Institute for Advanced Biomedical Technologies, Department of Neuroscience and Imaging, G. D'Annunzio University, Chieti, Italy.
J Magn Reson Imaging. 2013 Jan;37(1):85-91. doi: 10.1002/jmri.23801. Epub 2012 Sep 17.
To investigate white matter heterogeneity using a multichannel segmentation of a large sample of structural and diffusion magnetic resonance imaging (MRI) data.
A sample of 50 subjects was segmented using channels comprising exclusively structural (longitudinal and transverse relaxation times T1 and T2 and transverse relaxation rate R2*) and diffusion-based MRI indices (mean diffusivity and fractional anisotropy). These data were analyzed using a data driven approach in which no prior information was used.
The analysis revealed the splitting of white matter into two subclasses in which the longitudinal fasciculi were distinguished from inferior/superior ones. The distribution of the adopted indices in the obtained clusters showed that R2* was mainly responsible for this splitting.
This result supports the observation, previously hypothesized in the literature, that R2* is influenced by the fiber orientation.
利用大量结构和弥散磁共振成像(MRI)数据的多通道分割,研究白质异质性。
采用仅包含结构(纵向和横向弛豫时间 T1 和 T2 以及横向弛豫率 R2*)和基于弥散的 MRI 指数(平均弥散度和各向异性分数)的通道,对 50 例样本进行分割。使用无先验信息的数据驱动方法对这些数据进行分析。
分析显示,白质可分为两类,其中纵向束与下/上束区分开来。所获得的聚类中采用的指标的分布表明,R2* 主要负责这种分裂。
这一结果支持了文献中先前假设的观察结果,即 R2* 受纤维方向的影响。