Title: Evaluation of human brain aging via diffusion tensor imaging tract characteristics
Abstract: Diffusion tensor imaging (DTI) is a kind of imaging technique and it has been widely used in the evaluation of white matter (WM) in aging brain. In our study, DTI fiber tracking (FT) reconstruct the 3D fiber tracts for two normal male cases aiming to investigate the changes of WM for brain aging. Eight geometric and diffusion tract characteristics, number of fibers (NF), average length (AL), fractional anisotropy (FA), relative anisotropy (RA), mean diffusivity (MD), linear tensor (C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</sub> ), number of voxels (NV) and volume ratio (VR), were measured for the tracts of corpus callosum (CC), corticospinal tract (CST) and whole brain tracts (WBT). After comparison in 2D and 3D views, the results showed that NF, AL, FA, RA, C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</sub> , NV and VR decreases and MD shows marginal increase. It is concluded that our proposed scheme is robust for the study of brain aging and the chosen tract characteristics of NF, AL, FA, RA, C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">l</sub> , NV and VR could explain the degenerative WM changes correlated with the brain aging and could be taken as markers for tract estimation.
Publication Year: 2017
Publication Date: 2017-07-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot