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    • 51. 发明申请
    • Interactive atlas extracted from volume data
    • 从卷数据中提取的交互式地图集
    • US20060062425A1
    • 2006-03-23
    • US11203792
    • 2005-08-15
    • Hong ShenShuping Qing
    • Hong ShenShuping Qing
    • G06K9/00
    • G06T15/08G06T7/11G06T2200/08G06T2207/10081G06T2207/20128G06T2207/20156G06T2207/20161G06T2207/30008
    • A computer-implemented method for building an atlas includes providing a volume data for a plurality of bones, segmenting, individually, the plurality of bones from the volume data, storing locations of a plurality of voxels for each of the plurality of bones, wherein each of the plurality of bones is registered with a dedicated list of locations, wherein the locations are locations in a coordinate system of the volume data, selecting one or more of the plurality of bones, forming a selected structure, and rendering the selected structure in the coordinate system of the volume data according to the dedicated list of locations of each of the plurality of bones in the selected structure, wherein a rendering is displayed by a display.
    • 用于构建图集的计算机实现的方法包括提供用于多个骨骼的体数据,从体数据单独分割多个骨骼,存储多个骨骼中的每一个的多个体素的位置,其中每个 将多个骨骼的专用列表登记在专用的位置列表中,其中,位置是体数据的坐标系中的位置,选择多个骨骼中的一个或多个,形成所选择的结构,并将所选择的结构呈现在 根据所选择的结构中的多个骨骼中的每一个的位置的专用列表来体积数据的坐标系,其中通过显示显示呈现。
    • 52. 发明申请
    • Method and system for patient identification in 3D digital medical images
    • 3D数字医学图像中患者识别的方法和系统
    • US20050111714A1
    • 2005-05-26
    • US10974313
    • 2004-10-27
    • Hong ShenBenjamin OdryShuping Qing
    • Hong ShenBenjamin OdryShuping Qing
    • G06K9/00G06T7/00
    • G06T7/0012A61B6/5294G06T2207/30061Y10S378/901
    • A method of identifying a patient from digital medical images includes providing a first digital image volume of an organ of a patient and a second digital image volume of the same organ, segmenting each slice of the first image volume and calculating a cross-sectional area of the organ in each slice to form a first area profile, segmenting each slice of the second image volume and calculating a cross-sectional area of the organ in each slice to form a second area profile, and comparing the first area profile with the second area profile to determine a correlation value for the two profiles. Based on the correlation value between the first area profile and the second area profile, it is determined whether the first digital image volume of the organ and the second digital image volume of the same organ came from the same patient.
    • 从数字医学图像识别患者的方法包括提供患者的器官的第一数字图像体积和同一器官的第二数字图像体积,分割第一图像体积的每个切片,并计算第一图像体积的横截面积 每个切片中的器官以形成第一区域轮廓,分割第二图像体积的每个切片并计算每个切片中的器官的横截面面积以形成第二区域轮廓,并且将第一区域轮廓与第二区域 配置文件以确定两个配置文件的相关值。 基于第一区域轮廓和第二区域轮廓之间的相关值,确定器官的第一数字图像体积和同一器官的第二数字图像体积是否来自同一患者。
    • 59. 发明授权
    • System and method for automatic detection of rib metastasis in computed tomography volume
    • 计算机断层扫描体积自动检测肋骨转移的系统和方法
    • US08165376B2
    • 2012-04-24
    • US11951382
    • 2007-12-06
    • Hong ShenLimin Ma
    • Hong ShenLimin Ma
    • G06K9/00G06K9/34
    • G06T7/0012
    • A method and system for automatically detecting rib metastasis in a thoracic CT volume is disclosed. The ribs are segmented in said CT volume by recursive tracing. A series of cross-sectional images are then generated along a centerline of each rib. Cortical and trabecular bone structures are segmented in each of the cross-sectional images for each rib. Features are calculated for each cross-sectional image based on characteristics of the cortical and trabecular bone structures, and alterations are detected in the cross-sectional images based on the features. Rib metastasis is detected in a rib when an alteration is detected in a number of consecutive cross-sectional images along the centerline of the rib.
    • 公开了一种用于自动检测胸部CT体积的肋骨转移的方法和系统。 肋骨通过递归跟踪在所述CT体积中分段。 然后沿着每个肋的中心线产生一系列横截面图像。 在每个肋骨的每个截面图像中分割皮质和小梁骨结构。 基于皮质和小梁骨结构的特征为每个横截面图像计算特征,并且基于特征在截面图像中检测到变化。 当沿着肋的中心线的多个连续横截面图像中检测到改变时,肋中检测到肋转移。