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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Detalhes bibliográficos

Principais autores:	Junyan Sun, Ruike Chen, Qiqi Tong, Jinghong Ma, Linlin Gao, Jiliang Fang, Dongling Zhang, Piu Chan, Hongjian He, Tao Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2021-09-01
coleção:	Brain Informatics
Assuntos:	Parkinson’s disease Diffusion kurtosis imaging Convolutional neural network Mean kurtosis Kurtosis fractional anisotropy Mean diffusivity
Acesso em linha:	https://doi.org/10.1186/s40708-021-00139-z
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