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公开(公告)号：US07486812B2
公开(公告)日：2009-02-03
申请号：US10993176
申请日：2004-11-19
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/149 , G06T7/33 , G06T7/38 , G06T2207/10081 , G06T2207/20116 , G06T2207/20156 , G06T2207/30064
摘要： A method for refining shape estimates of detected abnormalities in medical images, particularly for the detection of pulmonary lesions in CT imagery is described. A cue point is refined prior to an initially segmentation of the lesion. A radial gradient is computed for points on an initial segmented lesion. Portions of the lesion with radial gradients deviating beyond a threshold angle are removed from the lesion. Registering imagery from more than one CT exam uses a high intensity structure, essentially bone, to provide coarse and fine alignment of a set of two-dimensional images is also described. A MIP image is formed from the three-dimensional images. A second MIP image is then formed from imagery. The second MIP image is correlated with the first MIP image to determine a preferred registration location.
摘要翻译： 描述了一种用于细化医学图像中检测到异常的形状估计的方法，特别是用于CT图像中肺损伤检测的方法。 在病变的最初分割之前，提示点被精炼。 计算初始分段病变上的点的径向梯度。 具有偏离超过阈值角度的径向梯度的病变部分从损伤处去除。 从多个CT检查中注册图像，还描述了高强度结构，基本上是骨骼，以提供一组二维图像的粗略和精细对准。 MIP图像由三维图像形成。 然后从图像形成第二个MIP图像。 第二MIP图像与第一MIP图像相关以确定优选的注册位置。
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公开(公告)号：US07236620B1
公开(公告)日：2007-06-26
申请号：US10600783
申请日：2003-06-20
申请人： Metin N. Gurcan
发明人： Metin N. Gurcan
IPC分类号： G06K9/00
CPC分类号： G06K9/46 , G06T7/0012 , G06T2207/30028
摘要： This invention provides a method for detecting abnormalities in medical images, particularly for the detection of polyps in the colon from computed tomography imagery. Specifically a set of colon masks is input to a detector where summations over spherical volumes with two different radii are computed. Abnormalities are detected based on the ratio of spherical summation values computed for every pixel location.
摘要翻译： 本发明提供一种用于检测医学图像异常的方法，特别是用于从计算机断层摄影图像检测结肠息肉。 具体地，一组结肠掩模被输入到检测器，其中计算具有两个不同半径的球形体积上的求和。 基于为每个像素位置计算的球面求和值的比率来检测异常。
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