公开(公告)号：US08155405B2

公开(公告)日：2012-04-10

申请号：US12045327

申请日：2008-03-10

申请人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Shawn Lankton ,  Valer Canda ,  Stefan Thesen ,  Shuping Qing

发明人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Shawn Lankton ,  Valer Canda ,  Stefan Thesen ,  Shuping Qing

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06K9/6207 ,  G06F19/00 ,  G06K9/342 ,  G06K2009/366 ,  G06K2209/053 ,  G06T7/12 ,  G06T7/149 ,  G06T7/194 ,  G06T2200/04 ,  G06T2207/10088 ,  G06T2207/20104 ,  G06T2207/30096

摘要： A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.

摘要翻译： 一种用于三维（3D）数字图像中的病变分割的方法，包括从3D图像中选择感兴趣的2D区域（ROI），ROI包含疑似病变，将ROI的边界延伸到形成感兴趣体积的3D（ VOI），其中VOI边界上的体元被初始化为背景体元素，并且VOI内部的体素被初始化为前景体素，传播前景和背景体素竞争，其中对于VOI中的每个体素，具有每个相邻体素 体素的邻域攻击体素，并且如果攻击成功，更新体素的标签和强度与成功的攻击体素的标记和强度，并且以3D形式在前景和背景体素之间演变出一个表面，直到能量功能相关 其表面收敛于值，其中表面将图像中的可疑病变分割。