Abstract #0407

Combination of a Fat Volume Fraction Quantification Method with a Dedicated Automatic Segmentation Algorithm for Simultaneous Measurement of Infiltrated Fatty Tissue Fraction and Muscle Relaxation Times.

Benjamin Leporq¹, Arnaud Le Troter², Yann Le Fur², Emmanuelle Salort-Campana³, Patrick J. Cozzone², Olivier Beuf⁴, David Bendahan²

¹CREATIS; CNRS UMR 5220; INSERM U1044; INSA-Lyon; UCBL , Universit de Lyon, Villeurbanne, Rhone-Alpes, France; ²CRMBM; CNRS UMR 6612, Aix-Marseille Universit, Marseille, PACA, France; ³Reference Center for Neuromuscular Disorders, Timone Hospital, Assistance Publique Hopitaux de Marseille, Marseille, PACA, France; ⁴CREATIS; CNRS UMR 5220; INSERM U1044; INSA-Lyon; UCBL, Universit de Lyon, Villeurbanne, Rhone-Alpes, France

Due to its sensitivity to key processes in the diseased muscle such oedema, inflammation and fatty infiltration, MRI is emerging as a suitable quantitative method which could provide reliable surrogate markers of disease severity and progression. This work investigates the feasibility of a method to distinguish IMAT and SCAT, (ii) to measure muscle relaxation times (T1 andT2*) and to quantify the infiltrated fatty tissue fraction (IFTF) simultaneously. Our approach includes a magnitude-based fat volume fraction quantification method based on multiple-echo multiple angle acquisition with a dedicated automatic segmentation algorithm.