Validating subject-specific muscle architecture data for musculoskeletal models using diffusion tensor MRI
This study aims to validate the method of using various magnetic resonance imaging (MRI) sequences to gather skeletal muscle architecture, which are important determinants of muscle force-generating properties. T1 MRI sequences are used to estimate muscle mass, and diffusion tensor MRI (DTI) sequences are used to track and create 3D representations of individual muscle fibers, where fiber lengths and fiber pennation angles can be measured. These data can be input into musculoskeletal models, to improve their subject specificity.
Principal Investigator: James Charles, PhD
Co-Investigator: William Anderst, PhD
Biomechanical Models for lower extremity gait cycles in healthy adults
The purpose of this study is to develop a framework to quickly and efficiently create subject-specific musculoskeletal models of the lower extremity during walking and running. These models can be used to estimate in vivo muscle forces which can then be input to finite element models to estimate in vivo tissue stress.
Principal Investigator: James Charles, PhD
Co-Investigator: William Anderst, PhD