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    • 1. 发明授权
    • Automated hierarchical splitting of anatomical trees
    • 解剖树自动分层分裂
    • US08315963B2
    • 2012-11-20
    • US12304784
    • 2007-06-11
    • Rafael WiemkerThomas BuelowRoland Opfer
    • Rafael WiemkerThomas BuelowRoland Opfer
    • G06F17/00G06N5/00
    • G06T7/0012G06T7/11G06T2207/10072G06T2207/20156G06T2207/30061G06T2207/30101
    • A method for splitting a dataset relating to an anatomical tree structure (12) comprises establishing a plurality of seed points (24) within the tree structure; establishing a length of a path (20) along the tree structure from each of the plurality of seed points (24) to each of a plurality of other points (14); establishing a Euclidean distance (26) from each of the plurality of seed points (24) to each of the plurality of other points (14); associating with the seed point (24) a measure representing a likelihood that the seed point is the root point in dependence on the established lengths (20) and distances (26); identifying the root point of the tree structure (12) as the seed point (24) associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point (64) in dependence on the root point.
    • 一种用于分割与解剖树结构(12)相关的数据集的方法包括在所述树结构内建立多个种子点(24); 沿着所述树结构建立从所述多个种子点(24)中的每一个到多个其它点(14)中的每一个的路径(20)的长度; 将所述多个种子点(24)中的每一个的欧几里德距离(26)建立到所述多个其他点(14)中的每个; 与种子点(24)相关联,该度量表示根据建立的长度(20)和距离(26)种子点是根点的可能性; 将所述树结构(12)的根点识别为与表示各个种子点是根点的可能性的最大量度相关联的种子点(24); 并根据根点建立主要分岔点(64)。
    • 3. 发明申请
    • APPARATUS AND METHOD FOR INDICATING LIKELY COMPUTER-DETECTED FALSE POSITIVES IN MEDICAL IMAGING DATA
    • 在医学成像数据中显示计算机检测到的假阳性的装置和方法
    • US20100002922A1
    • 2010-01-07
    • US12519799
    • 2007-12-14
    • Rafael WiemkerRoland OpferThomas Buelow
    • Rafael WiemkerRoland OpferThomas Buelow
    • G06K9/00
    • G06T7/0012G06T2207/30061
    • A data structure for use by a computer system (5) for processing medical image data and representing at least one first region of a patient (8) including at least one computer-detected feature of interest is disclosed. The data structure comprises a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.
    • 公开了一种由计算机系统(5)用于处理医学图像数据并且代表包括至少一个计算机检测到的感兴趣特征的患者(8)的至少一个第一区域的数据结构。 数据结构包括第一计算机代码,其可执行以检测表示包括在相应的第一区域内的至少一个第二区域的第一数据。 所述第二区域中至少一个所述感兴趣的特征具有表示计算机检测到的假阳性的显着可能性。 第二计算机代码可执行以提供第二数据,用于使至少一个所述第一区域能够显示在显示设备上,使得至少一个所述第二区域不显示在所述显示设备上,不同于所述第一区域的不包含特征 具有代表计算机检测到的误报的显着可能性。
    • 4. 发明申请
    • AUTOMATED HIERARCHICAL SPLITTING OF ANATOMICAL TREES
    • 解剖学自动分层分割
    • US20090177444A1
    • 2009-07-09
    • US12304784
    • 2007-06-11
    • Rafael WiemkerThomas BuelowRoland Opfer
    • Rafael WiemkerThomas BuelowRoland Opfer
    • G06F17/50G06F19/00
    • G06T7/0012G06T7/11G06T2207/10072G06T2207/20156G06T2207/30061G06T2207/30101
    • A method for splitting a dataset relating to an anatomical tree structure (12) comprises establishing a plurality of seed points (24) within the tree structure; establishing a length of a path (20) along the tree structure from each of the plurality of seed points (24) to each of a plurality of other points (14); establishing a Euclidean distance (26) from each of the plurality of seed points (24) to each of the plurality of other points (14); associating with the seed point (24) a measure representing a likelihood that the seed point is the root point in dependence on the established lengths (20) and distances (26); identifying the root point of the tree structure (12) as the seed point (24) associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point (64) in dependence on the root point.
    • 一种用于分割与解剖树结构(12)相关的数据集的方法包括在所述树结构内建立多个种子点(24); 沿着所述树结构建立从所述多个种子点(24)中的每一个到多个其它点(14)中的每一个的路径(20)的长度; 将所述多个种子点(24)中的每一个的欧几里德距离(26)建立到所述多个其他点(14)中的每个; 与种子点(24)相关联,该度量表示根据建立的长度(20)和距离(26)种子点是根点的可能性; 将所述树结构(12)的根点识别为与表示各个种子点是根点的可能性的最大量度相关联的种子点(24); 并根据根点建立主要分岔点(64)。
    • 5. 发明授权
    • Apparatus and method for indicating likely computer-detected false positives in medical imaging data
    • 用于在医学成像数据中指示可能的计算机检测到的假阳性的装置和方法
    • US08787634B2
    • 2014-07-22
    • US12519799
    • 2007-12-14
    • Rafael WiemkerRoland OpferThomas Buelow
    • Rafael WiemkerRoland OpferThomas Buelow
    • G06K9/00G06K9/36G06K9/46
    • G06T7/0012G06T2207/30061
    • A data structure for use by a computer system for processing medical image data and representing at least one first region of a patient includes at least one computer-detected feature of interest. The data structure includes a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.
    • 由计算机系统用于处理医学图像数据并且表示患者的至少一个第一区域的数据结构包括至少一个计算机检测到的感兴趣特征。 数据结构包括第一计算机代码,其可执行以检测表示包括在相应的第一区域内的至少一个第二区域的第一数据。 所述第二区域中至少一个所述感兴趣的特征具有表示计算机检测到的假阳性的显着可能性。 第二计算机代码可执行以提供第二数据,用于使至少一个所述第一区域能够显示在显示设备上,使得至少一个所述第二区域不显示在所述显示设备上,不同于所述第一区域的不包含特征 具有代表计算机检测到的误报的显着可能性。
    • 6. 发明授权
    • Visualizing a vascular structure
    • 可视化血管结构
    • US08107707B2
    • 2012-01-31
    • US12516670
    • 2007-11-27
    • Rafael WiemkerRoland OpferThomas Buelow
    • Rafael WiemkerRoland OpferThomas Buelow
    • G06K9/00
    • A61B6/504A61B6/032A61B6/12A61B6/481A61B6/503G06T7/0012G06T2207/10081G06T2207/30104
    • A system (500) for visualizing a vascular structure represented by a three-dimensional angiography dataset is disclosed. Respective voxel values are associated with respective voxels. The dataset represents a vascular structure. The system comprises means (502) for establishing respective filling values; means (504) for identifying respective minimum filling values; means (506) for computing respective deficiency values; and an output (514) for providing a visualization in dependence on the deficiency values. A respective filling value is indicative of an amount of blood flow at the respective position in the vascular structure. A respective minimum filling value is a minimum of the filling values associated with the positions upstream of the respective position. A respective deficiency value is indicative of a difference between the filling value associated with the respective position and the minimum filling value associated with the respective position.
    • 公开了一种用于可视化由三维血管造影数据集表示的血管结构的系统(500)。 各个体素值与相应的体素相关联。 数据集表示血管结构。 该系统包括用于建立相应填充值的装置(502) 用于识别相应的最小填充值的装置(504); 用于计算各个不足值的装置(506); 以及用于根据不足值提供可视化的输出(514)。 相应的填充值表示血管结构中各个位置处的血流量。 相应的最小填充值是与相应位置的上游位置相关联的填充值的最小值。 相应的缺陷值表示与各个位置相关联的填充值与与各个位置相关联的最小填充值之间的差异。
    • 10. 发明申请
    • VISUALIZING A VASCULAR STRUCTURE
    • 可视化血管结构
    • US20100074493A1
    • 2010-03-25
    • US12516670
    • 2007-11-27
    • Rafael WiemkerRoland OpferThomas Buelow
    • Rafael WiemkerRoland OpferThomas Buelow
    • G06K9/00
    • A61B6/504A61B6/032A61B6/12A61B6/481A61B6/503G06T7/0012G06T2207/10081G06T2207/30104
    • A system (500) for visualizing a vascular structure represented by a three-dimensional angiography dataset is disclosed. Respective voxel values are associated with respective voxels. The dataset represents a vascular structure. The system comprises means (502) for establishing respective filling values; means (504) for identifying respective minimum filling values; means (506) for computing respective deficiency values; and an output (514) for providing a visualization in dependence on the deficiency values. A respective filling value is indicative of an amount of blood flow at the respective position in the vascular structure. A respective minimum filling value is a minimum of the filling values associated with the positions upstream of the respective position. A respective deficiency value is indicative of a difference between the filling value associated with the respective position and the minimum filling value associated with the respective position.
    • 公开了一种用于可视化由三维血管造影数据集表示的血管结构的系统(500)。 各个体素值与相应的体素相关联。 数据集表示血管结构。 该系统包括用于建立相应填充值的装置(502) 用于识别相应的最小填充值的装置(504); 用于计算各个不足值的装置(506); 以及用于根据不足值提供可视化的输出(514)。 相应的填充值表示血管结构中各个位置处的血流量。 相应的最小填充值是与相应位置的上游位置相关联的填充值的最小值。 相应的缺陷值表示与各个位置相关联的填充值与与各个位置相关联的最小填充值之间的差异。