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Elastic Registration Algorithm of Medical Images Based on Fuzzy Set

机译:基于模糊集的医学图像弹性配准算法

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An elastic registration algorithm based on fuzzy set is proposed in the paper. The fuzziness of medical images is shown in two aspects: (1) the intensity of the pixels in medical images is fuzzy. The same kind of tissue may has different intensity and the same intensity may correspond to different tissues in one image; (2) the space position of image pixel is fuzzy. In the paper, we applied the fuzzy theory to the first aspect and presented the concept of fuzzy mutual information and its optimization method. For the second aspect, a multiresolution registration method based on fuzzy set and its optimization method is presented. 16 groups of experiments have been done and the results showed that the elastic registration algorithm based on fuzzy set can improve the accuracy and robustness of registration algorithm greatly.
机译:提出了一种基于模糊集的弹性配准算法。医学图像的模糊性表现在两个方面:(1)医学图像中像素的强度模糊。相同种类的组织可能具有不同的强度,并且同一强度可能对应于一张图像中的不同组织。 (2)图像像素的空间位置模糊。在本文中,我们将模糊理论应用于第一方面,提出了模糊互信息的概念及其优化方法。第二方面,提出了一种基于模糊集的多分辨率配准方法及其优化方法。进行了16组实验,结果表明基于模糊集的弹性配准算法可以大大提高配准算法的准确性和鲁棒性。

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