Abstract #1132

Evaluating Structural and Functional Lower-limb Asymmetries through MRI and Wearable Sensors

Andrew M Schmidt¹, Elka Rubin¹, Michael Ko¹, Lauren E Watkins², Marco Barbieri¹, Laurel Hales³, Garry Gold^1,2, Scott Delp^2,4,5, Feliks Kogan¹, Valentina Mazzoli¹, and Akshay S Chaudhari^1,6

¹Radiology, Stanford University, Stanford, CA, United States, ²Bioengineering, Stanford University, Stanford, CA, United States, ³Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Mechanical Engineering, Stanford University, Stanford, CA, United States, ⁵Orthopaedic Surgery, Stanford University, Stanford, CA, United States, ⁶Biomedical Data Science, Stanford University, Stanford, CA, United States

Synopsis

Current evaluation methods of rehabilitation following acute musculoskeletal injuries are largely qualitative. MRI and biomechanics tools can provide sensitive, quantitative measures of knee joint and lower extremity muscle changes, but the relationship between MRI and gait markers is not well characterized. We combined an MRI protocol with wearable sensors in healthy participants to characterize the relationship between gait kinematic asymmetries and thigh muscle and cartilage morphology and composition. We show that vastus lateralis (VL) muscle microstructure assessed via Diffusion Tensor Imaging (DTI) may be sensitive to gait variations. Future work may further explore these correlations in patients with musculoskeletal injuries.

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