Substantia Nigra Radiomics Feature Extraction of Parkinson’s Disease Based on Magnitude Images of Susceptibility-Weighted Imaging

Substantia Nigra Radiomics Feature Extraction of Parkinson’s Disease Based on Magnitude Images of Susceptibility-Weighted Imaging

BackgroundIt is reported that radiomic features extracted from quantitative susceptibility mapping (QSM) had promising clinical value for the diagnosis of Parkinson’s disease (PD). We aimed to explore the usefulness of radiomics features based on magnitude images to distinguish PD from non-PD contro...

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Bibliographic Details
Main Authors: Qingguo Ren, Yihua Wang, Shanshan Leng, Xiaomin Nan, Bin Zhang, Xinyan Shuai, Jianyuan Zhang, Xiaona Xia, Ye Li, Yaqiong Ge, Xiangshui Meng, Cuiping Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neuroscience
Subjects:
Parkinson’s disease
magnetic resonance imaging
machine learning
substantia nigra
neuropsychological tests
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.646617/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.646617/full

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