Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI

Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI

Abstract Background Time-efficient and accurate whole volume thigh muscle segmentation is a major challenge in moving from qualitative assessment of thigh muscle MRI to more quantitative methods. This study developed an automated whole thigh muscle segmentation method using deep learning for reprodu...

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Bibliographic Details
Main Authors: Jie Ding, Peng Cao, Hing-Chiu Chang, Yuan Gao, Sophelia Hoi Shan Chan, Varut Vardhanabhuti
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Insights into Imaging
Subjects:
Thigh muscle segmentation
Deep learning
Fat–water decomposition MRI
Quantitative MRI analysis
Online Access:https://doi.org/10.1186/s13244-020-00946-8

Internet

https://doi.org/10.1186/s13244-020-00946-8

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