Factors affecting the voxel-based analysis of diffusion tensor imaging

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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;
刊名	CHINESE SCIENCE BULLETIN
	2014
卷号	59 期号:31 页码:4077-4085
关键词	Diffusion tensor imaging Statistical parametric mapping Jaccard similarity Fractional anisotropy Voxel-based analysis
英文摘要	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.
学科主题	Science & Technology - Other Topics
收录类别	SCI
WOS记录号	WOS:000342421100017
公开日期	2016-05-03
内容类型	期刊论文
源URL	[http://ir.ihep.ac.cn/handle/311005/224971]
专题	高能物理研究所_核技术应用研究中心
推荐引用方式 GB/T 7714	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.