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多发性硬化症患者DTI图像定量化分析
引用本文:齐守良,李萌,高青君,余晖.多发性硬化症患者DTI图像定量化分析[J].东北大学学报(自然科学版),2018,39(9):1232-1237.
作者姓名:齐守良  李萌  高青君  余晖
作者单位:(1. 东北大学 中荷生物医学与信息工程学院, 辽宁 沈阳110169; 2. 贵州医科大学附属医院 影像科, 贵州 贵阳550004)
基金项目:国家自然科学基金资助项目(81671773); 贵州省普通高等学校工程研究中心资助项目(黔教合KY字[2016]012).国家自然科学基金资助项目(51171041).
摘    要:提出了一种联合体素和白质图谱的磁共振扩散张量成像(DTI)方法,明确了多发性硬化症(MS)患者脑白质中受损区域的位置和严重程度.通过计算受检者脑白质区域内各体素中水分子扩散的各向异性指数(FA)和平均扩散率(MD),找出MS患者组和健康对照组(HC)之间FA和MD存在显著性差异的体素及分布情况.结果表明,与HC组相比,MS组FA值在胼胝体体部、压部和双侧放射冠上部等11个脑区有显著性降低;MD值在胼胝体体部、压部和右侧内囊后肢等22个脑区有显著性升高,为临床MS诊断和治疗提供了更有效的参考价值.

关 键 词:多发性硬化症  基于体素分析  扩散张量成像  白质图谱  磁共振成像  

Quantitative Analysis of Diffusion Tensor Imaging of Subjects with Multiple Sclerosis
QI Shou-liang,LI Meng,GAO Qing-jun,YU Hui.Quantitative Analysis of Diffusion Tensor Imaging of Subjects with Multiple Sclerosis[J].Journal of Northeastern University(Natural Science),2018,39(9):1232-1237.
Authors:QI Shou-liang  LI Meng  GAO Qing-jun  YU Hui
Institution: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.
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.
Keywords:multiple sclerosis  voxel-based analysis  diffusion tensor imaging  white matter parcellation mapping  magnetic resonance imaging  
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