Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults

被引:9
作者
Wang, Sijia [1 ,2 ]
Peterson, Daniel J. [2 ]
Wang, Yong [3 ,4 ,5 ]
Wang, Qing [4 ]
Grabowski, Thomas J. [2 ,6 ]
Li, Wenbin [1 ]
Madhyastha, Tara M. [2 ]
机构
[1] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Inst Diagnost & Intervent Radiol, Shanghai, Peoples R China
[2] Univ Washington, Dept Radiol, Seattle, WA 98195 USA
[3] Washington Univ, Dept Obstet & Gynecol, St Louis, MO USA
[4] Washington Univ, Dept Radiol, St Louis, MO USA
[5] Washington Univ, Dept Biomed Engn, St Louis, MO USA
[6] Univ Washington, Dept Neurol, Seattle, WA 98195 USA
基金
中国国家自然科学基金; 美国国家卫生研究院;
关键词
diffusion basis spectrum imaging; diffusion kurtosis imaging; diffusion tensor imaging; model comparison; diffusion magnetic resonance imaging; MULTIPLE-SCLEROSIS; HUMAN BRAIN; SPHERICAL DECONVOLUTION; AXON DIAMETER; WEIGHTED MRI; WHITE-MATTER; DENSITY; QUANTIFICATION; VALIDATION; TENSORS;
D O I
10.3389/fneur.2017.00118
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such models are diffusion kurtosis imaging (DKI) and diffusion basis spectrum imaging (DBSI). It is not clear which DKI parameters are most closely related to DBSI parameters, so in the interest of enabling comparisons between DKI and DBSI studies, we conducted an empirical survey of the interrelation of these models in 12 healthy volunteers using the same diffusion acquisition. We found that mean kurtosis is positively associated with the DBSI fiber ratio and negatively associated with the hindered ratio. This was primarily driven by the radial component of kurtosis. The axial component of kurtosis was strongly and specifically correlated with the restricted ratio. The joint spatial distributions of DBSI and DKI parameters are tissue-dependent and stable across healthy individuals. Our contribution is a better understanding of the biological interpretability of the parameters generated by the two models in healthy individuals.
引用
收藏
页数:11
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