Benjamin Leporq1, Yann Le Fur2, Patrick Cozzone2, Olivier Beuf1, David Bendahan2
1CREATIS; CNRS UMR 5220; INSERM U1044; INSA-Lyon; UCBL Lyon 1, Villeurbanne, Rhne-Alpes, France; 2CRMBM; CNRS UMR 6612; Universit Aix-Marseille, Marseille, PACA, France
Due to its sensitivity to key processes in the diseased muscle such as edema and fat infiltration, MRI is emerging as a suitable quantitative method which could provide reliable surrogate markers of disease severity and progression. The aim of this work was to evaluate the feasibility of 3D segmentation of fat and muscular tissue using a triple-angles multiple gradient-echo acquisition. Our approach includes a complex-based technique for fat volume fraction (FVF) quantification with independent measurements of fat and water T1 and T2*and corrections from T1-related bias and spectral complexity of fat.