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    IMAGE DATA BASED RETROSPECTIVE TEMPORAL SELECTION OF MEDICAL IMAGES
    1.
    发明申请
    IMAGE DATA BASED RETROSPECTIVE TEMPORAL SELECTION OF MEDICAL IMAGES 审中-公开
    基于图像数据的医学图像的重新选择性时间选择

    公开(公告)号：US20070036417A1

    公开(公告)日：2007-02-15

    申请号：US11379183

    申请日：2006-04-18

    申请人： Vincent Argiro ,  Marek Brejl ,  Renee Rashid ,  Todd Johnson ,  Milan Brejl

    发明人： Vincent Argiro ,  Marek Brejl ,  Renee Rashid ,  Todd Johnson ,  Milan Brejl

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00 ,  A61B5/7289 ,  A61B6/504 ,  A61B6/5288 ,  A61B6/541 ,  G06K2209/051 ,  G06T7/251 ,  G06T11/005 ,  G06T2207/10072 ,  G06T2207/30048 ,  G06T2211/412

    摘要： Systems and methods for deriving a cardiac cycle signal by selecting images of a portion of a cardiovascular system include receiving a plurality of images from a scanner that have been recorded over a period of time. The images represent one or more locations along the extent of the cardiovascular system. The images are then selected based on common criteria determined from the plurality of images and without reference to an external signal. The common criteria comprises changes in the size of a cross section of the aorta, changes in the volume of the heart, changes in the area of a cross section of the heart. In addition, the criteria can include the mean pixel difference between adjacent images.

    摘要翻译： 通过选择心血管系统的一部分的图像来导出心动周期信号的系统和方法包括从一段时间内已被记录的扫描仪接收多个图像。 图像表示沿着心血管系统的程度的一个或多个位置。 然后基于从多个图像确定的公共标准而不参考外部信号来选择图像。 常见的标准包括主动脉横截面尺寸的变化，心脏体积的变化，心脏横截面面积的变化。 另外，标准可以包括相邻图像之间的平均像素差异。

    Systems and methods for segmenting and displaying tubular vessels in volumetric imaging data
    3.
    发明申请
    Systems and methods for segmenting and displaying tubular vessels in volumetric imaging data 审中-公开
    用于在体积成像数据中分割和显示管状血管的系统和方法

    公开(公告)号：US20050110791A1

    公开(公告)日：2005-05-26

    申请号：US10723445

    申请日：2003-11-26

    申请人： Prabhu Krishnamoorthy ,  Annapoorani Gothandaraman ,  Marek Brejl ,  Vincent Argiro

    发明人： Prabhu Krishnamoorthy ,  Annapoorani Gothandaraman ,  Marek Brejl ,  Vincent Argiro

    IPC分类号： G06T5/00 ,  G06T7/60 ,  G06T17/00

    CPC分类号： G06T7/60 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30101 ,  G06T2207/30172

    摘要： This document discusses, among other things, systems and methods for segmenting and displaying blood vessels or other tubular structures in volumetric imaging data. The vessel of interest is specified by user input, such as by using a single point-and-click of a mouse or using a menu to select the desired vessel. A central vessel axis (CVA) or centerline path is obtained. A segmentation algorithm uses the centerline to propagate a front that collects voxels associated with the vessel. Re-initialization of the algorithm permits control parameter(s) to be adjusted to accommodate local variations at different parts of the vessel. Termination of the front occurs, among other things, upon vessel departure, for example, indicated by a speed of front evolution falling below a predetermined threshold. After segmentation, an analysis view displays on a screen a 3D rendering of an organ or region, along with orthogonal lateral views of the vessel of interest, and cross-sectional views taken perpendicular to the centerline, which has been corrected using the segmented volumetric vessel data. Cross-sectional diameters are measured automatically, or using a computer-assisted ruler, to permit assessment of stenosis and/or aneurysms. The segmented vessel may also be displayed with a color-coding to indicate its diameter.

    摘要翻译： 本文件还讨论了在体积成像数据中分割和显示血管或其他管状结构的系统和方法。 感兴趣的血管由用户输入指定，例如通过使用鼠标的单次点击或使用菜单来选择所需的血管。 获得中心血管轴（CVA）或中心线路径。 分割算法使用中心线来传播收集与血管相关联的体素的前部。 算法的重新初始化允许调整控制参数以适应船舶不同部分的局部变化。 除了别的以外，在船只离开时，例如由前进速度低于预定阈值所表示的，前方的终止发生。 在分割之后，分析视图在屏幕上显示器官或区域的3D渲染以及感兴趣血管的正交侧视图以及垂直于中心线拍摄的横截面视图，其已经使用分割的体积容器 数据。 横截面直径自动测量，或使用计算机辅助尺子来测量狭窄和/或动脉瘤。 分段血管还可以用颜色编码显示以指示其直径。

    Characteristic path-based colon segmentation
    4.
    发明申请
    Characteristic path-based colon segmentation 有权
    特征基于路径的冒号分割

    公开(公告)号：US20070116346A1

    公开(公告)日：2007-05-24

    申请号：US11287497

    申请日：2005-11-23

    申请人： Samuel Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    发明人： Samuel Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    IPC分类号： G06K9/00

    CPC分类号： G06T19/003 ,  G06K9/4638 ,  G06K2209/051 ,  G06T7/162 ,  G06T2207/30028

    摘要： This document discusses, among other things, systems and methods for efficiently calculating a colon segmentation from one or more candidate virtual three-dimensional objects. A sequence of image scans are analyzed and regions that represent air-filled objects and tagged-stool are identified as candidate segments. A characteristic path is generated for each candidate segment. The paths are joined using a cost network and re-oriented to be consistent with a typical flythrough path. The connected path is then used to generate a continuous volumetric virtual object.

    摘要翻译： 本文件尤其讨论了用于从一个或多个候选虚拟三维对象有效地计算冒号分割的系统和方法。 分析一系列图像扫描，将表示空气填充物体和标记粪便的区域识别为候选区段。 为每个候选段生成特征路径。 这些路径使用成本网络进行连接，并重新定向以与典型的穿越路径保持一致。 然后连接的路径用于生成连续体积虚拟对象。

    Characteristic path-based colon segmentation
    5.
    发明授权
    Characteristic path-based colon segmentation 有权
    特征基于路径的冒号分割

    公开(公告)号：US07574029B2

    公开(公告)日：2009-08-11

    申请号：US11287497

    申请日：2005-11-23

    申请人： Samuel W. Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    发明人： Samuel W. Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    IPC分类号： G06K9/00 ,  G06K9/34

    CPC分类号： G06T19/003 ,  G06K9/4638 ,  G06K2209/051 ,  G06T7/162 ,  G06T2207/30028

    摘要： This document discusses, among other things, systems and methods for efficiently calculating a colon segmentation from one or more candidate virtual three-dimensional objects. A sequence of image scans are analyzed and regions that represent air-filled objects and tagged-stool are identified as candidate segments. A characteristic path is generated for each candidate segment. The paths are joined using a cost network and re-oriented to be consistent with a typical flythrough path. The connected path is then used to generate a continuous volumetric virtual object.

    摘要翻译： 本文件尤其讨论了用于从一个或多个候选虚拟三维对象有效地计算冒号分割的系统和方法。 分析一系列图像扫描，将表示空气填充物体和标记粪便的区域识别为候选区段。 为每个候选段生成特征路径。 这些路径使用成本网络进行连接，并重新定向以与典型的穿越路径保持一致。 然后连接的路径用于生成连续体积虚拟对象。

    Automatic aortic detection and segmentation in three-dimensional image data
    7.
    发明授权
    Automatic aortic detection and segmentation in three-dimensional image data 有权
    自动主动脉检测和分割三维图像数据

    公开(公告)号：US07991210B2

    公开(公告)日：2011-08-02

    申请号：US11287165

    申请日：2005-11-23

    申请人： Samuel W. Peterson ,  Marek Brejl

    发明人： Samuel W. Peterson ,  Marek Brejl

    IPC分类号： G06K9/00

    CPC分类号： G06T7/11 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30101

    摘要： A method including searching image data corresponding to a series of axial image slices with a processor, searching axial image slices from a starting image slice and calculating a confidence score that an image slice includes a cross-section image of an aorta, identifying an image slice containing at least one seed disk, including an ascending aorta seed disk, from candidate image slices identified according to the confidence score, and growing a 3D segmentation of the ascending aorta by stacking ascending aorta image disks included in consecutive image slices beginning from the ascending aorta seed disk.

    摘要翻译： 一种方法，包括用处理器搜索与一系列轴向图像切片相对应的图像数据，从起始图像切片搜索轴向图像切片并计算图像切片包括主动脉横截面图像的置信度分数，识别图像切片 包含至少一个种子盘，包括升主动脉种子盘，从根据置信度得分识别的候选图像切片，以及通过堆叠包括在从升主动脉开始的连续图像片段中的升主动脉图像盘来生长升主动脉的3D分割 种子盘。

    CHARACTERISTIC PATH-BASED COLON SEGMENTATION
    8.
    发明申请
    CHARACTERISTIC PATH-BASED COLON SEGMENTATION 有权
    特征路径分类

    公开(公告)号：US20090238431A1

    公开(公告)日：2009-09-24

    申请号：US12477498

    申请日：2009-06-03

    申请人： Samuel W. Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    发明人： Samuel W. Peterson ,  Marek Brejl ,  Annapoorani Gothandaraman

    IPC分类号： G06K9/00

    CPC分类号： G06T19/003 ,  G06K9/4638 ,  G06K2209/051 ,  G06T7/162 ,  G06T2207/30028

    摘要： This document discusses, among other things, systems and methods for efficiently calculating a colon segmentation from one or more candidate virtual three-dimensional objects. A sequence of image scans are analyzed and candidate segments are identified. Landmark segments are identified from the candidate segments. A characteristic path is generated for each candidate segment. The paths are joined using a cost network and re-oriented to be consistent with a typical flythrough path. The connected path is then used to generate a continuous volumetric virtual object.

    摘要翻译： 本文件尤其讨论了用于从一个或多个候选虚拟三维对象有效地计算冒号分割的系统和方法。 分析一系列图像扫描并识别候选片段。 从候选片段中识别地标片段。 为每个候选段生成特征路径。 这些路径使用成本网络进行连接，并重新定向以与典型的穿越路径保持一致。 然后连接的路径用于生成连续体积虚拟对象。

    Automatic aortic detection and segmentation in three-dimensional image data
    10.
    发明授权
    Automatic aortic detection and segmentation in three-dimensional image data 有权
    自动主动脉检测和分割三维图像数据

    公开(公告)号：US08335366B2

    公开(公告)日：2012-12-18

    申请号：US13173964

    申请日：2011-06-30

    申请人： Samuel W. Peterson ,  Marek Brejl

    发明人： Samuel W. Peterson ,  Marek Brejl

    IPC分类号： G06K9/00

    CPC分类号： G06T7/11 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30101

    摘要： A method including searching image data corresponding to a series of axial image slices with a processor, searching axial image slices from a starting image slice and calculating a confidence score that an image slice includes a cross-section image of an aorta, identifying an image slice containing at least one seed disk, including an ascending aorta seed disk, from candidate image slices identified according to the confidence score, and growing a 3D segmentation of the ascending aorta by stacking ascending aorta image disks included in consecutive image slices beginning from the ascending aorta seed disk.

    摘要翻译： 一种方法，包括用处理器搜索与一系列轴向图像切片相对应的图像数据，从起始图像切片搜索轴向图像切片并计算图像切片包括主动脉横截面图像的置信度分数，识别图像切片 包含至少一个种子盘，包括升主动脉种子盘，从根据置信度得分识别的候选图像切片，以及通过堆叠包括在从升主动脉开始的连续图像片段中的升主动脉图像盘来生长升主动脉的3D分割 种子盘。