1.
Med Image Comput Comput Assist Interv
; 15(Pt 1): 569-76, 2012.
Article
in English
| MEDLINE
| ID: mdl-23285597
ABSTRACT
In this paper, we propose a novel approach for segmenting the skeletal muscles in MRI automatically. In order to deal with the absence of contrast between the different muscle classes, we proposed a principled mathematical formulation that integrates prior knowledge with a random walks graph-based formulation. Prior knowledge is represented using a statistical shape atlas that once coupled with the random walks segmentation leads to an efficient iterative linear optimization system. We reveal the potential of our approach on a challenging set of real clinical data.