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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/s12428-014-0056-x

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1573-7721

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Evaluation on diffusion tensor image registration

Authors: Yi Wang Qian Yu Zhexing Liu Tao Lei Zhe Guo Min Qi Yangyu Fan
Publish Date: 2015/06/21
Volume: 75, Issue: 13, Pages: 8105-8122
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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 openaccess IXI DTI dataset were used In order to compare the accuracy of tensor matching 11 opensource registration methods were evaluated with 7 quantitative and openaccess evaluation criteria that measure the similarity among tensors namely tensorbased techniques or scalar images derived from diffusion tensors namely scalarbased techniques The evaluation results indicate that the diffeomorphic deformable tensor registration method referred to as DTITK is the best method followed by the symmetric image normalization method referred to as SyNThis 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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