Identification and Classification of Alzheimer’s Disease Patients Using Novel Fractional Motion Model

Identification and Classification of Alzheimer’s Disease Patients Using Novel Fractional Motion Model

Most diffusion magnetic resonance imaging (dMRI) techniques use the mono-exponential model to describe the diffusion process of water in the brain. However, the observed dMRI signal decay curve deviates from the mono-exponential form. To solve this problem, the fractional motion (FM) model has been...

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Bibliographic Details
Main Authors: Lei Du, Boyan Xu, Zifang Zhao, Xiaowei Han, Wenwen Gao, Sumin Shi, Xiuxiu Liu, Yue Chen, Yige Wang, Shilong Sun, Lu Zhang, Jiahong Gao, Guolin Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Neuroscience
Subjects:
diffusion magnetic resonance imaging
fractional motion model
anomalous diffusion
Alzheimer’s disease
hippocampus
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00767/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00767/full

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