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31. 发明申请

US20130169639A1 SYSTEM AND METHOD FOR INTERACTIVE CONTOURING FOR 3D MEDICAL IMAGES 有权
标题翻译：用于3D医学图像的交互式轮廓的系统和方法
公开(公告)号：US20130169639A1
公开(公告)日：2013-07-04
申请号：US13343102
申请日：2012-01-04
申请人： Feng Shi , Xiaoliang Li , Shoupu Chen
发明人： Feng Shi , Xiaoliang Li , Shoupu Chen
IPC分类号： G06T17/00
CPC分类号： G06T7/11 , G06T7/187 , G06T2207/10081 , G06T2207/20101 , G06T2207/30036
摘要： A method for segmenting an object in a volume image, executed at least in part on a computer, renders the volume image data to a two-dimensional display screen showing first, second, and third mutually orthogonal planes in the two-dimensional rendering. One or more operator instructions that identify a plurality of seed points on the rendered volume image are accepted. Two-dimensional coordinates of the identified seed points on the display screen are converted to three-dimensional seed-point coordinates relating to the first, second, and third mutually orthogonal planes a segmentation operation is performed on the volume image according to the converted three-dimensional seed-point coordinates. Segmentation results are displayed on the display screen, relative to the first, second, and third mutually orthogonal planes.
摘要翻译：一种用于分割至少部分地在计算机上执行的体积图像中的对象的方法，将体积图像数据呈现为二维显示中的第二，第二和第三相互正交的平面的二维显示屏。识别所呈现的卷图像上的多个种子点的一个或多个操作员指令被接受。将显示屏幕上识别的种子点的二维坐标转换为与第一，第二和第三相互正交的平面相关的三维种子坐标，根据转换的三维坐标系对卷图像执行分割操作，三维种子点坐标。分割结果相对于第一，第二和第三相互正交的平面显示在显示屏上。

32. 发明申请

US20130108135A1 RIB SUPPRESSION IN RADIOGRAPHIC IMAGES 有权
标题翻译： RIB抑制在放射影像
公开(公告)号：US20130108135A1
公开(公告)日：2013-05-02
申请号：US13527629
申请日：2012-06-20
申请人： Zhimin Huo , Fan Xu , Shoupu Chen , Qinran Chen
发明人： Zhimin Huo , Fan Xu , Shoupu Chen , Qinran Chen
IPC分类号： G06K9/62
CPC分类号： G06T7/0083 , G06T7/12 , G06T2207/10116 , G06T2207/20128 , G06T2207/30008 , G06T2207/30061 , G06T2207/30172
摘要： A method for rib suppression in a chest x-ray image detects and labels one or more ribs in a region of interest and detects rib edges of the one or more detected ribs. Cross rib profiles are generated along the detected ribs. The original x-ray image is conditioned according to at least one of the detected rib edge and cross rib profiles. The conditioned x-ray image can be stored, displayed, or transmitted.
摘要翻译：用于胸部X射线图像中的肋部抑制的方法检测并标记感兴趣区域中的一个或多个肋并且检测所述一个或多个检测到的肋的肋边缘。沿着检测到的肋产生横肋轮廓。根据检测到的肋边缘和横肋轮廓中的至少一个来调节原始X射线图像。可以存储，显示或传输条件化的X射线图像。

33. 发明申请

US20130022252A1 PANORAMIC IMAGE GENERATION FROM CBCT DENTAL IMAGES 有权
标题翻译： CBCT牙科图像的全景图像生成
公开(公告)号：US20130022252A1
公开(公告)日：2013-01-24
申请号：US13290196
申请日：2011-11-07
申请人： Shoupu Chen , Lawrence A. Ray , Jean-Marc Inglese
发明人： Shoupu Chen , Lawrence A. Ray , Jean-Marc Inglese
IPC分类号： G06K9/46
CPC分类号： G06T3/0031 , G06K2209/05 , G06T3/4038
摘要： A method for forming a panoramic image from a computed tomography image volume, acquires image data elements for one or more computed tomographic volume images of a subject, identifies a subset of the acquired computed tomographic images that contain one or more features of interest and defines, from the subset of the acquired computed tomographic images, a sub-volume having a curved shape that includes one or more of the contained features of interest. The curved shape is unfolded by defining a set of unfold lines wherein each unfold line extends at least between two curved surfaces of the curved shape sub-volume and re-aligning the image data elements within the curved shape sub-volume according to a re-alignment of the unfold lines. One or more views of the unfolded sub-volume are displayed.
摘要翻译：一种用于从计算机断层摄影图像体积形成全景图像的方法，获取对象的一个或多个计算机断层摄影体积图像的图像数据元素，识别包含一个或多个感兴趣特征的所获取的计算机断层图像的子集，从所获取的计算机断层图像的子集中，具有包括感兴趣的所包含特征中的一个或多个的具有弯曲形状的子体积。弯曲形状通过限定一组展开线而展开，其中每个展开线至少在弯曲形状子体积的两个弯曲表面之间延伸，并且根据重新排列在曲面形状子体积内重新对准图像数据元素，展开线对齐。显示展开的子卷的一个或多个视图。

34. 发明申请

US20120313942A1 SYSTEM AND METHOD FOR DIGITAL VOLUME PROCESSING WITH GPU ACCELERATIONS 审中-公开
标题翻译：用GPU加速度进行数字量处理的系统和方法
公开(公告)号：US20120313942A1
公开(公告)日：2012-12-13
申请号：US13421183
申请日：2012-03-15
申请人： Shoupu Chen
发明人： Shoupu Chen
IPC分类号： G06T17/00
CPC分类号： G06T1/60 , G06T15/08 , G06T2200/28
摘要： A method for processing digital volume image data, executed at least in part on a computer that has an associated graphics processing unit, orders the digital volume image data as a stack of two-dimensional image slices of voxels. A 1:1 mapping of each of the slices is formed, in sequential order, to a corresponding tile in a digital one-row flat volume in a global memory. For each voxel in the digital flat volume, a neighborhood is defined that has, relative to each voxel, four or more adjacent voxels that are within the corresponding tile of each voxel, and one or more adjacent voxels that are within the preceding tile, and one or more adjacent voxels that are within the next tile. Each voxel is updated according to information stored for the adjacent voxels in the defined neighborhood for said each voxel to form a rendered volume image, which is displayed.
摘要翻译：一种用于处理数字体积图像数据的方法，至少部分地在具有关联的图形处理单元的计算机上执行，将数字体积图像数据排序为体素的二维图像切片的堆叠。每个片的1：1映射以顺序的顺序形成到全局存储器中数字一行扁平卷中的相应片。对于数字平坦体积中的每个体素，定义了相对于每个体素具有在每个体素的相应平铺内的四个或更多个相邻体素以及位于前一个平铺内的一个或多个相邻体素的邻域，以及在下一个瓦片内的一个或多个相邻体元素。根据针对所述每个体素的所定义的邻域中为相邻体素存储的信息来更新每个体素，以形成被显示的呈现体积图像。

35. 发明授权

US08224051B2 Method for detection of linear structures and microcalcifications in mammographic images 有权
标题翻译：乳腺摄影图像中线性结构和微钙化检测方法
公开(公告)号：US08224051B2
公开(公告)日：2012-07-17
申请号：US12973035
申请日：2010-12-20
申请人： Shoupu Chen , Lawrence A. Ray
发明人： Shoupu Chen , Lawrence A. Ray
IPC分类号： G06K9/00 , A61B6/00
CPC分类号： G06T7/0012 , G06K9/4633 , G06T2207/20104 , G06T2207/30068
摘要： A method for detecting a linear structure in a digital mammographic image, using a processor or computer at least in part, locates at least one microcalcification candidate cluster in the image data and extracts a first region of interest that encloses the at least one microcalcification candidate cluster. The first region of interest is processed to identify feature points that correspond to geometric structures in the first region of interest. A linear detection algorithm is applied by a repeated process that selects a line model from a predefined set of line models and analyzes the line model to determine whether a linear structure is present in the first region of interest.
摘要翻译：一种用于使用处理器或计算机至少部分地检测数字乳腺X线照相图像中的线性结构的方法，将至少一个微钙化候选聚类定位在图像数据中，并提取包围至少一个微钙化候选簇的第一感兴趣区域。第一感兴趣区域被处理以识别对应于第一感兴趣区域中的几何结构的特征点。通过重复的过程应用线性检测算法，该过程从预定义的一组线模型中选择线模型，并分析线模型以确定在第一感兴趣区域中是否存在线性结构。

36. 发明申请

US20090041326A1 LINE STRUCTURE DETECTION AND ANALYSIS FOR MAMMOGRAPHY CAD 失效
标题翻译：线性结构检测与分析
公开(公告)号：US20090041326A1
公开(公告)日：2009-02-12
申请号：US11834243
申请日：2007-08-06
申请人： Shoupu Chen , Daoxian Heidi Zhang , Yajie Sun , Yong Chu , Lawrence A. Ray , Yang Zheng , Yue Shen
发明人： Shoupu Chen , Daoxian Heidi Zhang , Yajie Sun , Yong Chu , Lawrence A. Ray , Yang Zheng , Yue Shen
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/10116 , G06T2207/30068
摘要： A method for image linear structure detection in medical imaging. The method includes locating microcalcification (mcc) candidate spots in a mammographic image; forming candidate clusters; assigning ranks to the candidate clusters; identifying linear structures in the neighborhood where the candidate clusters reside; and altering the ranks of the candidate clusters for which linear structures have been identified in the neighborhood.
摘要翻译：一种医学成像中图像线性结构检测的方法。该方法包括在乳房X光照相图像中定位微钙化（mcc）候选斑点; 形成候选聚类; 将等级分配给候选集群; 识别候选集群所在的邻域中的线性结构; 并改变邻域中已经识别出线性结构的候选聚类的行列。

37. 发明申请

US20080118137A1 METHOD AND SYSTEM OF IMAGE FUSION FOR RADIATION THERAPY 失效
标题翻译：用于放射治疗的图像融合方法和系统
公开(公告)号：US20080118137A1
公开(公告)日：2008-05-22
申请号：US11956632
申请日：2007-12-14
申请人： Shoupu Chen , Richard Alan Simon
发明人： Shoupu Chen , Richard Alan Simon
IPC分类号： G06K9/00
CPC分类号： G06T7/35 , G06T2207/30004
摘要： An image fusion method which is used for medical applications. The method includes: (a) acquiring a first image with a planned radiation region; (b) acquiring a second image with actual radiation region; (c) determining if user defined landmarks have been placed on the first and second images, if user defined landmarks are present go to step (d), if not go to step (e); (d) pre-transforming the first image or second image or both images; and (e). performing a first delineation step on the actual radiation region. The method further includes: (f) determining if the delineation is correct, if yes go to step (g), if not go to step (h); (g) fusing the first and second image and exit process; and (h) selecting multiple guide points around the actual radiation region in the second image, wherein the guide points are position adaptable points; which are placed near but not on the boundaries of the region; and (i) performing a second delineation step on the actual radiation region and go to step (f).
摘要翻译：一种用于医疗应用的图像融合方法。该方法包括：（a）获取具有计划辐射区域的第一图像; （b）用实际辐射区域获取第二图像; （c）如果用户定义的地标已经被放置在第一和第二图像上，则确定是否存在用户定义的地标，如果不是去到步骤（e），则进入步骤（d）（d）预变换第一图像或第二图像或两个图像; 和（e）。对实际辐射区域执行第一描绘步骤。该方法还包括：（f）确定描述是否正确，如果是，则进行步骤（g），如果不进行步骤（h）; （g）融合第一和第二图像和退出过程; 以及（h）在所述第二图像中选择围绕所述实际辐射区域的多个引导点，其中所述引导点是位置适应点; 它们位于该地区的边界附近，但不在该地区的边界; 和（i）对实际辐射区域执行第二描绘步骤，并进入步骤（f）。

38. 发明授权

US07317821B2 Automatic abnormal tissue detection in MRI images 失效
标题翻译： MRI图像中自动异常组织检测
公开(公告)号：US07317821B2
公开(公告)日：2008-01-08
申请号：US10994715
申请日：2004-11-22
申请人： Shoupu Chen , Zhimin Huo , Lawrence A. Ray
发明人： Shoupu Chen , Zhimin Huo , Lawrence A. Ray
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/00 , G06K2209/053 , G06T2207/30068
摘要： A pattern recognition method for automatic abnormal tissue detection and differentiation using contrast enhanced MRI images. The method includes the steps of acquiring a plurality of MRI breast image sets; aligning the plurality of MRI breast images with respect to spatial coordinates; differencing the plurality of MRI breast image sets with a reference MRI image set, producing a plurality of difference image sets; segmenting the plurality of difference image sets, producing a plurality of MRI breast images with segmented intensity pixels; applying dynamic system identification to the segmented intensity pixels, producing a plurality of dynamic system parameters; and classifying the plurality of system parameters augmented with other physical or non-physical factors into different classes.
摘要翻译：使用对比增强MRI图像的自动异常组织检测和分化的模式识别方法。该方法包括获取多个MRI乳房图像组的步骤; 相对于空间坐标对准多个MRI乳房图像; 使用参考MRI图像组来区分多个MRI乳房图像组，产生多个差分图像组; 分割多个差分图像组，产生具有分段强度像素的多个MRI乳房图像; 对分段强度像素应用动态系统识别，产生多个动态系统参数; 并将由其他物理或非物理因素增加的多个系统参数分类成不同类别。

39. 发明授权

US07254256B2 Method and computer program product for locating facial features 有权
标题翻译：面部特征的方法和计算机程序产品
公开(公告)号：US07254256B2
公开(公告)日：2007-08-07
申请号：US11042503
申请日：2005-01-25
申请人： Shoupu Chen , Mark R. Bolin
发明人： Shoupu Chen , Mark R. Bolin
IPC分类号： G06K9/00
CPC分类号： G06K9/00281 , G06K9/00604 , G06T7/74 , G06T7/75 , G06T2207/30216
摘要： A digital image processing method detects facial features in a digital image. This method includes the steps of detecting iris pixels in the image, clustering the iris pixels, and selecting at least one of the following schemes to identify eye positions: applying geometric reasoning to detect eye positions using the iris pixel clusters; applying a summation of squared difference method using the iris pixel clusters to detect eye positions; and applying a summation of squared difference method to detect eye positions from the pixels in the image. The method applied to identify eye positions is selected on the basis of the number of iris pixel clusters, and the facial features are located using the identified eye positions.
摘要翻译：数字图像处理方法检测数字图像中的面部特征。该方法包括以下步骤：检测图像中的虹膜像素，聚焦虹膜像素，并选择以下方案中的至少一个来识别眼睛位置：使用虹膜像素簇应用几何推理来检测眼睛位置; 使用虹膜像素簇应用平方差法的求和来检测眼睛位置; 并且应用平方差方法的求和来从图像中的像素检测眼睛位置。基于虹膜像素簇的数量选择应用于识别眼睛位置的方法，并且使用所识别的眼睛位置来定位面部特征。

40. 发明授权

US07194112B2 Three dimensional spatial panorama formation with a range imaging system 有权
标题翻译：具有范围成像系统的三维空间全景形成
公开(公告)号：US07194112B2
公开(公告)日：2007-03-20
申请号：US09803802
申请日：2001-03-12
申请人： Shoupu Chen , Nathan D. Cahill
发明人： Shoupu Chen , Nathan D. Cahill
IPC分类号： G06K9/00
CPC分类号： G06T3/4038 , G06T7/30 , G06T2207/10028 , H04N13/111 , H04N13/221 , H04N13/254 , H04N13/296 , H04N2013/0081 , H04N2013/0088
摘要： Deriving a three-dimensional panorama from a plurality of images of a scene generated by a range imaging camera of the type that produces ambiguities in range information includes the steps of: (a) acquiring a plurality of adjacent images of the scene, wherein there is an overlap region between the adjacent images and at least some of the adjacent images are range images; (b) providing offset data for the range images in order to recover corrected relative scene spatial information and provide a corrected range image, and (c) deriving a three-dimensional panorama from the corrected range image. In order to provide offset data, a relative range difference is detected between adjacent range images as a constant offset between the adjacent images; and the constant offset is applied to at least one of adjacent range images to correct for ambiguities in the relative ranges of the range images.
摘要翻译：从范围信息中产生模糊度的类型的范围成像摄像机产生的场景的多个图像中导出三维全景图包括以下步骤：（a）获取场景的多个相邻图像，其中存在相邻图像和至少一些相邻图像之间的重叠区域是范围图像; （b）提供所述范围图像的偏移数据，以便恢复校正的相对场景空间信息并提供校正的距离图像，以及（c）从校正的距离图像导出三维全景图。为了提供偏移数据，在相邻的距离图像之间检测相对范围差异作为相邻图像之间的恒定偏移; 并且恒定偏移被施加到相邻范围图像中的至少一个，以校正范围图像的相对范围中的模糊度。

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