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Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration

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Fast and accurate thigh muscle segmentation from MRI is important for quantitative assessment of thigh muscle morphology and composition. A novel deep learning (DL) based thigh muscle and surrounding tissues… Click to show full abstract

Fast and accurate thigh muscle segmentation from MRI is important for quantitative assessment of thigh muscle morphology and composition. A novel deep learning (DL) based thigh muscle and surrounding tissues segmentation model was developed for fully automatic and reproducible cross‐sectional area (CSA) and fat fraction (FF) quantification and tested in patients at 10 years after anterior cruciate ligament reconstructions.

Keywords: thigh muscle; assessment thigh; muscle; deep learning; muscle morphology; quantitative assessment

Journal Title: Magnetic Resonance in Medicine
Year Published: 2023

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