Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

Tissue pathology in multiple sclerosis (MS) is highly complex, requiring multi-dimensional analysis. In this study, our goal was to test the feasibility of obtaining high angular resolution diffusion imaging (HARDI) metrics through single-shell modeling of diffusion tensor imaging (DTI) data, and in...

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Bibliographic Details
Main Authors: Olayinka Oladosu, Wei-Qiao Liu, Bruce G. Pike, Marcus Koch, Luanne M. Metz, Yunyan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neuroscience
Subjects:
single-shell high angular resolution diffusion imaging
diffusion tensor imaging
tractography
support vector machine
lesions
intra-lesion pathology
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.634063/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.634063/full

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