| Literature DB >> 29247318 |
Jian-Kun Dai1,2, Shu-Xia Wang1, Dai Shan1, Hai-Chen Niu3, Hao Lei4,5.
Abstract
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to study white and gray matter (GM) micro-organization and structural connectivity in the brain. Super-resolution track-density imaging (TDI) is an image reconstruction method for dMRI data, which is capable of providing spatial resolution beyond the acquired data, as well as novel and meaningful anatomical contrast that cannot be obtained with conventional reconstruction methods. TDI has been used to reveal anatomical features in human and animal brains. In this study, we used short track TDI (stTDI), a variation of TDI with enhanced contrast for GM structures, to reconstruct direction-encoded color maps of fixed tree shrew brain. The results were compared with those obtained with the traditional diffusion tensor imaging (DTI) method. We demonstrated that fine microstructures in the tree shrew brain, such as Baillarger bands in the primary visual cortex and the longitudinal component of the mossy fibers within the hippocampal CA3 subfield, were observable with stTDI, but not with DTI reconstructions from the same dMRI data. The possible mechanisms underlying the enhanced GM contrast are discussed.Entities:
Keywords: Diffusion tensor imaging; Hippocampus; Primary visual cortex; Track-density imaging; Tree shrew
Mesh:
Year: 2017 PMID: 29247318 PMCID: PMC5960443 DOI: 10.1007/s12264-017-0199-x
Source DB: PubMed Journal: Neurosci Bull ISSN: 1995-8218 Impact factor: 5.203