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Factors affecting the voxel-based analysis of diffusion tensor imaging
Wang JL(王建立); Nie BB(聂彬彬); Zhu HT(朱海涛); Wang, JL; Nie, BB; Zhu, HT; Liu, H; Wang, JJ; Duan, SF; Shan, BC;; Liu H(刘华); Wang JJ(王静娟); Duan SF(段绍峰); Dan BC(单保慈)
2014
发表期刊CHINESE SCIENCE BULLETIN
卷号59期号:31页码:4077-4085
摘要Diffusion tensor imaging (DTI) provides a unique method to reveal the integrity of white matter microstructure noninvasively. Voxel-based analysis (VBA), which is a highly reproducible and user-independent technique, has been used to analyze DTI data in a number of studies. Fractional anisotropy (FA), which is derived from DTI, is the most frequently used parameter. The parameter setting during the DTI data preprocessing might affect the FA analysis results. However, there is no reliable evidence on how the parameters affect the results of FA analysis. This study sought to quantitatively investigate the factors that might affect the voxel-based analysis of FA; these include the interpolation during spatial normalization, smoothing kernel and statistical threshold. Because it is difficult to obtain the true information of the lesion in the patients, we simulated lesions on the healthy FA maps. The DTI data were obtained from 20 healthy subjects. The FA maps were calculated using DTIStudio. We randomly divided these FA maps into two groups. One was used as a model patient group, and the other was used as a normal control group. Simulated lesions were added to the model patient group by decreasing the FA intensities in a specified region by 5 %-50 %. The model patient group and the normal control group were compared by two-sample t test statistic analysis voxel-by-voxel to detect the simulated lesions. We evaluated these factors by comparing the difference between the detected lesion through VBA and the simulated lesion. The result showed that the space normalization of FA image should use the trilinear interpolation, and the smoothing kernel should be 2-3 times the voxel size of spatially normalized FA image. For lesions with small intensity change, FWE correction must be cautiously used. This study provided an important reference to the analysis of FA with VBA method.
关键词Diffusion tensor imaging Statistical parametric mapping Jaccard similarity Fractional anisotropy Voxel-based analysis
学科领域Science & Technology - Other Topics
DOI10.1007/s11434-014-0551-8
收录类别SCI
WOS记录号WOS:000342421100017
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ihep.ac.cn/handle/311005/224971
专题核技术应用研究中心
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Wang JL,Nie BB,Zhu HT,et al. Factors affecting the voxel-based analysis of diffusion tensor imaging[J]. CHINESE SCIENCE BULLETIN,2014,59(31):4077-4085.
APA 王建立.,聂彬彬.,朱海涛.,Wang, JL.,Nie, BB.,...&单保慈.(2014).Factors affecting the voxel-based analysis of diffusion tensor imaging.CHINESE SCIENCE BULLETIN,59(31),4077-4085.
MLA 王建立,et al."Factors affecting the voxel-based analysis of diffusion tensor imaging".CHINESE SCIENCE BULLETIN 59.31(2014):4077-4085.
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