Abstract #2779

Diffusion Tensor Imaging of tendon and ligament: Influence of crimping behavior and microstructural variations.

Noel Naughton¹, Amir Ostadi Moghaddam¹, Mariana Kersh^1,2,3, Samni Koyejo⁴, Shreyan Majumdar¹, Amy Wagoner Johnson^1,2,3,5, and Bruce Damon^1,6

¹Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ³Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁴Computer Science Department, Stanford University, Palo Alto, CA, United States, ⁵Carle R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁶Carle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, United States

Synopsis

Keywords: Tendon/Ligament, Diffusion Tensor ImagingTo guide development and optimization of dMRI protocols, here we present a numerical simulation framework for analyzing how changes in collagen microstructure influence the measured diffusion tensor. We experimentally characterize a porcine digital flexor tendon using second harmonic generation (SHG) microscopy to identify characteristic geometric parameters and use these parameter ranges to perform a sensitivity analysis of what microstructural features most influence diffusion tensor imaging (DTI) metrics. We conclude by exploring how geometric changes in collagen crimping due to tissue strain influence DTI metrics.

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