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    Method and apparatus for embolism analysis
    2.
    发明授权
    Method and apparatus for embolism analysis 失效
    栓塞分析方法与装置

    公开(公告)号：US07583829B2

    公开(公告)日：2009-09-01

    申请号：US11202801

    申请日：2005-08-12

    申请人： Atilla Peter Kiraly ,  Carol L. Novak ,  Lutz Gündel

    发明人： Atilla Peter Kiraly ,  Carol L. Novak ,  Lutz Gündel

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  A61B6/507 ,  G06T7/11 ,  G06T7/187 ,  G06T7/62 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30101

    摘要： Disclosed is an automated technique for analyzing the affected region due to an embolism in an organ. A segmented image of the organ vasculature is generated using image volume data received, for example, from a Computed Tomography (CT) machine. An embolus is then identified (either manually or automatically) within the segmented image, and the volume of the organ affected by the embolism is automatically determined. The volume of the organ affected by the embolism may be determined by computing a sub-tree within the segmented image, where the sub-tree comprises vessels that are distal to the identified embolus point. In one embodiment, the sub-tree is generated by determining a plane perpendicular to a vessel at the embolus point such that the sub-tree comprises a distal portion of the vasculature with respect to the plane. Unwanted overlapping trees are identified (e.g., by analyzing branch angles) and removed from the sub-tree. The volume of the organ affected by the embolism is determined by calculating a volume of the organ that is perfused by the sub-tree. The affected volume may be adjusted by scaling the volume based on the percentage occlusion of the partial embolus.

    摘要翻译： 公开了一种用于分析由于器官栓塞引起的受影响区域的自动化技术。 使用例如从计算机断层扫描（CT）机器接收的图像体积数据生成器官血管系统的分割图像。 然后在分割图像中识别（手动或自动）栓塞，并自动确定受栓塞影响的器官的体积。 由栓塞影响的器官的体积可以通过计算分割图像内的子树来确定，其中子树包括远离所识别的栓塞点的血管。 在一个实施例中，通过确定在栓塞点处垂直于血管的平面来产生子树，使得子树相对于平面包括脉管系统的远端部分。 识别不需要的重叠树（例如，通过分析分支角度）并从子树中移除。 通过计算由子树灌注的器官的体积来确定受栓子影响的器官的体积。 可以通过根据部分栓塞的百分比阻塞来缩放体积来调整受影响的体积。

    System and method for polyp detection in tagged or non-tagged stool images
    3.
    发明授权
    System and method for polyp detection in tagged or non-tagged stool images 有权
    用于标记或非标记粪便图像中息肉检测的系统和方法

    公开(公告)号：US07853062B2

    公开(公告)日：2010-12-14

    申请号：US11468964

    申请日：2006-08-31

    申请人： Atilla Peter Kiraly ,  Carol L. Novak

    发明人： Atilla Peter Kiraly ,  Carol L. Novak

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30028 ,  G06T2207/30032

    摘要： A method for detecting polyp candidates in tagged stool or non-tagged stool images without performing stool subtraction, includes: applying a filter to locations in image data of a colon including tagged or non-tagged stool to generate a response image based on a gradient magnitude, angle, and radius in relation to another location in the image data for each of the locations, wherein the locations are indicated in the response image as tagged or non-tagged stool based on their density or brightness within the response image; and selecting locations in the response image above a threshold as polyp candidates.

    摘要翻译： 一种用于检测标记粪便或非标记粪便图像中的息肉候选的方法，而不执行粪便减法，包括：将过滤器应用于包括标记或未标记粪便的结肠图像数据中的位置，以基于梯度大小生成响应图像 基于它们在响应图像中的密度或亮度，将位置在响应图像中指示为带标记或非标记的凳子的图像数据中的相对于图像数据中的另一位置的角度和角度; 以及选择高于阈值的响应图像中的位置作为息肉候选。

    System and method for polyp visualization
    4.
    发明授权
    System and method for polyp visualization 有权
    息肉可视化的系统和方法

    公开(公告)号：US07349563B2

    公开(公告)日：2008-03-25

    申请号：US10873337

    申请日：2004-06-22

    申请人： Atilla Peter Kiraly ,  Carol L. Novak ,  Bernhard Geiger

    发明人： Atilla Peter Kiraly ,  Carol L. Novak ,  Bernhard Geiger

    IPC分类号： G06K9/00 ,  G01N23/04

    CPC分类号： G06T15/06 ,  G06T15/20 ,  G06T19/003 ,  G06T2210/41 ,  Y10S128/922

    摘要： A system and method for determining a location and a direction for viewing a protrusion, comprising: casting a plurality of rays in an outward direction from a point, wherein the point is inside a protrusion; selecting at least one of the plurality of rays for determining a location and a direction for viewing the protrusion; and determining the location and the direction for viewing the protrusion using the selected at least one of the plurality of rays.

    摘要翻译： 一种用于确定用于观察突起的位置和方向的系统和方法，包括：从一个点向外的方向铸造多个射线，其中所述点在突起内; 选择所述多个光线中的至少一个用于确定用于观察所述突起的位置和方向; 以及使用所选择的所述多个光线中的至少一个来确定所述突起的位置和方向。

    System and method for grouping airways and arteries for quantitative analysis
    7.
    发明授权
    System and method for grouping airways and arteries for quantitative analysis 失效
    用于分组气道和动脉进行定量分析的系统和方法

    公开(公告)号：US08422748B2

    公开(公告)日：2013-04-16

    申请号：US11470294

    申请日：2006-09-06

    申请人： Benjamin Odry ,  Atilla Peter Kiraly ,  Carol L. Novak

    发明人： Benjamin Odry ,  Atilla Peter Kiraly ,  Carol L. Novak

    IPC分类号： G06K9/00 ,  A61B5/08

    CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T2207/30101

    摘要： A method for grouping airway and artery pairs, includes: computing a two-dimensional (2D) cross-section of an airway; identifying regions of high-intensity in the 2D cross-section; computing a first indicator for each of the high intensity regions, wherein the first indicator is an orientation measure of the high intensity region with respect to the airway; computing a second indicator for each of the high intensity regions, wherein the second indicator is a circularity measure of the high intensity region; computing a third indicator for each of the high intensity regions, wherein the third indicator is a proximity measure of the high intensity region with respect to the airway; summing the first through third indicators for each of the high intensity regions to obtain a score for each of the high intensity regions; and determining which of the high intensity regions is an artery corresponding to the airway based on its score.

    摘要翻译： 一种用于分组气道和动脉对的方法，包括：计算气道的二维（2D）横截面; 识别2D横截面中高强度的区域; 计算每个所述高强度区域的第一指示符，其中所述第一指示符是所述高强度区域相对于所述气道的取向测量; 计算每个高强度区域的第二指示符，其中第二指示符是高强度区域的圆度度量; 计算每个所述高强度区域的第三指示符，其中所述第三指示符是所述高强度区域相对于所述气道的接近度量; 对每个高强度区域的第一至第三指标求和，以获得每个高强度区域的得分; 并且基于其得分确定哪个高强度区域是对应于气道的动脉。