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3-dimensional lesion detection method of computer-aided

机译:计算机辅助三维病变检测方法

摘要

Method for identifying a lesion is expanded three-dimensionally at least one of the examination zone surrounding the involvement tissue inner surface of SOLUTION An object organ 3D lesion detection method of the present invention relates computer-assisted, and outer surface, systems, and computer program product. In the method includes generating a set of voxels representing the entire imaging region that has been scanned from a cross-sectional image set of the organ (1) Purpose, voxel by running (2) splitting, and represents the entire imaging region that is scanned to extract a set of voxels representing the thicker regions under testing from a set of, that is based on the geometric characteristic values ​​of each voxel in the set of voxels representing the (3) area to be inspected, to detect the set of lesion candidate , and it is based on at least one of the tissue property values ​​imaging region of the lesion in the set (4) lesion candidate, and form, to select the lesion is expanded three-dimensionally at least one from a set of candidate lesion I include the. [Selection] Figure Figure 1
机译:解决方案3D技术领域本发明的对象器官3D病变检测方法涉及计算机辅助的,外表面,系统和计算机程序,该病变的识别方法至少围绕着受累组织内表面的检查区域中的至少一个三维地扩展。产品。在该方法中,包括生成代表已从器官的横截面图像集中扫描的整个成像区域的一组体素(1)目的,通过运行(2)分割产生体素,并表示已扫描的整个成像区域从表示要检查的(3)区域的一组体素中每个体素的几何特征值中,从一组中提取出代表被测较厚区域的一组体素,以检测该组病变候选者,并基于该病变中至少一个的组织属性值成像区域(4)病变候选者和形式,从一组中选择病变至少三维三维扩展我包括的候选病变。 [选择]图图1

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