Volume measurements of individual muscles in human quadriceps femoris using atlas-based segmentation approaches.

Arnaud Le TroterAlexandre FouréMaxime GuyeSylviane Confort-GounyJean-Pierre MatteiJulien GondinEmmanuelle Salort-CampanaDavid Bendahan

Published in: Magma (New York, N.Y.) (2016)

In the present study, we demonstrated that both multi-atlas and single-atlas approaches were relevant for the segmentation of individual muscles of the QF in healthy subjects. Considering muscle volume measurements, the single-atlas method provided promising perspectives regarding longitudinal quantification of individual muscle volumes.

Keyphrases

single cell
deep learning
skeletal muscle
convolutional neural network
endothelial cells
machine learning