Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases.

Harmen ReyngoudtBenjamin MartyJean-Marc BoisserieJulien Le LouërCedi KoumakoPierre-Yves BaudinBrenda WongTanya StojkovicAnthony BéhinTeresa GidaroYves AllenbachOlivier BenvenisteLaurent ServaisPierre G Carlier

Published in: European radiology (2020)

• MRI-based evaluation of fatty replacement in muscles is used as an outcome measure in the assessment of 1-year disease progression in 8 different neuromuscular diseases. • Different segmentation approaches, including global muscle segmentation, were evaluated for determining 1-year fat fraction changes in lower limb skeletal muscles. • Global muscle segment fat fraction has shown to be sensitive to change in lower leg and thigh in most of the investigated neuromuscular diseases.

Keyphrases

lower limb
deep learning
convolutional neural network
adipose tissue
skeletal muscle
fatty acid
contrast enhanced
magnetic resonance imaging
diffusion weighted imaging
high resolution
magnetic resonance