Muscle Morphology, Mechanics, and Performance Laboratory
University of Colorado :: RMR VAMC :: ECHS GRECC
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
3MAP
news
L A B
3MAP Lab Joins the UCF Exercise Science Community at the 3rd Annual IEPERS Conference
Jan. 27, 2023 The Institute of Exercise Physiology and Rehabilitation Science at UCF hosts 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 will cover topics such as performance science, nutritional considerations for enhancing rehabilitation outcomes, and pain management. Dr. Harris-Love will present on muscle quality assessment and muscle texture analysis for Veterans with CKD
3MAP Lab Funded for COVID-19 VA Project
Dec. 7, 2020 Our lab group received funding for a patient care improvement project through the VA Cares Act. Our project concerning smartphone diagnostics to enhance the telerehab physical exam will help to identify Veterans with significant muscle impairments due to the COVID-19. This project is a partnership with the Renal Clinics at the RMR VAMC and the Baltimore VAMC.
New Laboratory Space for 3MAP Lab Now Open at the University of Colorado
March 27, 2021 The Muscle Morphology, Mechanics, and Performance Laboratory (3MAP Lab) was relocated to the University of Colorado Anschutz Medical Campus in the Fitzsimons Building and was opened for operations this week. 3MAP Lab will continue to support studies spanning semi-automated methods of muscle morphology assessment to exercise-based inter-ventions for older adults with chronic conditions. CU PM&R faculty utilizing the new lab space include Dr. Ryan Marker, Dr. Andrew Smith, and Laboratory Director, Dr. Michael Harris-Love.
.
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.
3MAP Lab Post-Doc Lands a Pilot Grant with CU PT Faculty Member
Nov. 1, 2020 Dr. Stephan Bodkin recently partnered with new CU PT faculty member, Dr. Andrew Smith, on a successful PM&R Pilot Grant submission. The project, "Machine learning to quantify muscle changes, lean body mass, and function in obese adults", will involve the creation and validation of semi-automated MRI image processing techniques to estimate lean body mass and tissue composition.
This imaging application has important potential uses for quantifying muscle changes due to disease and advanced age. This inter- disciplinary work will involve the Dept. of Endocrinology and the Dept. of Radiology at the CU School of Medicine.
