Abstract #1153

Using the random permeable barrier model to predict fiber size in histology informed simulated skeletal muscle models

David B Berry¹, Erin K Englund², Vitaly Galinsky³, Lawrence R Frank³, and Samuel R Ward^2,3,4

¹Nanoengineering, University of California, San Diego, La Jolla, CA, United States, ²Orthopaedic Surgery, University of California, San Diego, La Jolla, CA, United States, ³Radiology, University of California, San Diego, La Jolla, CA, United States, ⁴Bioengineering, University of California, San Diego, La Jolla, CA, United States

There is growing interest in using the Random Permeable Barrier Model (RPBM) to measure muscle microstructure. The goal of this study was to evaluate the accuracy of RPBM in predicting muscle fiber size in histology informed models of healthy and injured skeletal muscle from simulated DTI data. RPBM was found to systematically underestimate fiber size, but accurately predicted surface area to volume ratio (S/V) of the simulated muscle fibers. While the clinical interpretation of S/V ratio is unclear, this indicates that accurate measurement of S/V may serve as a proxy to changes in muscle fiber size and therefore function.

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