Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (9): 1232-1237.DOI: 10.12068/j.issn.1005-3026.2018.09.004

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Quantitative Analysis of Diffusion Tensor Imaging of Subjects with Multiple Sclerosis

QI Shou-liang1, LI Meng1, GAO Qing-jun1, YU Hui2   

  1. 1. School of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110169, China; 2. Department of Radiology, the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China.
  • Received:2017-05-08 Revised:2017-05-08 Online:2018-09-15 Published:2018-09-12
  • Contact: YU Hui
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Abstract: A novel analysis method of magnetic resonance diffusion tensor imaging (DTI) was proposed, which combined the voxel-based analysis (VBA) with the white matter parcellation mapping (WMPM). Using this method, the locations and severities of white matter lesions of multiple sclerosis (MS) patients have been clarified. The voxels with significant difference of the fractional anisotropy (FA) and the mean diffusivity (MD) between MS patients and healthy controls (HC) are identified by VBA, and the distributions of these voxels in different white matter parcellations can be determined. It is shown that FA in MS group is significantly lower in 11 parcellations, mainly located at body and splenium of corpus callosum and both sides of corona radiate top. On the contrary, the higher MD is found in 22 parcellations including body and splenium of corpus callosum and posterior limb of right internal capsule. Therefore, the quantitative analysis of DTI through the proposed method provides effective references for the diagnosis and treatment of MS patients.

Key words: multiple sclerosis, voxel-based analysis, diffusion tensor imaging, white matter parcellation mapping, magnetic resonance imaging

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