Meeting Banner
Abstract #4011

Sub-voxel Estimation of Fat Infiltration in Degenerative Muscle Disorders using Multi-T2 Analysis – a Quantitative Disease Biomarker

Jannette Nassar1, Yann Le Fur2, Dvir Radunsky1, Tamar Blumenfeld-Katzir1, David Bendahan2, and Noam Ben-Eliezer1,3,4

1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2CNRS, CRMBM, Aix Marseille University, Marseille, France, 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 4Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

T2 relaxation is an effective biomarker for muscle pathologies including inflammation, necrosis, or fatty infiltration. Accurate quantification of T2 values is hampered due to the inherent bias of fast multi-echo spin-echo (MESE) protocols by stimulated echoes. The echo-modulation curve (EMC) algorithm overcomes this problem and provides accurate T2 values which are stable across scanners and scan-settings. In this work, we present an extension of the EMC algorithm for T2-based fat/water quantification, alongside two new quantitative biomarkers of disease state. The technique is demonstrated on a calf muscle of a patient with Dysferlinopathy, and compared to conventional Dixon analysis.

This abstract and the presentation materials are available to members only; a login is required.

Join Here