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1. 发明授权

US07536041B2 3D image segmentation 失效
标题翻译： 3D图像分割
公开(公告)号：US07536041B2
公开(公告)日：2009-05-19
申请号：US10560185
申请日：2004-06-09
申请人： Vladimir Pekar , Michael Reinhold Kaus , Todd McNutt
发明人： Vladimir Pekar , Michael Reinhold Kaus , Todd McNutt
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06T17/20 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20092 , G06T2207/30004
摘要： A delineation of a structure of interest can be performed by fitting 3D deformable models, for example, represented by polygonal measures, to the boundaries of the structure of interest. The deformable model fitting process is guided by minimization of the sum of an external energy, based on image feature information, which attracts the mesh to the organ boundaries and an internal energy, which preserves the consistent shape of the mesh. A frequent problem is that the images do not contain sufficient reliable image feature information, such as image gradients, to attract the mesh. According to the present invention, manually drawn attractors in the form of complete or partial contours corresponding to boundaries of the structure of interest are placed into the images which do not contain sufficient feature information. These attractors may easily be discriminated by a subsequent segmentation process. Due to this, advantageously, a 3D deformable model can be fitted to structures of interest in images with poor contrast, noise or image artifacts.
摘要翻译：可以通过将例如由多边形度量表示的3D可变形模型拟合到感兴趣的结构的边界来执行感兴趣的结构的描绘。可变形模型拟合过程是基于图像特征信息的最小化引导的，该图像特征信息将网格吸引到器官边界和内部能量，这保留了网格的一致形状。一个常见的问题是，图像不包含足够可靠的图像特征信息，如图像梯度，以吸引网格。根据本发明，将对应于感兴趣结构的边界的完整或部分轮廓形式的手动吸引器放置在不包含足够的特征信息的图像中。这些吸引子可以容易地被随后的分割过程区分开。因此，有利地，可以将3D可变形模型拟合到具有差的对比度，噪声或图像伪像的图像中的感兴趣的结构。

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