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Abstract #1439

Probing muscle recovery following downhill running using precise mapping of MRI’s T2 relaxation times

Maria Holodov1, Irit Markus2, Chen Solomon1, Shimon Shahar3, Tamar Blumenfeld-Katzir1, Yftach Gepner2, and Noam Ben-Eliezer1,4,5
1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Epidemiology and Preventive Medicine, School of Public Health and Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv, Israel, 3Center of AI and Data Science (TAD), Tel Aviv University, Tel Aviv, Israel, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Synopsis

Keywords: Muscle, Skeletal

Post-exercise recovery rate is vital for planning training protocols, maintaining high-level performance, and preventing injuries. Notwithstanding the advancement of noninvasive imaging, there is still a lack in efficient tools for monitoring muscle state and post-exercise due to the relatively small changes in the muscles’ microarchitecture, and the high variability in recovery rate between and within participants. Here we utilized the echo-modulation-curve (EMC) algorithm, a highly accurate and precise tool for mapping T2 relaxation times, to track muscle damage and recovery following exercise. Results show that this approach provides new insights into the microstructural processes that occur following exercise.

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Keywords