Wang Sijia, Peterson Daniel J, Wang Yong, Wang Qing, Grabowski Thomas J, Li Wenbin, Madhyastha Tara M
Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Department of Radiology, University of Washington, Seattle, WA, USA.
Front Neurol. 2017 Mar 29;8:118. doi: 10.3389/fneur.2017.00118. eCollection 2017.
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.
随着扩散张量成像的广泛应用，许多研究人员受到激励，希望超越张量模型，拟合更复杂的扩散模型，以更全面地描述白质微观结构和相关病理学。扩散峰度成像（DKI）和扩散基谱成像（DBSI）就是这样的两种模型。目前尚不清楚哪些DKI参数与DBSI参数关系最为密切，因此，为了便于对DKI和DBSI研究进行比较，我们使用相同的扩散采集方法，对12名健康志愿者中这两种模型的相互关系进行了实证研究。我们发现，平均峰度与DBSI纤维比率呈正相关，与受阻比率呈负相关。这主要由峰度的径向分量驱动。峰度的轴向分量与受限比率强烈且特定相关。DBSI和DKI参数的联合空间分布取决于组织，并且在健康个体中是稳定的。我们的贡献在于更好地理解了这两种模型在健康个体中生成的参数的生物学可解释性。
