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    • 1. 发明申请
    • Visualization of volume-rendered data with occluding contour multi-planar-reformats
    • 使用闭塞轮廓多平面重新格式化可视化体积渲染数据
    • US20050195190A1
    • 2005-09-08
    • US11065728
    • 2005-02-25
    • James WilliamsKlaus EngelGianluca Paladini
    • James WilliamsKlaus EngelGianluca Paladini
    • G06T15/00G06T15/40G06T17/00
    • G06T15/08
    • An apparatus and method for visualizing volume rendered images relative to a viewing vector are provided, where the apparatus includes a processor, a detection unit in signal communication with the processor for detecting occluding contours of opacified structures in the image data, and a resampling unit in signal communication with the processor for generating curved multi-planar-reformat (MPR) resamplings that follow the occluding contours of the opacified structures; and the method includes receiving a volume rendered image, including distance values and surface normals for every pixel that is opacified, gathering all opacified pixels that are orthogonal to the viewing vector into a group of occluding points, and separating the group of occluding points into individual occluding contours.
    • 提供了一种用于可视化相对于观看向量的体绘制图像的装置和方法,其中所述装置包括处理器,与所述处理器进行信号通信的检测单元,用于检测所述图像数据中的不透明结构的遮挡轮廓;以及重采样单元, 与处理器的信号通信,用于产生遵循不透明结构的闭塞轮廓的弯曲多平面重新格式化(MPR)重采样; 并且所述方法包括接收体积渲染图像,包括对于不透明的每个像素的距离值和表面法线,将与观看矢量正交的所有不透明像素聚集成一组闭塞点,以及将该组闭塞点分成单独的 闭塞轮廓
    • 2. 发明授权
    • System and method for in-context volume visualization using virtual incision
    • 使用虚拟切口进行上下文卷可视化的系统和方法
    • US08466916B2
    • 2013-06-18
    • US11675135
    • 2007-02-15
    • Klaus EngelJames Williams
    • Klaus EngelJames Williams
    • G06T17/00
    • G06T15/08
    • A method for volume rendering a digitized medical image includes providing a digitized medical image volume comprising a plurality of intensities on a 3-dimensional grid of points, providing a projection plane comprising a 2-dimensional lattice of points onto which rendering rays are projected from a viewing point through the image volume, advancing a sampling point along a ray through the image volume, generating an incision region within the image volume, determining whether the sampling point is within the incision region, where a first transfer function is applied to a sample value interpolated from a first volume if the sampling point is within the incision region, and a second transfer function is applied to a sample value interpolated from a second volume if the sampling point is outside the incision region, and accumulating the output of the transfer function.
    • 用于体绘制数字化医学图像的方法包括在三维网格网格上提供包括多个强度的数字化医学图像体积,提供投影平面,该投影平面包括从其上投影渲染光线的点的二维点阵 通过图像体积观察点,沿着光线推进采样点通过图像体积,在图像体积内产生切割区域,确定采样点是否在切口区域内,其中第一传递函数被应用于样本值 如果采样点在切口区域内,则从第一卷内插,并且如果采样点在切口区域之外,则将第二传递函数应用于从第二卷内插的采样值,并累加传递函数的输出。
    • 3. 发明申请
    • SYSTEM AND METHOD FOR IN-CONTEXT MPR VISUALIZATION USING VIRTUAL INCISION VOLUME VISUALIZATION
    • 使用虚拟入侵体视觉化的内在MPR可视化的系统和方法
    • US20070229500A1
    • 2007-10-04
    • US11684685
    • 2007-03-12
    • Klaus EngelJames Williams
    • Klaus EngelJames Williams
    • G06T17/00
    • G06T19/00G06T15/08G06T2219/008Y10T428/24355Y10T428/25
    • A method for multi-planar reconstruction of digitized medical images includes providing an image volume, sampling the neighborhood about each point in a planar region and saving a color value and a depth, providing a projection plane onto which rendering rays are projected from a viewing point through said image volume, advancing sampling points along rays through the image volume, computing depths of each sampling point, determining for sampling points on rays that penetrates the planar region if a depth of said sampling point is less than the buffer depth of a corresponding point in the planar region and sampling neighborhoods of points about such sampling points, determining if sampling points are near said planar region, applying first transfer function to sample values interpolated from first volume for sampling points close to or inside the planar region, and otherwise applying second transfer function to sample values interpolated from second volume.
    • 一种用于数字化医学图像的多平面重构的方法包括提供图像体积,对平面区域中的每个点进行邻域采样,并且保存颜色值和深度,从而提供投影平面,在该投影平面上,从观察点 通过所述图像体积,沿着光线通过图像体积推进采样点,计算每个采样点的深度,如果所述采样点的深度小于对应点的缓冲器深度,则确定穿透平面区域的射线上的采样点 在平面区域中,并且对这些采样点的点的采样邻域,确定采样点是否靠近所述平面区域,将第一传递函数应用于从接近或在平面区域内的采样点从第一体积内插的采样值, 传递函数到从第二卷插值的样本值。
    • 4. 发明授权
    • System and method for in-context MPR visualization using virtual incision volume visualization
    • 使用虚拟切口体积可视化的上下文MPR可视化的系统和方法
    • US07889194B2
    • 2011-02-15
    • US11684685
    • 2007-03-12
    • Klaus EngelJames Williams
    • Klaus EngelJames Williams
    • G06T15/00
    • G06T19/00G06T15/08G06T2219/008Y10T428/24355Y10T428/25
    • A method for multi-planar reconstruction of digitized medical images includes providing an image volume, sampling the neighborhood about each point in a planar region and saving a color value and a depth, providing a projection plane onto which rendering rays are projected from a viewing point through said image volume, advancing sampling points along rays through the image volume, computing depths of each sampling point, determining for sampling points on rays that penetrates the planar region if a depth of said sampling point is less than the buffer depth of a corresponding point in the planar region and sampling neighborhoods of points about such sampling points, determining if sampling points are near said planar region, applying first transfer function to sample values interpolated from first volume for sampling points close to or inside the planar region, and otherwise applying second transfer function to sample values interpolated from second volume.
    • 一种用于数字化医学图像的多平面重构的方法包括提供图像体积,对平面区域中的每个点进行邻域采样,并且保存颜色值和深度,从而提供投影平面,在该投影平面上,从观察点 通过所述图像体积,沿着光线通过图像体积推进采样点,计算每个采样点的深度,如果所述采样点的深度小于对应点的缓冲器深度,则确定穿透平面区域的射线上的采样点 在平面区域中,并且对这些采样点的点的采样邻域,确定采样点是否靠近所述平面区域,将第一传递函数应用于从接近或在平面区域内的采样点从第一体积内插的采样值, 传递函数到从第二卷插值的样本值。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR IN-CONTEXT VOLUME VISUALIZATION USING VIRTUAL INCISION
    • 使用虚拟入侵的内容体现可视化的系统和方法
    • US20070195088A1
    • 2007-08-23
    • US11675135
    • 2007-02-15
    • Klaus EngelJames Williams
    • Klaus EngelJames Williams
    • G06T17/00
    • G06T15/08
    • A method for volume rendering a digitized medical image includes providing a digitized medical image volume comprising a plurality of intensities on a 3-dimensional grid of points, providing a projection plane comprising a 2-dimensional lattice of points onto which rendering rays are projected from a viewing point through said image volume, advancing a sampling point along a ray through said image volume, generating an incision region within said image volume, determining whether said sampling point is within said incision region, wherein a first transfer function is applied to a sample value interpolated from a first volume if said sampling point is within the incision region, and a second transfer function is applied to a sample value interpolated from a second volume if said sampling point is outside the incision region, and accumulating the output of the transfer function.
    • 用于体绘制数字化医学图像的方法包括在三维网格网格上提供包括多个强度的数字化医学图像体积,提供投影平面,该投影平面包括从其上投影渲染光线的点的二维点阵 通过所述图像体积观察点,沿着光线推进采样点通过所述图像体积,在所述图像体积内产生切割区域,确定所述采样点是否在所述切割区域内,其中第一传递函数被应用于样本值 如果所述采样点在所述切口区域内,则从第一体积内插,并且如果所述采样点在所述切口区域之外,并且累积所述传递函数的输出,则将第二传递函数应用于从第二体积插值的样本值。
    • 10. 发明申请
    • AUTOMATIC ORGAN DETECTION USING MACHINE LEARNING AND CLASSIFICATION ALGORITHMS
    • 使用机器学习和分类算法的自动机器检测
    • US20080154565A1
    • 2008-06-26
    • US11747961
    • 2007-05-14
    • Charles FlorinJames Williams
    • Charles FlorinJames Williams
    • G06G7/60
    • G06K9/6256G06K2209/05G06T7/70G06T2207/10072G06T2207/30092
    • A method and apparatus of visually depicting an organ, having the steps of choosing a predefined set features for analysis, the predefined set of features having distinguishing weak learners for an algorithm, wherein the predefined set of features and the weak learners chosen distinguish features of the organ desired to be represented, developing a strong classifier for the algorithm for the organ desired to be represented based upon the weak learners for the organ, one of conducing a body scan to produce a body scan data set and obtaining a body scan data set of information for a patient, applying the strong classifier and the algorithm to the body scan data set to develop a result of a representation of the organ and outputting the result of the step of applying of the strong classifier and the algorithm to the body scan data set to represent the organ.
    • 一种视觉描绘器官的方法和装置,具有选择用于分析的预定义集合特征的步骤,所述预定义特征集合具有针对算法的区别弱学习者,其中所选择的特定组和弱学习者选择区分特征的特征 期望被表示的器官,为基于用于器官的弱学习者所希望表示的器官的算法开发强分类器,其中一个是进行身体扫描以产生身体扫描数据集并且获得身体扫描数据集 用于患者的信息,将强分类器和算法应用于身体扫描数据集以产生器官表示的结果,并将强分类器和算法的步骤的结果输出到身体扫描数据集 代表器官。