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    INTERACTIVE COMPUTER-AIDED EDITOR FOR COMPENSATORS USED IN RADIOTHERAPY TREATMENT PLANNING
    1.
    发明申请
    INTERACTIVE COMPUTER-AIDED EDITOR FOR COMPENSATORS USED IN RADIOTHERAPY TREATMENT PLANNING 审中-公开
    用于放射治疗计划的补偿器的交互式计算机辅助编辑器

    公开(公告)号：US20120157746A1

    公开(公告)日：2012-06-21

    申请号：US13388061

    申请日：2010-07-09

    Applicant: Michael A. Meltsner ,  Ying Xiong ,  Michael Kaus

    Inventor： Michael A. Meltsner ,  Ying Xiong ,  Michael Kaus

    IPC: A61N5/10 ,  G06G7/60

    CPC classification number: A61N5/103 ,  A61N2005/1074 ,  A61N2005/1096 ,  G16H20/40

    Abstract: When constructing compensators for radiation therapy using ion or proton radiation beams, a computer-aided compensator editing method includes overlaying an initial 3D compensator model on an anatomical image of a target mass (e.g., a tumor) in a patient, along with radiation dose distribution information. A user manipulates pixels or voxels in the compensator model on a display, and a processor automatically adjusts the dose distribution according to the user edits. The user iteratively adjusts the compensator model until the dose distribution is optimized, at which time the optimized compensator model is stored to memory and/or output to a machining device that constructs a compensator from

    Abstract translation: 当使用离子或质子辐射束构造放射治疗补偿器时，计算机辅助补偿器编辑方法包括将初始3D补偿器模型叠加在患者中的目标肿块（例如，肿瘤）的解剖图像上以及辐射剂量分布 信息。 用户在显示器上操纵补偿器模型中的像素或体元，并且处理器根据用户编辑自动调整剂量分布。 用户迭代地调整补偿器模型，直到剂量分布被优化为止，此时将优化的补偿器模型存储到存储器和/或输出到构造补偿器的加工装置

    Manual tools for model based image segmentation
    3.
    发明授权
    Manual tools for model based image segmentation 有权
    用于基于模型的图像分割的手动工具

    公开(公告)号：US07796790B2

    公开(公告)日：2010-09-14

    申请号：US10595357

    申请日：2004-10-06

    Applicant: Todd R. McNutt ,  Michael Kaus ,  Vladimir Pekar

    Inventor： Todd R. McNutt ,  Michael Kaus ,  Vladimir Pekar

    IPC: G06K9/00 ,  G06K9/34 ,  G06K9/46

    CPC classification number: G06T19/00 ,  G06K9/209 ,  G06K9/34 ,  G06K2009/366 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/12 ,  G06T7/149 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/30004 ,  G06T2219/2021

    Abstract: A scanner (18) acquires images of a subject. A 3D model (52) of an organ is selected from an organ model database (50) and dropped over an image of an actual organ. A best fitting means (62) globally scales, translates and/or rotates the model (52) to best fit the actual organ represented by the image. A user uses a mouse (38) to use a set of manual tools (68) to segment and manipulate the model (52)1:o match the image data. The set of tools (68) includes: a Gaussian tool (72) for deforming a surface portion of the model along a Gaussian curve, a spherical push tool (80) for deforming the surface portion along a spherical surface segment, and a pencil tool (90) for manually drawing a line to which the surface portion is redefined.

    Abstract translation: 扫描器（18）获取被摄体的图像。 从器官模型数据库（50）中选择器官的3D模型（52）并且落在实际器官的图像上。 最佳拟合装置（62）在全局范围内缩放，平移和/或旋转模型（52）以最佳地适合由图像表示的实际器官。 用户使用鼠标（38）使用一组手动工具（68）来分割和操纵模型（52）1：o匹配图像数据。 所述工具集（68）包括：用于使模型的表面部分沿着高斯曲线变形的高斯工具（72），用于使表面部分沿着球形表面段变形的球形推动工具（80）和铅笔工具 （90），用于手动绘制重新定义表面部分的线。

    POINT SUBSELECTION FOR FAST DEFORMABLE POINT-BASED IMAGING
    4.
    发明申请
    POINT SUBSELECTION FOR FAST DEFORMABLE POINT-BASED IMAGING 有权
    基于快速基于点的成像的点选择

    公开(公告)号：US20090279739A1

    公开(公告)日：2009-11-12

    申请号：US11915752

    申请日：2006-05-31

    Applicant: Michael Kaus ,  Todd McNutt ,  Vladimir Pekar

    Inventor： Michael Kaus ,  Todd McNutt ,  Vladimir Pekar

    IPC: G06T7/60

    CPC classification number: G06T7/30

    Abstract: A method for selecting vertices for performing deformable registration of imaged objects is provided. The selected vertices form corresponding pairs, each pair including a vertex from a first imaged object and a vertex from a second imaged object. The corresponding vertex pairs are sorted in order of distance between the vertices making up the corresponding vertex pair. The corresponding vertex pair with the greatest distance is given top priority. Corresponding vertex pairs that lie within a selected distance from the selected corresponding vertex pair are discarded. In this manner, the number of vertex pairs used for deformable registration of the imaged objects is reduced and therefore allows for processing times that are clinically acceptable.

    Abstract translation: 提供了一种用于选择用于执行成像对象的变形登记的顶点的方法。 所选择的顶点形成对应的对，每对包括来自第一成像对象的顶点和来自第二成像对象的顶点。 对应的顶点对按照构成相应顶点对的顶点之间的距离的顺序进行排序。 具有最大距离的相应顶点对被赋予最高优先级。 位于距所选择的对应顶点对的选定距离内的相应顶点对被丢弃。 以这种方式，用于成像对象的可变形登记的顶点对的数量减少，因此允许临床可接受的处理时间。

    METHOD, A SYSTEM AND A COMPUTER PROGRAM FOR SEGMENTING A SURFACE IN A MULTI-DIMENSIONAL DATASET
    6.
    发明申请
    METHOD, A SYSTEM AND A COMPUTER PROGRAM FOR SEGMENTING A SURFACE IN A MULTI-DIMENSIONAL DATASET 有权
    方法，用于在多维数据集中表征表面的系统和计算机程序

    公开(公告)号：US20090060319A1

    公开(公告)日：2009-03-05

    申请号：US11911128

    申请日：2006-04-13

    Applicant: Christian Adrian Cocosco ,  Stewart Young ,  Thomas Netsch ,  Michael Kaus

    Inventor： Christian Adrian Cocosco ,  Stewart Young ,  Thomas Netsch ,  Michael Kaus

    IPC: G06K9/00 ,  G06K9/34

    CPC classification number: G06T7/149 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30048

    Abstract: The method according to the invention is arranged to segment a surface in a multi-dimensional dataset comprising a plurality of images, which may be acquired using a suitable data-acquisition unit at a preparatory step 2. It is possible that data processing and data acquisition steps are temporally or geographically distanced, so that at step 4 the results of a suitable data segmentation step 6 are accessed, whereby said results comprise portions of the image which are subsequently used to segment the surface using the method of the invention. Next, at step 8 a suitable plurality of image features resembling possible spatial positions of the surface conceived to be segmented are selected and accessed. The features are subsequently matched for all image portions at step 10, whereby for each feature a matching error is assigned. At step 14 a pre-defined selectivity factor is accessed defining a maximum allowable variable fraction of the features having largest matching errors which can be discarded. The segmentation of the sought surface is performed at step 16, whereby the discarded features are not taken into account for evaluating the quality of fit of a candidate deformation of the. The resulting surface is being displayed on a suitable display means at step 18, whereby it is preferably overlaid on original, notably diagnostic data for user's analysis. In case when the user is satisfied with the result of the segmentation, the segmented surface is stored at step 18. Otherwise, the process is returned to step 14, where a further selectivity factor is accessed. It is possible that the further selectivity factor is altered at step 11 by a user's input, or, alternatively it may be provided by a certain alteration algorithm 13. The invention further relates to a system, a computer program, a workstation, a viewing station, a computer program and a user interface.

    Abstract translation: 根据本发明的方法被布置为在包括多个图像的多维数据集中分割表面，所述多个图像可以在准备步骤2使用合适的数据获取单元获取。可能的是，数据处理和数据采集 步骤在时间上或地理上是间距的，使得在步骤4中，访问合适的数据分割步骤6的结果，由此所述结果包括随后用于使用本发明的方法分割表面的图像的部分。 接下来，在步骤8中，选择并访问类似于被分割的表面的可能的空间位置的合适的多个图像特征。 随后在步骤10对所有图像部分匹配特征，由此为每个特征分配匹配误差。 在步骤14，访问预定义的选择性因子，定义可以丢弃具有最大匹配误差的特征的最大允许可变分数。 在步骤16执行所寻求的表面的分割，由此不考虑丢弃的特征来评估候选变形的拟合质量。 在步骤18，所得到的表面被显示在合适的显示装置上，由此优选地覆盖在原始的，特别是用于用户分析的诊断数据上。 在用户对分割结果满意的情况下，在步骤18存储分割曲面。否则，该过程返回到步骤14，其中进一步选择性因子被访问。 在步骤11，用户的输入可以改变另外的选择性因素，或者也可以由某个改变算法13提供。本发明还涉及系统，计算机程序，工作站，观察台 ，计算机程序和用户界面。

    Automated Stool Removal Method For Medical Imaging
    7.
    发明申请
    Automated Stool Removal Method For Medical Imaging 审中-公开
    自动粪便去除方法用于医学影像

    公开(公告)号：US20080285822A1

    公开(公告)日：2008-11-20

    申请号：US12091753

    申请日：2006-10-17

    Applicant: Michael Kaus ,  Rafael Wiemker

    Inventor： Michael Kaus ,  Rafael Wiemker

    IPC: G06K9/00

    CPC classification number: G06T7/30 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20041 ,  G06T2207/20132 ,  G06T2207/30032

    Abstract: A registration process that allows for assessment of deformation in the gastrointestinal region is provided. The registration process includes a classification process that classifies image data into the type of material imaged. The registration process further includes an automated segmentation process that allows for identification of the materials in the imaging region and allows for removal of objects, such as stool, from imaging data to allow for registration of images.

    Abstract translation: 提供允许评估胃肠道区域变形的配准过程。 注册过程包括将图像数据分类为被成像的材料的类型的分类过程。 注册过程还包括自动分割过程，其允许识别成像区域中的材料并且允许从成像数据中去除诸如粪便的物体以允许图像的配准。

    Method of segmenting a three-dimensional structure contained in an object, notably for medical image analysis
    9.
    发明授权
    Method of segmenting a three-dimensional structure contained in an object, notably for medical image analysis 有权
    分割对象中包含的三维结构的方法，特别是用于医学图像分析

    公开(公告)号：US07167172B2

    公开(公告)日：2007-01-23

    申请号：US10091050

    申请日：2002-03-05

    Applicant: Michael Kaus ,  Anja Hennemuth ,  Vladimir Pekar ,  Juergen Weese

    Inventor： Michael Kaus ,  Anja Hennemuth ,  Vladimir Pekar ,  Juergen Weese

    IPC: G06T15/00

    CPC classification number: G06T7/149 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30004

    Abstract: The invention relates to a method of segmenting a three-dimensional structure, contained in an object, from one or more two-dimensional images which represent a slice of the object. The method utilizes a deformable model whose surface is formed by a network of meshes which connect network points on the surface of the model to one another. First there are determined the meshes which intersect at least one image and a point on the surface of the structure to be segmented is searched along a search line which traverses the mesh and extends in the image. Subsequently, the position of the network points of the model is calculated anew. These steps are repeated a number of times and the model ultimately obtained, that is, after several deformations, is considered to be the segmentation of the three-dimensional structure from the two-dimensional images.

    Abstract translation: 本发明涉及一种从一个或多个二维图像中分割包含在对象中的三维结构的方法，所述二维图像表示对象的切片。 该方法利用可变模型，其表面由网格网络形成，网格网络将模型表面上的网络点彼此连接。 首先确定与至少一个图像相交的网格，并且沿着要遍历网格的搜索线搜索要分割的结构的表面上的点，并在图像中延伸。 随后，重新计算模型网络点的位置。 这些步骤重复多次，并且最终获得的模型，即，在几个变形之后，被认为是来自二维图像的三维结构的分割。

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