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Abstract #1621

Quantitative Assessment of Muscle Oxygen Saturation with BOLD MRI: Validated by Near-Infrared Spectroscopy (NIRS)

Jeff L. Zhang1, Christopher J. Hanrahan1, Gwenael Layec2, Jason K. Mendes1, Corey Hart2, Russell S. Richardson2, Vivian S. Lee1

1Department of Radiology, University of Utah, Salt Lake City, UT, United States; 2Department of Internal Medicine, Division of Geriatrics, University of Utah, Salt Lake City, UT, United States


Compared with established tools, BOLD MRI is able to evaluate deep tissue and allows a combination of functional data with high-resolution anatomic images. Higher R2* values from BOLD typically correspond to lower muscle tissue oxygenation. However, R2* may be confounded by many factors that are not related to tissue pO2. For example, Lebon et al found that R2* values from calf muscle were strongly affected by the angle between the leg and magnetic field B0. In this study, we take into account multiple confounding factors by simulating muscle BOLD with a realistic Monte Carlo model, and quantify blood oxygen saturation (SHb) from BOLD data based on the model.

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