专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20110229004A1 SYNOPSIS OF MULTIPLE SEGMENTATION RESULTS FOR BREAST LESION CHARACTERIZATION 有权
标题翻译：关于乳腺切片特征的多重分期结果概述
公开(公告)号：US20110229004A1
公开(公告)日：2011-09-22
申请号：US13131140
申请日：2009-11-16
申请人： Thomas Buelow , Rafael Wiemker , Martin Bergholdt , Lina Arbash Meinel
发明人： Thomas Buelow , Rafael Wiemker , Martin Bergholdt , Lina Arbash Meinel
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/136 , G06T2207/10096 , G06T2207/30096
摘要： 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.
摘要翻译：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。

22. 发明授权

US07970189B2 Method of automatic extraction of the pulmonary artery tree from 3D medical images 有权
标题翻译：从3D医学图像自动提取肺动脉树的方法
公开(公告)号：US07970189B2
公开(公告)日：2011-06-28
申请号：US11815662
申请日：2006-02-06
申请人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
发明人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10081 , G06T2207/20044 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： An automated method (1) for the automatic extraction of a pulmonary vessel tree from a 3D medical image, such as multi-slice CT data, is disclosed. A segmented pulmonary vessel is identified as either an artery or a vein by determining a measure for arterialness for the vessel. The measure is based on a relation of the orientation of a local bronchus to the orientation of the segmented pulmonary vessel of the local bronchus. When a vessel is identified as a pulmonary artery, it is added to the pulmonary artery tree. Radii of the pulmonary artery and bronchus are measured automatically and positions where a ratio of these radii exhibits unusual values are presented in a display, preferably for suggesting further assessment by a radiologist, which for instance is useful for pulmonary embolism detection.
摘要翻译：公开了一种用于从诸如多层CT数据的3D医学图像自动提取肺血管树的自动化方法（1）。通过确定血管动脉的测量，将分段的肺血管识别为动脉或静脉。该措施基于局部支气管的取向与局部支气管的分段肺血管的取向的关系。当血管被识别为肺动脉时，将其加入肺动脉树。自动测量肺动脉和支气管的半径，并且在显示中呈现这些半径的比率显示出异常值的位置，优选用于暗示例如用于肺栓塞检测的放射科医师的进一步评估。

23. 发明申请

US20110150176A1 IMAGE PROCESSING WITH COMPUTER AIDED DETECTION AND/OR DIAGNOSIS 审中-公开
标题翻译：具有计算机辅助检测和/或诊断的图像处理
公开(公告)号：US20110150176A1
公开(公告)日：2011-06-23
申请号：US12675809
申请日：2008-09-05
申请人： Thomas Koehler , Rafael Wiemker
发明人： Thomas Koehler , Rafael Wiemker
IPC分类号： A61B6/03 , G06T7/00
CPC分类号： G06T7/0012 , G06T11/008 , G06T2207/10072 , G06T2207/30064
摘要： The invention relates to a method and an image processing device (10) for the evaluation of image raw-data of a body region generated with an imaging device like a CT scanner (30). From the image raw-data, a first image (ICAD) is reconstructed with a reconstruction module (12) according to reconstruction parameters (p) set optimally by a computer aided detection and/or diagnosis (CAD) module (13). This module can then evaluate an image (ICAD) that was reconstructed optimally according to its own requirements, for example with respect to image size and/or resolution, to find features of interest.
摘要翻译：本发明涉及一种用于评估由诸如CT扫描仪（30）的成像装置生成的身体区域的图像原始数据的方法和图像处理装置（10）。根据图像原始数据，根据由计算机辅助检测和/或诊断（CAD）模块（13）最佳设置的重建参数（p），利用重建模块（12）重建第一图像（ICAD）。然后，该模块可以根据其自己的要求（例如关于图像尺寸和/或分辨率）评估被最优化地重建的图像（ICAD），以找到感兴趣的特征。

24. 发明申请

US20110051885A1 SEGMENTING PULMONARY ARTERIES 有权
标题翻译：分离脉搏动脉
公开(公告)号：US20110051885A1
公开(公告)日：2011-03-03
申请号：US12937289
申请日：2009-04-14
申请人： Thomas B. Buelow , Rafael Wiemker
发明人： Thomas B. Buelow , Rafael Wiemker
IPC分类号： A61B6/03 , G06K9/00
CPC分类号： G06T7/162 , G06T7/33 , G06T2207/10081 , G06T2207/20016 , G06T2207/20072 , G06T2207/30061 , G06T2207/30101
摘要： 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.
摘要翻译：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。

25. 发明申请

US20100149214A1 RENDERING A VIEW FROM AN IMAGE DATASET 有权
标题翻译：从图像数据库渲染视图
公开(公告)号：US20100149214A1
公开(公告)日：2010-06-17
申请号：US12063111
申请日：2006-08-10
申请人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
发明人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
IPC分类号： G09G5/00
CPC分类号： G06T19/00 , G06T2210/41 , G06T2219/008
摘要： 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.
摘要翻译：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。

26. 发明授权

US07636484B2 Method for the selective rendering of body structures 有权
标题翻译：选择性渲染身体结构的方法
公开(公告)号：US07636484B2
公开(公告)日：2009-12-22
申请号：US10533648
申请日：2003-11-12
申请人： Thomas Blaffert , Rafael Wiemker
发明人： Thomas Blaffert , Rafael Wiemker
IPC分类号： G06K9/40 , G06K9/00 , G06K9/70 , G06K9/44 , G06T5/00
CPC分类号： G06K9/469 , G06K2209/05 , G06T7/11 , G06T17/005 , G06T19/20 , G06T2207/10081 , G06T2207/20152 , G06T2207/30008 , G06T2207/30101 , G06T2210/41 , G06T2219/2012
摘要： A method provided for the formation of a selective rendering of body structures of an object to be examined from a primary image data set. The method provides a simple and fast selection or deselection of given body structures. The method comprises the following steps: forming at least one pixel group (BG1-BG16) which comprises pixels from the primary data set which are in conformity with predetermined filter criteria, forming at least one pixel list by selection and/or deselection of at least one pixel group in conformity with predetermined criteria, marking the pixels of the pixel groups of the at least one pixel list, forming a filtered secondary image data set which includes the marked pixels, and forming the rendering from the secondary image data set, the marked pixels being separately rendered in highlighted or suppressed form.
摘要翻译：一种提供用于从主图像数据集形成要检查的对象的身体结构的选择性渲染的方法。该方法提供给定身体结构的简单且快速的选择或取消选择。该方法包括以下步骤：形成至少一个像素组（BG1-BG16），其包括来自主数据集的符合预定过滤标准的像素，通过至少选择和/或取消选择形成至少一个像素列表符合预定标准的一个像素组，标记所述至少一个像素列表的像素组的像素，形成包括标记像素的滤波次级图像数据集，以及从次要图像数据集合形成渲染，标记像素以突出显示或抑制形式单独渲染。

27. 发明申请

US20090177444A1 AUTOMATED HIERARCHICAL SPLITTING OF ANATOMICAL TREES 有权
标题翻译：解剖学自动分层分割
公开(公告)号：US20090177444A1
公开(公告)日：2009-07-09
申请号：US12304784
申请日：2007-06-11
申请人： Rafael Wiemker , Thomas Buelow , Roland Opfer
发明人： Rafael Wiemker , Thomas Buelow , Roland Opfer
IPC分类号： G06F17/50 , G06F19/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T2207/10072 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： 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.
摘要翻译：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）。

28. 发明授权

US08934697B2 Image processing apparatus 有权
标题翻译：图像处理装置
公开(公告)号：US08934697B2
公开(公告)日：2015-01-13
申请号：US13988770
申请日：2011-11-22
申请人： Rafael Wiemker , Thomas Buelow , Martin Bergtholdt , Kirsten Meetz , Ingwer-Curt Carlsen
发明人： Rafael Wiemker , Thomas Buelow , Martin Bergtholdt , Kirsten Meetz , Ingwer-Curt Carlsen
IPC分类号： G06K9/00 , G06K9/32 , G06T11/60 , G06T11/00
CPC分类号： G06T11/60 , G06T11/00
摘要： Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second input image, and the rendering unit being further configured for rendering the residual image in the output image by using a second mapping function for representing the residual values in the vectors of output values, the second mapping function being different from the first mapping function for distinguishing the residual image from the first input image.
摘要翻译：用于在输出图像（108）中创建第一输入图像（101）和第二输入图像（102）的叠加呈现的图像处理装置（100），所述第一输入图像包括输入值，所述输出图像包括输出矢量值，表示输出图像的颜色的输出值的矢量，以及包括用于获得第一输入放映图像和第二输入图像的输入（110）的装置，被配置为将第一输入图像呈现在通过使用用于表示输出值的向量中的输入值的第一映射函数的输出图像，配置用于从第一输入图像预测第二输入图像以获得预测的第二输入图像的预测器（120），剩余计算器（130），被配置为从所述第二输入图像和所述预测的第二输入图像计算残差图像（106），所述残差图像包括表示预测误差的残差值所述预测的第二输入图像和所述绘制单元还被配置为通过使用用于表示所述输出值的向量中的残差的第二映射函数来呈现所述输出图像中的残差图像，所述第二映射函数不同于所述第一映射用于区分残差图像与第一输入图像的功能。

29. 发明授权

US08526697B2 Apparatus for segmenting an object comprising sub-objects 有权
标题翻译：用于分割包括子对象的对象的装置
公开(公告)号：US08526697B2
公开(公告)日：2013-09-03
申请号：US12867522
申请日：2009-02-06
申请人： Thomas Blaffert , Hans Barschdorf , Jens Von Berg , Sebastian Peter Michael Dries , Cristian Lorenz , Rafael Wiemker , Tobias Klinder , Astrid Ruth Franz , Steffen Renisch
发明人： Thomas Blaffert , Hans Barschdorf , Jens Von Berg , Sebastian Peter Michael Dries , Cristian Lorenz , Rafael Wiemker , Tobias Klinder , Astrid Ruth Franz , Steffen Renisch
IPC分类号： G06K9/00
CPC分类号： G06T5/003 , G06T7/11 , G06T7/149 , G06T2207/10081 , G06T2207/20041 , G06T2207/20081 , G06T2207/20124 , G06T2207/20192 , G06T2207/30061
摘要： The present invention relates to an apparatus (1) for segmenting an object comprising sub-objects shown in an object image. The apparatus comprises a feature image generation unit (2) for generating a feature image showing features related to intermediate regions between the sub-objects and a segmentation unit (3) for segmenting the sub-objects by using the object image and the feature image. Preferentially, the feature image generation unit (2) is adapted for generating a feature image from the object image. In a further embodiment, the feature image generation unit (2) comprises a feature enhancing unit for enhancing features related to intermediate regions between the sub-objects in the object image.
摘要翻译：本发明涉及一种用于分割包含物体图像中所示的子对象的物体的装置（1）。该装置包括：特征图像生成单元，用于生成显示与子对象之间的中间区域相关的特征的特征图像和用于通过使用对象图像和特征图像来分割子对象的分割单元（3）。优选地，特征图像生成单元（2）适于从对象图像生成特征图像。在另一实施例中，特征图像生成单元（2）包括特征增强单元，用于增强与对象图像中的子对象之间的中间区域相关的特征。

30. 发明授权

US08315963B2 Automated hierarchical splitting of anatomical trees 有权
标题翻译：解剖树自动分层分裂
公开(公告)号：US08315963B2
公开(公告)日：2012-11-20
申请号：US12304784
申请日：2007-06-11
申请人： Rafael Wiemker , Thomas Buelow , Roland Opfer
发明人： Rafael Wiemker , Thomas Buelow , Roland Opfer
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T2207/10072 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： 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.
摘要翻译：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）。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式