Résumé
Acute loss of skeletal muscle mass is a common feature of several pathologies such as stroke, cancer, chronic obstructive pulmonary disease. Whatever the pathology leading to muscle loss, it is associated with worse outcome and hindered quality of life. Whatever the pathology inducing muscle wasting, worse outcome is leading to prolonged hospitalization, prolonged weakness and less efficient rehabilitation. Having a none invasive method to accurately quantify muscle mass is of crucial interest to follow procedure that could prevent muscle wasting and restore physical capacity, mobility and optimize motor recovery. The aim of the current study is to propose an automatic segmentation technique to quantify muscle mass.