| High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration |
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| 作者姓名： | Tao Guo Quan Wang Yi Wang Kun Xie |
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| 作者单位： | School of Computer and Science, Xidian University, Xi''an 710071, China,School of Computer and Science, Xidian University, Xi''an 710071, China,School of Electronics and Information, Northwestern Polytechnical University, Xi''an 710072, China,School of Computer and Science, Xidian University, Xi''an 710071, China |
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| 基金项目： | Supported by the National Key Research and Development Program of China (2016YFC0100300); the National Natural Science Foundation of China (61402371, 61771369); the Natural Science Basic Research Plan in Shaanxi Province of China (2017JM6008); the Fundamental Research Funds for the Central Universities of China (3102017zy032, 3102018zy020) |
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| 摘 要： | Three high dimensional spatial standardization algorithms are used for diffusion tensor image (DTI) registration, and seven kinds of methods are used to evaluate their performances. Firstly, the template used in this paper was obtained by spatial transformation of 16 subjects by means of tensor-based standardization. Then, high dimensional standardization algorithms for diffusion tensor images, including fractional anisotropy (FA) based diffeomorphic registration algorithm, FA based elastic registration algorithm and tensor-based registration algorithm, were performed. Finally, 7 kinds of evaluation methods, including normalized standard deviation, dyadic coherence, diffusion cross-correlation, overlap of eigenvalue-eigenvector pairs, Euclidean distance of diffusion tensor, and Euclidean distance of the deviatoric tensor and deviatoric of tensors, were used to qualitatively compare and summarize the above standardization algorithms. Experimental results revealed that the high-dimensional tensor-based standardization algorithms perform well and can maintain the consistency of anatomical structures.
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| 关 键 词： | diffusion tensor imaging high dimensional spatial standardization registration template evaluation |
| 收稿时间： | 2018/5/3 0:00:00 |
High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration |
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| Tao Guo,Quan Wang,Yi Wang,Kun Xie.High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration[J].Journal of Beijing Institute of Technology,2018,27(4):604-616. |
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| Authors: | Tao Guo Quan Wang Yi Wang and Kun Xie |
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| Affiliation: | School of Computer and Science, Xidian University, Xi''an 710071, China,School of Computer and Science, Xidian University, Xi''an 710071, China,School of Electronics and Information, Northwestern Polytechnical University, Xi''an 710072, China and School of Computer and Science, Xidian University, Xi''an 710071, China |
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| Abstract: | Three high dimensional spatial standardization algorithms are used for diffusion tensor image (DTI) registration, and seven kinds of methods are used to evaluate their performances. Firstly, the template used in this paper was obtained by spatial transformation of 16 subjects by means of tensor-based standardization. Then, high dimensional standardization algorithms for diffusion tensor images, including fractional anisotropy (FA) based diffeomorphic registration algorithm, FA based elastic registration algorithm and tensor-based registration algorithm, were performed. Finally, 7 kinds of evaluation methods, including normalized standard deviation, dyadic coherence, diffusion cross-correlation, overlap of eigenvalue-eigenvector pairs, Euclidean distance of diffusion tensor, and Euclidean distance of the deviatoric tensor and deviatoric of tensors, were used to qualitatively compare and summarize the above standardization algorithms. Experimental results revealed that the high-dimensional tensor-based standardization algorithms perform well and can maintain the consistency of anatomical structures. |
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| Keywords: | diffusion tensor imaging high dimensional spatial standardization registration template evaluation |
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