Abstract #3638

Comparison of dMRI Models for Skeletal Muscle Microstructure Estimation with Numerical Simulations and Porcine Phantom

Noel M. Naughton¹, Nicolas R. Gallo², Aaron T. Anderson^3,4, and John J. Georgiadis^2,5

¹Mechanical Science and Engineering, Univeristy of Illinois at Urbana Champaign, Urbana, IL, United States, ²Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, ³Beckman Institute for Advanced Science and Technology, Univeristy of Illinois at Urbana Champaign, Urbana, IL, United States, ⁴Radiology, Carle Foundation Hospital, Urbana, IL, United States, ⁵Mechanical Science and Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States

Four models used to estimate skeletal muscle microstructure from dMRI signal are applied to a ex-vivo porcine phantom and provide physiologically reasonable parameter estimates. These models are then compared to numerical simulations of dMRI over a simplified repeating elemental volume. When the estimated parameters are compared to the true underlying parameters of the numerical model, the estimated parameters are found to be substantially inaccurate, motivating the need for more sophisticated models of dMRI in muscle.

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