the internal structure (S56), and for each area of analysis, merging the set of foreground pixels that are located within the convex hull from each view (S57).
摘要翻译：一种用于执行计算机辅助诊断的方法，包括接收内部结构的多个二维视图（S51），在内部结构的每个视图内围绕一个或多个分析区域定义搜索空间（S54），计算凸对于内部结构的每个视图的每个搜索空间内的每个搜索空间中的每个分析区域的船体（S55），确定在内部结构的每个视图内的每个搜索空间内的每个搜索空间内的每个分析区域位于凸包内的一组前景像素（S56），并且对于每个分析区域，从每个视图合并位于凸包中的前景像素集合（S57）。

10. 发明申请

WO2008097630A2 3D SEGMENTATION OF THE COLON IN MR COLONOGRAPHY 审中-公开
标题翻译： MR COLONOGRAPHY的三维分割
公开(公告)号：WO2008097630A2
公开(公告)日：2008-08-14
申请号：PCT/US2008/001664
申请日：2008-02-06
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , QIAN, Zhen , WOLF, Matthias , BOGONI, Luca
发明人： QIAN, Zhen , WOLF, Matthias , BOGONI, Luca
IPC分类号： G06T7/00 , G06T5/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10088 , G06T2207/20101 , G06T2207/20116 , G06T2207/20168 , G06T2207/30032 , Y10S128/922
摘要： A method for segmenting a tubular structure includes providing a three-dimensional image including the tubular structure, providing at least one seed point within the tubular structure (101), fitting an initial cylinder into the tubular structure at the seed point (102), adding cylinder segments to the initial cylinder in forward and backward directions within the three-dimensional image of the tubular structure by tracking the cylinder model over the tubular structure (103), modeling each cylinder segment using parameters to account for a three-dimensional orientation, a radius, a length and a curvature, describing an intensity image of the tubular structure using a second model to represent an edge and intensity distribution of the tubular structure, fitting the parameters as the cylinder segment is added to the intensity image, and outputting cylinder segments as a segmentation of the tube (104). (Figure 1)
摘要翻译：用于分割管状结构的方法包括提供包括管状结构的三维图像，在管状结构（101）内提供至少一个种子点，将初始圆柱体在种子点（102）处装配到管状结构中，添加通过在管状结构（103）上跟踪气缸模型，在管状结构的三维图像内的前后方向上的气缸段到达初始气缸，使用参数来建模每个气缸段以考虑三维取向，半径，长度和曲率，使用第二模型描述管状结构的强度图像，以表示管状结构的边缘和强度分布，将气缸段的参数拟合到强度图像上，并输出气缸段作为管（104）的分割。（图1）

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