专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

31. 发明授权

US07489313B2 Method of segmenting a three-dimensional data set allowing user corrections 有权
标题翻译：分割允许用户更正的三维数据集的方法
公开(公告)号：US07489313B2
公开(公告)日：2009-02-10
申请号：US10537883
申请日：2003-12-05
申请人： Michael Kaus , Holger Timinger , Vladimir Pekar
发明人： Michael Kaus , Holger Timinger , Vladimir Pekar
IPC分类号： G06T15/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10081 , G06T2207/20092 , G06T2207/30012
摘要： The invention relates to a method of segmenting a three-dimensional structure from a three-dimensional, and in particular medical, data set while making allowance for user corrections. The method is performed with the help of a deformable three-dimensional model whose surface is formed by a network of nodes and mashes that connect these nodes. Once the model has been positioned at the point in the three-dimensional data set at which the structure to be segmented is situated and positions of nodes have, if necessary, been changed by known methods of segmentation, any desired nodes can be displaced manually. The nodes of the model are re-calculated by making weighted allowance for the nodes that have been displaced manually.
摘要翻译：本发明涉及一种从三维特别医疗数据集中分割三维结构同时允许用户校正的方法。该方法借助于可变形的三维模型来执行，该模型的表面由连接这些节点的节点和捣碎网络形成。一旦模型已经被定位在要被分割的结构位于的三维数据集中的位置，并且如果需要，节点的位置已经被已知的分割方法改变，任何期望的节点可以手动移位。通过对已经手动移位的节点进行加权限制来重新计算模型的节点。

32. 发明授权

US07440609B2 Method of segmenting a three-dimensional structure 有权
标题翻译：分割三维结构的方法
公开(公告)号：US07440609B2
公开(公告)日：2008-10-21
申请号：US10542094
申请日：2003-12-15
申请人： Jens Von Berg , Vladimir Pekar , Michael Kaus , Olivier Gerard , Jean-Michel Rouet , Sherif Makram-Ebeid , Maxim Fradkin
发明人： Jens Von Berg , Vladimir Pekar , Michael Kaus , Olivier Gerard , Jean-Michel Rouet , Sherif Makram-Ebeid , Maxim Fradkin
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/30008 , G06T2207/30048
摘要： The invention relates to a method for segmentation of a three-dimensional structure in a three-dimensional data set, especially a medical data set. The method uses a three-dimensional deformable model, wherein the surface of the model consists of a net of polygonal meshes. The meshes are split into groups, and a feature term is assigned to each group. After the model has been placed over the structure of interest, the deformable model is recalculated in consideration of the feature terms of each group.
摘要翻译：本发明涉及三维数据集，特别是医学数据集中三维结构分割的方法。该方法使用三维可变形模型，其中模型的表面由多边形网格网组成。网格被分成组，并且将特征项分配给每个组。在将模型放置在感兴趣的结构之后，考虑到每个组的特征项，重新计算可变形模型。

33. 发明授权

US07010164B2 Image segmentation 有权
公开(公告)号：US07010164B2
公开(公告)日：2006-03-07
申请号：US10091049
申请日：2002-03-05
申请人： Juergen Weese , Vladimir Pekar , Michael Kaus
发明人： Juergen Weese , Vladimir Pekar , Michael Kaus
IPC分类号： G06K9/34
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/30012
摘要： A method of segmenting a selected region from a multi-dimensional dataset, which method comprises the steps of setting up a shape model representing the general outline of the selected region and setting up an adaptive mesh. The adaptive mesh represents an approximate contour of the selected region. The adaptive mesh is initialized on the basis of the shape model. Furthermore, the adaptive mesh is deformed in dependence on the shape model and on feature information of the selected region.

34. 发明授权

US09087259B2 Organ-specific enhancement filter for robust segmentation of medical images 有权
标题翻译：器官专用增强滤波器，用于医疗图像的鲁棒分割
公开(公告)号：US09087259B2
公开(公告)日：2015-07-21
申请号：US13812057
申请日：2011-07-25
申请人： Vladimir Pekar , Arish A. Qazi
发明人： Vladimir Pekar , Arish A. Qazi
IPC分类号： G06K9/34 , G06T7/00
CPC分类号： G06K9/34 , G01R33/5608 , G06T7/0012 , G06T7/143 , G06T7/149 , G06T2207/10072 , G06T2207/10081 , G06T2207/10104 , G06T2207/10108 , G06T2207/10136 , G06T2207/20076 , G06T2207/20081 , G06T2207/30004
摘要： An imager (10) and a reconstruction processor (12) generate an intensity image (14). A region containing a target volume is identified (20) and limited (24). A classifier (30) operates on the voxels in the limited volume with an enhancement filter to generate an enhanced image, such as an image whose voxel values represent a probability that each voxel is in the target volume. A segmentation processor (40) segments the enhanced image to identify the surface of the target volume to generate a segmented image which is displayed on a monitor (52) or used in a radiation therapy planning system (54).
摘要翻译：成像器（10）和重建处理器（12）产生强度图像（14）。识别包含目标体积的区域（20）并限制（24）。分类器（30）通过增强滤波器对有限体积中的体素进行操作以生成增强图像，例如其体素值表示每个体素在目标体积中的概率的图像。分割处理器（40）分割增强图像以识别目标体积的表面以产生显示在监视器（52）上或在放射治疗计划系统（54）中使用的分割图像）。

35. 发明申请

US20130121549A1 ORGAN-SPECIFIC ENHANCEMENT FILTER FOR ROBUST SEGMENTATION OF MEDICAL IMAGES 有权
标题翻译：有机特异性增强过滤器用于医疗图像的稳健分割
公开(公告)号：US20130121549A1
公开(公告)日：2013-05-16
申请号：US13812057
申请日：2011-07-25
申请人： Vladimir Pekar , Arish A. Qazi
发明人： Vladimir Pekar , Arish A. Qazi
IPC分类号： G06K9/34
CPC分类号： G06K9/34 , G01R33/5608 , G06T7/0012 , G06T7/143 , G06T7/149 , G06T2207/10072 , G06T2207/10081 , G06T2207/10104 , G06T2207/10108 , G06T2207/10136 , G06T2207/20076 , G06T2207/20081 , G06T2207/30004
摘要： An imager (10) and a reconstruction processor (12) generate an intensity image (14). A region containing a target volume is identified (20) and limited (24). A classifier (30) operates on the voxels in the limited volume with an enhancement filter to generate an enhanced image, such as an image whose voxel values represent a probability that each voxel is in the target volume. A segmentation processor (40) segments the enhanced image to identify the surface of the target volume to generate a segmented image which is displayed on a monitor (52) or used in a radiation therapy planning system (54).
摘要翻译：成像器（10）和重建处理器（12）产生强度图像（14）。识别包含目标体积的区域（20）并限制（24）。分类器（30）通过增强滤波器对有限体积中的体素进行操作以生成增强图像，例如其体素值表示每个体素在目标体积中的概率的图像。分割处理器（40）分割增强图像以识别目标体积的表面以产生显示在监视器（52）上或在放射治疗计划系统（54）中使用的分割图像）。

36. 发明申请

US20120027277A1 INTERACTIVE ITERATIVE CLOSEST POINT ALGORITHM FOR ORGAN SEGMENTATION 审中-公开
标题翻译：用于组织分类的交互迭代闭点算法
公开(公告)号：US20120027277A1
公开(公告)日：2012-02-02
申请号：US13262708
申请日：2010-03-02
申请人： Torbjoern Vik , Daniel Bystrov , Roland Opfer , Vladimir Pekar
发明人： Torbjoern Vik , Daniel Bystrov , Roland Opfer , Vladimir Pekar
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10072 , G06T2207/20101 , G06T2207/20116 , G06T2207/30004
摘要： A system and method for segmenting an image of an organ. The system and method including selecting a surface model of the organ, selecting a plurality of points on a surface of an image of the organ and transforming the surface model to the plurality of points on the image.
摘要翻译：用于分割器官的图像的系统和方法。所述系统和方法包括选择器官的表面模型，在器官的图像的表面上选择多个点，并将表面模型转换成图像上的多个点。

37. 发明申请

US20080205719A1 Method of Model-Based Elastic Image Registration For Comparing a First and a Second Image 审中-公开
标题翻译：用于比较第一和第二图像的基于模型的弹性图像配准的方法
公开(公告)号：US20080205719A1
公开(公告)日：2008-08-28
申请号：US11917155
申请日：2006-06-14
申请人： Vladimir Pekar , Ingwer-Curt Carlsen
发明人： Vladimir Pekar , Ingwer-Curt Carlsen
IPC分类号： G06K9/00
CPC分类号： G06T3/0081 , G06T7/33 , G06T2207/30004
摘要： The invention aims at improving the point-based elastic registration paradigm. Point-based elastic registration is typically carried out by finding corresponding point landmarks (2, 4) in both images and using the point correspondences as constraints to interpolate the global displacement field. A limitation of this approach is that it only ensures the correspondences between structures where point landmarks (2, 4) can be identified. Alternative concepts are limited by high computational costs for optimization. The concept of the invention provides a method and a system (1) wherein additional deformation field constraints are imposed by: partitioning (PART (IS, IT)) one or more restricted structures corresponding in the first (3) and the second (5) image and imposing additional constraints (fAddpart) derived from a-priori-knowledge to the one or more restricted structures. Preferred examples are i) pairs of interactively defined point landmarks (25), ii) landmarks resulting from automatic identification of corresponding structures in form of a line (23) or an area (27) or a form or a boundary (29, FIG. 3) thereof, iii) different material properties (tissue1, tissue2) of corresponding structures, iv) physiological constraints establishing more general correspondences.
摘要翻译：本发明旨在改进基于点的弹性登记范例。基于点的弹性配准通常通过在两个图像中找到对应的点地标（2,4）并且使用点对应作为内插全局位移场的约束来执行。这种方法的局限性在于，它只能确保可以识别点地标（2,4）的结构之间的对应关系。替代的概念受到优化的高计算成本的限制。本发明的概念提供了一种方法和系统（1），其中通过以下方式来施加附加的变形场约束：一个或多个分割（一个或多个）在第一（3）和第二（5）图像中对应的更受限制的结构，并且从先验知识导出的附加约束（f ^{添加部分）到一个或更多受限的结构。优选示例是i）交互式定义的点地标对（25），ii）以线（23）或区域（27）或形式或边界（29，}

38. 发明授权

US07356173B2 Analysis of pulmonary CT data 有权
标题翻译：肺CT数据分析
公开(公告)号：US07356173B2
公开(公告)日：2008-04-08
申请号：US10560321
申请日：2004-05-08
申请人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
发明人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： Ground glass opacities in the lung are non-solid nebular-like shadows in the parenchyma tissue of the lung, which may be precursors of a lung cancer. According to the present invention, ground glass opacities may automatically be determined on the basis of a texture analysis of the parenchyma. Advantageously, according to the present invention, a robust and reliable determination of ground glass opacities may be provided, even if vessels, lung walls, airspace or bronchi walls are present within the local neighborhood of the ground glass opacity.
摘要翻译：肺中的玻璃不透明度是肺实质组织中非固体的星状样阴影，可能是肺癌的前体。根据本发明，可以根据实质的纹理分析自动确定研磨玻璃的不透明度。有利地，根据本发明，即使在玻璃不透明度的局部邻域内存在容器，肺壁，空气或支气管壁，也可以提供坚实可靠的磨玻璃不透明度测定。

39. 发明授权

US09659364B2 Probabilistic refinement of model-based segmentation 有权
公开(公告)号：US09659364B2
公开(公告)日：2017-05-23
申请号：US13581512
申请日：2011-02-14
申请人： Vladimir Pekar , Arish A. Qazi
发明人： Vladimir Pekar , Arish A. Qazi
IPC分类号： G06K9/00 , G06T7/00 , G06T7/143
CPC分类号： G06T7/0012 , G06T7/143 , G06T2207/10072 , G06T2207/20128
摘要： A system for segmenting current diagnostic images includes a workstation (30) which segments a volume of interest in previously generated diagnostic images of a selected volume of interest generated from a plurality of patients. One or more processors (32) are programmed to register the segmented previously generated images and merge the segmented previously generated images into a probability map that depicts a probability that each voxel represents the volume of interest (24) or background (26) and a mean segmentation boundary (40). A segmentation processor (50) registers the probability map with a current diagnostic image (14) to generate a transformed probability map (62). A previously-trained classifier (70) classifies voxels of the diagnostic image with a probability that each voxel depicts the volume of interest or the background. A merge processor (80) merges the probabilities from the classifier and the transformed probability map. A segmentation boundary processor (84) determines the segmentation boundary for the volume of interest based on the current image based on the merge probabilities.

40. 发明申请

US20120035463A1 AUTOMATED ANATOMY DELINEATION FOR IMAGE GUIDED THERAPY PLANNING 有权
标题翻译：自动化解剖图像指导治疗计划
公开(公告)号：US20120035463A1
公开(公告)日：2012-02-09
申请号：US13260735
申请日：2010-03-02
申请人： Vladimir Pekar , Daniel Bystrov
发明人： Vladimir Pekar , Daniel Bystrov
IPC分类号： A61B5/055 , A61N5/00 , A61N7/00 , A61B6/03
CPC分类号： A61N5/103 , G06F19/3481 , G16H20/40 , G16H30/20
摘要： When delineating anatomical structures in a medical image of a patient for radiotherapy planning, a processor (18) detects landmarks (24) in a low-resolution image (e.g., MRI or low-dose CT) and maps the detected landmarks to reference landmarks (28) in a reference contour of the anatomical structure. The mapped landmarks facilitate adjusting the reference contour to fit the anatomical structure. The adjusted reference contour data is transformed and applied to a second image using a thin-plate spline, and the adjusted high-resolution image is used for radiotherapy planning.
摘要翻译：当描绘用于放射治疗规划的患者的医学图像中的解剖结构时，处理器（18）以低分辨率图像（例如，MRI或低剂量CT）检测地标（24），并将检测到的地标映射到参考地标（ 28）在解剖结构的参考轮廓中。映射的标记有助于调整参考轮廓以适应解剖结构。使用薄板样条将调整后的参考轮廓数据变换并应用于第二图像，并且将调整后的高分辨率图像用于放射治疗计划。

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