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    Data representation for rtp
    21.
    发明授权
    Data representation for rtp 有权
    rtp的数据表示

    公开(公告)号：US08260013B2

    公开(公告)日：2012-09-04

    申请号：US11719781

    申请日：2005-11-04

    申请人： Vladimir Pekar ,  Michael Kaus ,  Ingwer C. Carlsen ,  Todd R. McNutt ,  R. Keith Tipton

    发明人： Vladimir Pekar ,  Michael Kaus ,  Ingwer C. Carlsen ,  Todd R. McNutt ,  R. Keith Tipton

    IPC分类号： G06K9/00

    CPC分类号： A61B6/032 ,  A61B6/4417 ,  A61B6/5235 ,  A61B8/13 ,  A61B8/4416 ,  A61N5/103 ,  A61N5/1039 ,  G01T1/1611 ,  G06T7/33 ,  G06T2207/30004

    摘要： An imaging system (10) includes imaging modalities such as a PET imaging system (12) and a CT scanner (14). The CT scanner (14) is used to produce a first image (62) which is used for primary contouring. The PET system (12) is used to provide a second image (56), which provides complementary information about the same or overlapping anatomical region. After first and second images (62, 56) are registered with one another the first and second images (62, 56) are concurrently segmented to outline a keyhole (76). The keyhole portion of the second image (56) is inserted into the keyhole (76) of the first image (62). The user can observe the composite image and deform a boundary (78) of the keyhole (76) by a mouse (52) to better focus on the region of interest within previously defined keyhole.

    摘要翻译： 成像系统（10）包括诸如PET成像系统（12）和CT扫描仪（14）之类的成像模式。 CT扫描器（14）用于产生用于初级轮廓的第一图像（62）。 PET系统（12）用于提供第二图像（56），其提供关于相同或重叠解剖区域的补充信息。 在第一和第二图像（62,56）之间彼此对准之后，第一和第二图像（62,56）被同时分割以勾勒一个键孔（76）。 第二图像（56）的锁孔部分插入第一图像（62）的键孔（76）中。 用户可以观察合成图像并且通过鼠标（52）使键孔（76）的边界（78）变形以更好地聚焦在先前定义的键孔内的感兴趣区域上。

    Method of accounting for tumor motion in radiotherapy treatment
    23.
    发明授权
    Method of accounting for tumor motion in radiotherapy treatment 有权
    放射治疗肿瘤移动计算方法

    公开(公告)号：US07596207B2

    公开(公告)日：2009-09-29

    申请号：US11995337

    申请日：2006-07-10

    申请人： Michael Kaus ,  Vladimir Pekar ,  Todd Mcnutt

    发明人： Michael Kaus ,  Vladimir Pekar ,  Todd Mcnutt

    IPC分类号： A61N5/10 ,  G01N23/04

    CPC分类号： A61N5/103 ,  A61N5/1037 ,  A61N5/1038 ,  A61N5/1065 ,  A61N2005/1061

    摘要： A method and apparatus accounting for tumor motion during radiation therapy is provided. The method allows for radiation therapy treatments based on updated radiation therapy plans. For each fractionate radiation treatment that results in an updated radiation treatment, radiation treatment images are acquired, automatically segmented, and then subject to deformable registration to develop updated contours and an updated radiation therapy plan.

    摘要翻译： 提供了放射治疗期间肿瘤移动的方法和装置。 该方法允许基于更新的放射治疗计划的放射治疗治疗。 对于导致更新的辐射治疗的每个分级放射治疗，获取放射治疗图像，自动分割，然后进行变形注册以开发更新的轮廓和更新的放射治疗计划。

    Method of Model-Based Elastic Image Registration For Comparing a First and a Second Image
    24.
    发明申请
    Method of Model-Based Elastic Image Registration For Comparing a First and a Second Image 审中-公开
    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，

    Analysis of pulmonary CT data
    25.
    发明授权
    Analysis of pulmonary CT data 有权
    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。

    Image segmentation in time-series images
    27.
    发明申请
    Image segmentation in time-series images 审中-公开
    时间序列图像中的图像分割

    公开(公告)号：US20060147114A1

    公开(公告)日：2006-07-06

    申请号：US10560636

    申请日：2004-06-07

    申请人： Michael Kaus ,  Vladimir Pekar

    发明人： Michael Kaus ,  Vladimir Pekar

    IPC分类号： G06K9/34

    CPC分类号： G06T17/20 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30004

    摘要： The basic principle of deformable models consists of the adaptation of flexible surfaces, such as triangular meshes to structures in the image. The optimal adaptation of an initial mesh is solved by energy minimization, where maintaining the shape of a geometric model is traded off against detected feature points of the surface of the structure in the image. According to the present invention, a prior shape model M(t) is combined with adaptation results S(t−1) of a previous image. Advantageously, this provides for a robust segmentation of moving or deforming objects.

    摘要翻译： 可变形模型的基本原理包括柔性表面的适应，如三角形网格与图像中的结构。 通过能量最小化来解决初始网格的最佳适应性，其中保持几何模型的形状抵消图像中结构表面的检测特征点。 根据本发明，将先前形状模型M（t）与先前图像的适应结果S（t-1）组合。 有利地，这提供了运动或变形物体的鲁棒分割。

    Probabilistic refinement of model-based segmentation
    28.
    发明授权
    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.

    INTERACTIVE ATLAS TO IMAGE REGISTRATION
    30.
    发明申请
    INTERACTIVE ATLAS TO IMAGE REGISTRATION 有权
    互动式图像注册

    公开(公告)号：US20100286995A1

    公开(公告)日：2010-11-11

    申请号：US12670541

    申请日：2008-07-11

    申请人： Vladimir Pekar ,  Torbjoern Vik ,  Heinrich Schulz ,  David Jaffray

    发明人： Vladimir Pekar ,  Torbjoern Vik ,  Heinrich Schulz ,  David Jaffray

    IPC分类号： G06T15/00 ,  G06Q50/00

    CPC分类号： G06Q50/22 ,  G06F19/00 ,  G06T7/12 ,  G06T7/149 ,  G06T7/33 ,  G06T19/00 ,  G06T2200/24 ,  G06T2207/20101 ,  G06T2207/30004 ,  G06T2210/41

    摘要： When modeling anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of predesigned anatomical structure models can be accessed, and model of one or more such structures can be selected and overlaid on an a 3D image of corresponding structure(s) in a clinic image of a patient. A user can click and drag a cursor on the model to deform the model to align with the clinical image. Additionally, a processor (16) can generate a volumetric deformation function using splines, parametric techniques, or the like, and can deform the model to fit the image in real time, in response to user manipulation of the model.

    摘要翻译： 当对病人的解剖结构进行建模以进行诊断或治疗计划时，可以访问预先设计的解剖结构模型的图集（26），并且可以选择一个或多个这样的结构的模型并覆盖在对应结构的3D图像上 ）在患者的诊所图像中。 用户可以单击并拖动模型上的光标，使模型变形以与临床图像对齐。 另外，处理器（16）可以使用样条曲线，参数技术等来产生体积变形函数，并且可以响应于模型的用户操纵而实时变形模型以适合图像。