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Atrophy analysis of corpus callosum in Alzheimer brain MR images using anisotropic diffusion filtering and level sets

机译:各向异性扩散滤波和水平集分析老年痴呆症脑部MR图像中call体的萎缩

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In this work, an attempt has been made to analyze the atrophy of Corpus Callosum (CC) in Alzheimer brain magnetic resonance images using anisotropic diffusion filtering and modified distance regularized level set method. Anisotropic diffusion filtering is used as preprocessing to obtain the edge map. The modified distance regularized level set method is employed to segment CC using this edge map. Geometric features are extracted from the segmented C C and are analyzed. Results show that anisotropic diffusion filtering is able to extract the edge map with high contrast and continuous boundaries. Modified distance reqularized level set method could perform the segmentation of CC in both normal and Alzheimer images. The extracted geometric features such as minor axis, euler number and solidity are able to demarcate the Alzheimer subjects from the control normals. As atrophy of CC is closely associated with the pathology, this study seems to be clinically useful.
机译:在这项工作中,已尝试使用各向异性扩散滤波和改进的距离正则化水平集方法来分析阿尔茨海默氏症大脑磁共振图像中的us体萎缩症(CC)。各向异性扩散滤波被用作预处理以获得边缘图。使用改进的距离正则化水平集方法使用该边缘图对CC进行分割。从分割的C C中提取几何特征并进行分析。结果表明,各向异性扩散滤波能够提取具有高对比度和连续边界的边缘图。改进的距离规则化水平集方法可以在正常图像和阿尔茨海默病图像中执行CC分割。所提取的几何特征(例如短轴,欧拉数和坚固性)能够将阿尔茨海默氏症受试者与对照法线区分开。由于CC萎缩与病理密切相关,因此该研究似乎在临床上有用。

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