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1. 发明授权

US08155405B2 System and method for lesion segmentation in whole body magnetic resonance images 有权
标题翻译：全身磁共振图像病变分割系统及方法
公开(公告)号：US08155405B2
公开(公告)日：2012-04-10
申请号：US12045327
申请日：2008-03-10
申请人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Lankton , Valer Canda , Stefan Thesen , Shuping Qing
发明人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Lankton , Valer Canda , Stefan Thesen , Shuping Qing
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/6207 , G06F19/00 , G06K9/342 , G06K2009/366 , G06K2209/053 , G06T7/12 , G06T7/149 , G06T7/194 , G06T2200/04 , G06T2207/10088 , G06T2207/20104 , G06T2207/30096
摘要： A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.
摘要翻译：一种用于三维（3D）数字图像中的病变分割的方法，包括从3D图像中选择感兴趣的2D区域（ROI），ROI包含疑似病变，将ROI的边界延伸到形成感兴趣体积的3D（ VOI），其中VOI边界上的体元被初始化为背景体元素，并且VOI内部的体素被初始化为前景体素，传播前景和背景体素竞争，其中对于VOI中的每个体素，具有每个相邻体素体素的邻域攻击体素，并且如果攻击成功，更新体素的标签和强度与成功的攻击体素的标记和强度，并且以3D形式在前景和背景体素之间演变出一个表面，直到能量功能相关其表面收敛于值，其中表面将图像中的可疑病变分割。

2. 发明授权

US07949171B2 System and method for tracing rib posterior in chest CT volumes 有权
标题翻译：胸部CT检查肋后路系统及方法
公开(公告)号：US07949171B2
公开(公告)日：2011-05-24
申请号：US11549723
申请日：2006-10-16
申请人： Shuping Qing , Hong Shen
发明人： Shuping Qing , Hong Shen
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/155
摘要： A method for tracing, rib posteriors includes providing an incomplete rib tracing comprising a digitized 3-dimensional representation of a rib and a digital image from which said rib tracing was extracted, initializing, a tracing direction for a remainder of said rib, detecting a plurality of ridge points in a sub-volume of said digital image about said initial tracing direction, and deforming a closed curve in a plane perpendicular to said tracing direction until a rib-edge contour is obtained, using said ridge points as constraints.
摘要翻译：一种用于跟踪的方法，肋部后部包括提供不完整的肋跟踪，其包括肋的数字化3维表示和从其提取所述肋跟踪的数字图像，初始化，所述肋的剩余部分的跟踪方向，检测多个在所述数字图像的子体积中的关于所述初始跟踪方向的脊点的脊点，并且使垂直于所述跟踪方向的平面中的闭合曲线变形，直到获得肋边缘轮廓，使用所述脊点作为约束。

3. 发明授权

US07471815B2 Candidate generation for lung nodule detection 有权
标题翻译：肺结节检测候选代
公开(公告)号：US07471815B2
公开(公告)日：2008-12-30
申请号：US11170421
申请日：2005-06-29
申请人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
发明人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
IPC分类号： G06K9/00 , A61B6/00 , G01N23/00 , G21K1/12 , H05G1/60
CPC分类号： G06T7/0012 , G06T2207/30061
摘要： A computer-implemented method for candidate generation in three-dimensional volumetric data comprises forming a binary volumetric image of the three-dimensional volumetric data including labeled foreground voxels, estimating a plurality of shape features of the labeled foreground voxels in the binary volumetric data including, identifying peak voxels and high curvature voxels from the foreground voxels in the binary volumetric image, accumulating a plurality of confidence values for boundary and each peak voxel, and detecting confidence peaks from the plurality of confidence values, wherein the confidence peaks are determined to be the candidate points, and refining the candidate points given detected confidence peaks, wherein refined candidate points are determined to be candidates.
摘要翻译：用于在三维体积数据中候选生成的计算机实现的方法包括形成包括标记的前景体素的三维体积数据的二进制体积图像，估计二进制体积数据中标记的前景体素的多个形状特征，从所述二维体积图像中的前景体素识别峰值体素和高曲率体素，为边界和每个峰体素累积多个置信度值，以及从所述多个置信度值中检测置信峰值，其中所述置信峰值被确定为候选点，并且提取给定检测到的置信峰的候选点，其中精确的候选点被确定为候选。

4. 发明授权

US07379576B2 Method and system for patient identification in 3D digital medical images 失效
标题翻译： 3D数字医学图像中患者识别的方法和系统
公开(公告)号：US07379576B2
公开(公告)日：2008-05-27
申请号：US10974313
申请日：2004-10-27
申请人： Hong Shen , Benjamin Odry , Shuping Qing
发明人： Hong Shen , Benjamin Odry , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B6/5294 , G06T2207/30061 , Y10S378/901
摘要： A method of identifying a patient from digital medical images includes providing a first digital image volume of an organ of a patient and a second digital image volume of the same organ, segmenting each slice of the first image volume and calculating a cross-sectional area of the organ in each slice to form a first area profile, segmenting each slice of the second image volume and calculating a cross-sectional area of the organ in each slice to form a second area profile, and comparing the first area profile with the second area profile to determine a correlation value for the two profiles. Based on the correlation value between the first area profile and the second area profile, it is determined whether the first digital image volume of the organ and the second digital image volume of the same organ came from the same patient.
摘要翻译：从数字医学图像识别患者的方法包括提供患者的器官的第一数字图像体积和同一器官的第二数字图像体积，分割第一图像体积的每个切片，并计算第一图像体积的横截面积每个切片中的器官以形成第一区域轮廓，分割第二图像体积的每个切片并计算每个切片中的器官的横截面面积以形成第二区域轮廓，并且将第一区域轮廓与第二区域配置文件以确定两个配置文件的相关值。基于第一区域轮廓和第二区域轮廓之间的相关值，确定器官的第一数字图像体积和同一器官的第二数字图像体积是否来自同一患者。

5. 发明申请

US20060044310A1 Candidate generation for lung nodule detection 有权
标题翻译：肺结节检测候选代
公开(公告)号：US20060044310A1
公开(公告)日：2006-03-02
申请号：US11170421
申请日：2005-06-29
申请人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
发明人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
IPC分类号： G06T17/00
CPC分类号： G06T7/0012 , G06T2207/30061
摘要： A computer-implemented method for candidate generation in three-dimensional volumetric data comprises forming a binary volumetric image of the three-dimensional volumetric data including labeled foreground voxels, estimating a plurality of shape features of the labeled foreground voxels in the binary volumetric data including, identifying peak voxels and high curvature voxels from the foreground voxels in the binary volumetric image, accumulating a plurality of confidence values for boundary and each peak voxel, and detecting confidence peaks from the plurality of confidence values, wherein the confidence peaks are determined to be the candidate points, and refining the candidate points given detected confidence peaks, wherein refined candidate points are determined to be candidates.
摘要翻译：用于在三维体积数据中候选生成的计算机实现的方法包括形成包括标记的前景体素的三维体积数据的二进制体积图像，估计二进制体积数据中标记的前景体素的多个形状特征，从所述二维体积图像中的前景体素识别峰值体素和高曲率体素，为边界和每个峰体素累积多个置信度值，以及从所述多个置信度值中检测置信峰值，其中所述置信峰值被确定为候选点，并且提取给定检测到的置信峰的候选点，其中精确的候选点被确定为候选。

6. 发明授权

US08073214B2 Computer aided lesion assessment in dynamic contrast enhanced breast MRI images 有权
标题翻译：计算机辅助病变评估动态对比增强胸部MRI图像
公开(公告)号：US08073214B2
公开(公告)日：2011-12-06
申请号：US12117155
申请日：2008-05-08
申请人： Lin Hong , Hong Shen , Shuping Qing
发明人： Lin Hong , Hong Shen , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/10096 , G06T2207/30096
摘要： A method for performing computer-assisted lesion assessment includes acquiring contrast enhanced MRI data. A region of interest is identified. Kinetic properties, morphological properties and pattern of enhancement are determined for the identified region of interest. A score is calculated for each of the kinetic properties, morphological properties, pattern of enhancement. A cumulative score is calculated for the identified region of interest. The scores are provided to a medical practitioner to assist in diagnosing the identified region of interest.
摘要翻译：用于执行计算机辅助病变评估的方法包括获取对比度增强的MRI数据。确定感兴趣的区域。确定感兴趣区域的动力学性质，形态特征和增强模式。计算每个动力学性质，形态特征，增强模式的得分。计算所识别的感兴趣区域的累积分数。分数被提供给医生以帮助诊断所识别的感兴趣的区域。

7. 发明授权

US07756316B2 Method and system for automatic lung segmentation 有权
标题翻译：自动肺分割的方法和系统
公开(公告)号：US07756316B2
公开(公告)日：2010-07-13
申请号：US11565711
申请日：2006-12-01
申请人： Benjamin Odry , Shuping Qing , Hong Shen
发明人： Benjamin Odry , Shuping Qing , Hong Shen
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K2209/05 , G06T7/11 , G06T7/12 , G06T2207/10081 , G06T2207/30061
摘要： Disclosed is a systematic way of automatically segmenting lung regions. To increase the efficiency of a lung segmentation technique, a region-based technique, such as region growing, is performed by a computer on a middle slice of the CT volume. A contour-based technique is then used for a plurality of non-middle slices of the CT volume. This allows the implementation to be multithreaded and results in an improvement in the segmentation algorithm's efficiency.
摘要翻译：公开了一种自动分割肺部区域的系统方法。为了提高肺分割技术的效率，基于区域生长的区域技术由计算机在CT体积的中间切片上进行。然后将基于轮廓的技术用于CT体积的多个非中间切片。这允许实现是多线程的，并且导致分段算法的效率的改进。

8. 发明申请

US20080260221A1 System and Method for Lesion Segmentation in Whole Body Magnetic Resonance Images 有权
标题翻译：全身磁共振图像中病变分割的系统和方法
公开(公告)号：US20080260221A1
公开(公告)日：2008-10-23
申请号：US12045327
申请日：2008-03-10
申请人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Linkton , Valer Canda , Stefan Thesen , Shuping Qing
发明人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Linkton , Valer Canda , Stefan Thesen , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06K9/6207 , G06F19/00 , G06K9/342 , G06K2009/366 , G06K2209/053 , G06T7/12 , G06T7/149 , G06T7/194 , G06T2200/04 , G06T2207/10088 , G06T2207/20104 , G06T2207/30096
摘要： A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.
摘要翻译：一种用于三维（3D）数字图像中的病变分割的方法，包括从3D图像中选择感兴趣的2D区域（ROI），ROI包含疑似病变，将ROI的边界延伸到形成感兴趣体积的3D（ VOI），其中VOI边界上的体元被初始化为背景体元素，并且VOI内部的体素被初始化为前景体素，传播前景和背景体素竞争，其中对于VOI中的每个体素，具有每个相邻体素体素的邻域攻击体素，并且如果攻击成功，更新体素的标签和强度与成功的攻击体素的标记和强度，并且以3D形式在前景和背景体素之间演变出一个表面，直到能量功能相关其表面收敛于值，其中表面将图像中的可疑病变分割。

9. 发明申请

US20080137928A1 Method and System for Registering CT Data Sets 有权
标题翻译：注册CT数据集的方法和系统
公开(公告)号：US20080137928A1
公开(公告)日：2008-06-12
申请号：US11782834
申请日：2007-07-25
申请人： Hong Shen , Andrew Litvin , Shuping Qing
发明人： Hong Shen , Andrew Litvin , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06T7/38 , G06T7/32 , G06T2207/10081 , G06T2207/30012 , Y10S128/922
摘要： Disclosed is a method and apparatus for registering data points in data sets representing scan data. Data points corresponding to a physical feature represented in the scan data are automatically detected. The detected data points in one data set are correlated with detected data points in another data set. A group of similarity transformations between the correlated detected data points is then calculated. The group of similarity transformations is then combined. In one advantageous embodiment, the physical feature is vertebras.
摘要翻译：公开了一种用于在表示扫描数据的数据集中注册数据点的方法和装置。自动检测与扫描数据中表示的物理特征对应的数据点。一个数据集中检测到的数据点与另一数据集中检测到的数据点相关。然后计算相关检测数据点之间的一组相似变换。然后组合相似变换组。在一个有利的实施例中，物理特征是椎骨。

10. 发明申请

US20070165923A1 System and Method For The Joint Evaluation of Multi Phase MR Marrow Images 失效
标题翻译：多相MR骨髓图像联合评价系统与方法
公开(公告)号：US20070165923A1
公开(公告)日：2007-07-19
申请号：US11550819
申请日：2006-10-19
申请人： Hong Shen , Shuping Qing
发明人： Hong Shen , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06K9/6289 , G06K9/38 , G06T7/0012 , G06T7/38 , G06T2207/10088 , G06T2207/30008
摘要： A method for jointly evaluating multi-phase magnetic resonance bone marrow images includes receiving a plurality of magnetic resonance (MR) image sequences of bones acquired using different protocols, each sequence comprising a plurality of images, each image comprising a plurality of intensities corresponding to a domain of points on a 2-dimensional grid, analyzing an image sequence to determine the MR protocol of said sequence, segmenting the bone marrow region in each image of said plurality of MR image sequences, and registering each MR image sequence to every other image sequence in said plurality of sequences wherein each point in each image of each of said plurality of image sequences is registered, wherein said registered image sequences are adapted to being analyzed synchronously.
摘要翻译：联合评估多相磁共振骨髓图像的方法包括接收使用不同协议获取的骨骼的多个磁共振（MR）图像序列，每个序列包括多个图像，每个图像包括对应于多个图像的多个强度在二维网格上的点的区域，分析图像序列以确定所述序列的MR协议，分割所述多个MR图像序列的每个图像中的骨髓区域，并将每个MR图像序列登记到每个其他图像序列在所述多个序列中，其中所述多个图像序列中的每一个的每个图像中的每个点被注册，其中所述注册的图像序列适于被同步分析。

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