Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson’s disease

Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson’s disease

Abstract Objectives The literature regarding the use of diffusion-tensor imaging-derived metrics in the evaluation of Parkinson’s disease (PD) is controversial. This study attempted to assess the feasibility of a deep-learning-based method for detecting alterations in diffusion kurtosis measurements...

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Bibliographic Details
Main Authors: Junyan Sun, Ruike Chen, Qiqi Tong, Jinghong Ma, Linlin Gao, Jiliang Fang, Dongling Zhang, Piu Chan, Hongjian He, Tao Wu
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Brain Informatics
Subjects:
Parkinson’s disease
Diffusion kurtosis imaging
Convolutional neural network
Mean kurtosis
Kurtosis fractional anisotropy
Mean diffusivity
Online Access:https://doi.org/10.1186/s40708-021-00139-z

Internet

https://doi.org/10.1186/s40708-021-00139-z

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