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Evaluation on diffusion tensor image registration algorithms

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Abstract

With the application in many neuroimaging studies, diffusion tensor image (DTI) registration has generated considerable interest and been studied widely. Although a number of DTI registration methods have been developed, their performances have not yet been compared systematically. This work addresses this gap by comparing a large number of existing DTI registration methods and gives the comprehensive evaluation results. In this paper, the open-access IXI DTI dataset were used. In order to compare the accuracy of tensor matching, 11 open-source registration methods were evaluated with 7 quantitative and open-access evaluation criteria that measure the similarity among tensors (namely tensor-based techniques) or scalar images derived from diffusion tensors (namely scalar-based techniques). The evaluation results indicate that the diffeomorphic deformable tensor registration method (referred to as DTI-TK) is the best method, followed by the symmetric image normalization method (referred to as SyN).

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Acknowledgments

This work was supported by the National Nature Science Foundation of China (Grant No. 60903127, 61372063, 61202314, 61402371); Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2015JM6317, 2013JQ8039); Fundamental Research Funds for the Central Universities (Grant No. 3102014JCQ01060); NPU Foundation for Fundamental Research (Grant No. JCY20130130); Graduate Starting Seed Fund of Northwestern Polytechnical University (Grant No. Z2014137), Xi’an, Shaanxi, China.

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Authors and Affiliations

  1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710072, China

    Yi Wang, Qian Yu, Zhe Guo, Min Qi & Yangyu Fan

  2. School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China

    Zhexing Liu

  3. School of Information and Electronics Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China

    Tao Lei

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  1. Yi Wang
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  2. Qian Yu
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  3. Zhexing Liu
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  4. Tao Lei
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  5. Zhe Guo
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  6. Min Qi
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  7. Yangyu Fan
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Correspondence to Yi Wang.

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Wang, Y., Yu, Q., Liu, Z. et al. Evaluation on diffusion tensor image registration algorithms. Multimed Tools Appl 75, 8105–8122 (2016). https://doi.org/10.1007/s11042-015-2727-x

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  • DOI: https://doi.org/10.1007/s11042-015-2727-x

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