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    • 21. 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。
    • 25. 发明申请
    • SYNOPSIS OF MULTIPLE SEGMENTATION RESULTS FOR BREAST LESION CHARACTERIZATION
    • 关于乳腺切片特征的多重分期结果概述
    • US20110229004A1
    • 2011-09-22
    • US13131140
    • 2009-11-16
    • Thomas BuelowRafael WiemkerMartin BergholdtLina Arbash Meinel
    • Thomas BuelowRafael WiemkerMartin BergholdtLina Arbash Meinel
    • G06K9/00
    • G06T7/0012G06T7/136G06T2207/10096G06T2207/30096
    • When characterizing a tumor or lesion as malignant or benign, a system (10) receives an image of the lesion volume (50), employs a processor (12) to perform a raw segmentation of the image, the results of which are stored to memory (14). Then processor then executes a hole-filling procedure to fill in dark areas in the image of the lesion representing necrotic tissue that absorbed little or no contrast agent, and optionally a leakage removal procedure to remove image voxels associated with non-lesion tissue, e.g., blood vessels, in which the contrast agent was present during imaging, to generate a complete lesion volume. A voxel analyzer (18) assesses a number of voxels included in the raw segmentation of the lesion image, and the final segmentation (e.g., after filling and optional leakage removal). A segmentation comparator (20) computes a ratio of dark area voxels related to necrotic tissue detected after the raw segmentation to total voxels detected in the final image segmentation. The ratio is then used to determine a likelihood of malignancy, with a higher ratio indicating a higher likelihood.
    • 当将肿瘤或病变描绘为恶性或良性时,系统(10)接收病变体积(50)的图像,使用处理器(12)执行图像的原始分割,其结果存储到存储器 (14)。 然后,处理器然后执行填充填充程序以填充代表坏死组织的损伤图像中的暗区域,其吸收很少或没有造影剂,以及可选地泄漏去除程序以去除与非损伤组织相关联的图像体素, 在成像期间存在造影剂的血管,以产生完整的病变体积。 体素分析器(18)评估包括在损伤图像的原始分割中的多个体素,以及最终分割(例如在填充和可选的泄漏移除之后)。 分割比较器(20)计算与原始分割之后检测到的坏死组织相关的暗区域体素与在最终图像分割中检测到的总体素的比率。 然后将该比率用于确定恶性肿瘤的可能性,其中较高的比率表明更高的可能性。
    • 26. 发明申请
    • RENDERING A VIEW FROM AN IMAGE DATASET
    • 从图像数据库渲染视图
    • US20100149214A1
    • 2010-06-17
    • US12063111
    • 2006-08-10
    • Rafael WiemkerThomas BuelowThomas Blaffert
    • Rafael WiemkerThomas BuelowThomas Blaffert
    • G09G5/00
    • G06T19/00G06T2210/41G06T2219/008
    • The invention relates to a rendering system (100) for rendering a view from an image dataset, the rendering system comprising a selecting unit (110) for selecting a subset of the image dataset, a computing unit (120) for computing a first principal axis of a tensor on the basis of the subset of the image dataset, and a rendering unit (130) for rendering the view on the basis of the first principal axis. Using the information about the directionality and orientation of a structure, comprised in the selected subset of the image dataset and extracted from the first principal axis of the tensor, the rendering system (100) is arranged to effectively assist the user in selecting an advantageous view from the image dataset.
    • 本发明涉及一种用于从图像数据集呈现视图的渲染系统(100),所述绘制系统包括用于选择所述图像数据集的子集的选择单元(110),用于计算第一主轴的计算单元(120) 基于所述图像数据集的子集的张量,以及用于基于所述第一主轴渲染所述视图的渲染单元(130)。 使用包括在所述图像数据集的所选择的子集中并从所述张量的所述第一主轴提取的结构的方向性和取向的信息,所述呈现系统(100)被布置为有效地帮助所述用户选择有利视图 从图像数据集。
    • 27. 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)。
    • 29. 发明授权
    • Quantitative perfusion analysis
    • 定量灌注分析
    • US09406146B2
    • 2016-08-02
    • US13380610
    • 2010-06-23
    • Rafael WiemkerThomas Buelow
    • Rafael WiemkerThomas Buelow
    • G06K9/00G06T7/40G06T7/20G06T7/00
    • G06T7/401G06T7/0016G06T7/20G06T7/41G06T2207/10096G06T2207/20104G06T2207/30104
    • A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.
    • 公开了一种用于定量分析包括具有与其相关联的强度值的图像元素的灌注图像的系统。 该系统包括用于计算至少部分图像的强度值的多个频率分布的频率分布计算子系统(1)。 该系统包括用于从多个频率分布中提取与灌注相关的信息的灌注信息提取器(2)。 灌注信息提取器(2)包括用于检测频率分布的强度值的偏移的移位检测器(3)。 灌注信息提取器(2)被布置为基于检测到的移位来提取与灌注有关的信息。 用户界面元件(8)使得用户能够通过单个自由度来指示核心区域和边缘区域之间的边界。 容器子系统(9)将容器值与图像元素相关联。
    • 30. 发明授权
    • Segmenting pulmonary arteries
    • 分段肺动脉
    • US08805044B2
    • 2014-08-12
    • US12937289
    • 2009-04-14
    • Thomas BuelowRafael Wiemker
    • Thomas BuelowRafael Wiemker
    • G06K9/00
    • G06T7/162G06T7/33G06T2207/10081G06T2207/20016G06T2207/20072G06T2207/30061G06T2207/30101
    • A method of identifying at least part of a pulmonary artery tree (402) comprises receiving (102) a bronchial tree structure (500) and receiving (104) a pulmonary vessel structure (400). A pair of a first bronchial segment (602) and a first vessel segment (604) is identified (106), wherein the first bronchial segment and the first vessel segment are adjacent with respect to position and orientation. The first vessel segment is identified (108) as arterial segment of the pulmonary artery tree. A spatial transformation is applied (110) such that the first bronchial segment and the first vessel segment substantially coincide (602′). Respective further vessel segments (606, 608) are identified (112) adjacent to bronchial segments (610, 612), wherein the bronchial segments are comprised in the bronchial tree.
    • 识别肺动脉树(402)的至少一部分的方法包括接收(102)支气管树结构(500)并接收(104)肺血管结构(400)。 识别出一对第一支气管段(602)和第一血管段(604)(106),其中第一支气管区段和第一血管区段相对于位置和取向相邻。 识别第一血管段(108)作为肺动脉树的动脉段。 应用空间变换(110)使得第一支气管段和第一血管段基本上重合(602')。 识别与支气管段(610,612)相邻的另外的血管段(606,608),其中支气管段包括在支气管树中。