CU Denver | Rocky Mountain Regional VAMC
Muscle Morphology, Mechanics, and Performance Laboratory
ABOUT THE LAB
The Muscle Morphology, Mechanics, and Performance Laboratory (3MAP Lab) is located at the University of Colorado Anschutz Medical Campus, and linked to Rocky Mountain Regional VA Medical Center (RMR VAMC) through the Eastern Colorado Health Care System Geriatric Research, Education and Clinical Center (ECHS GRECC). Laboratory facilities are also available to member investigators of the Colorado Clinical and Translational Sciences Institute (CCTSI).
Current laboratory efforts include the development of sonographic methods for sarcopenia and myosteatosis screening. We are also exploring the physiologic advantages of eccentric muscle actions for use in rehabilitation interventions for older adults.
In addition to non-invasive morphology assessment via sonography, our activities include characterizing motor performance through the development or refinement of methods such as force control testing, anaerobic fatigue measurement, maximal force and torque testing, and functional batteries.
REHAB SCIENCE | APPLIED SCIENCE
3MAP Lab team members and trainees are a diverse group of clinical investigators with experience in physical therapy, kinesiology, physiology, and exercise science. Our transdisciplinary approach to rehabilitation science involves collaborative work with sonographers, radiologists, and bioengineers.
3MAP Lab at the UCF 3rd Annual IEPERS Conference
Jan. 27, 2023 The Institute of Exercise Physiology and Rehabilitation Science at UCF recently hosted its third Annual Conference on Friday, January 27 and Saturday, January 28th. The IEPRS conference brings together students, researchers, clinicians, and practitioners from a variety of disciplines and backgrounds. Investigators covered topics such as performance science, nutritional considerations for enhancing rehabilitation outcomes, and pain management. Dr. Harris-Love presented on muscle quality assessment and muscle texture analysis for Veterans with CKD.
Post-Doc, Dr. Bodkin, Leads the Way on Our Paper About Imaging Predictions of Muscle Mass & Strength
Feb. 14, 2022 Using convolutional neural networks (CNN) to develop automated quantification of mid-thigh cross-sectional area, Dr. Bodkin determined that CNN-measured mid-thigh cross sectional areas were accurate compared to manual segmented values from this anatomical region. The CNN values were strongly predictive of clinical measures of muscle mass and knee extensor torque. This work may aid body composition assessment by increasing the efficiency of measurement when using MRI.