Musculoskeletal Modeling

Research in musculoskeletal biomechanics encompasses the behavior of isolated tissue such as bone, cartilage, ligament, tendon and muscle as well as research on the interaction of these tissues and body movement. Our work at UMKC focuses on predicting loading on joint tissues (i.e. cartilage, menisci, and ligaments) during movement. This research involves developing body and joint level computational models combined with experimental measurements. For example, experimental body level measurements obtained in the UMKC Human Motion Lab. Various funded projects in musculoskeletal modeling are described below.

Recent and Current Research

Subject Specific Concurrent Simulation of Movement and Natural Knee Contact Mechanics

Principal Investigator(s): Trent Guess, Ph.D.
Funded by: National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases, $444,150 8/1/11 to 7/31/14
Award Number: RAR061698A
Goal: This work will translate previously developed computational and experimental methods to produce tools that predict patient specific loading on knee structures and tissues during ambulation. This technology would enable greater understanding of knee biomechanics and tissue function and enable personalized intervention strategies aimed at modifying gait to reduce stress on knee cartilage.

MRI: Acquisition of Mechanical Testing Equipment to Support Musculoskeletal Research and Engineering Education

Principal Investigator(s): Trent Guess, Ph.D.
Funded by: The National Science Foundation (NSF), $234,917, 1/1/11 to 12/31/12
Award Number: CMMI-1039524
Goal: Measuring the mechanical properties of biological tissue, such as ligaments and bone, is important for understanding the function of these tissues. Characterization of mechanical properties is often performed using testing machines that apply a known force to tissue specimens and then record the resulting displacement. This project will purchase mechanical testing equipment capable of bi-axial loading and related motion instrumentation for use primarily in musculoskeletal and orthopaedic research.

Computational Simulation of Canine Biomechanically Induced Unicompartmental Osteoarthritis: a Concurrent Multiscale Approach

Principal Investigator(s): Trent Guess, Ph.D.
Co-Principal Investigator(s): James Cook, Ph.D., DVM, Ganesh Thiagarajan, Ph.D., P.E., Reza Derakshani, Ph.D.
Funded by: Missouri Life Sciences Research Board, $556,957, 2/1/09 to 1/31/12
Award Number: 09-1078
Goal: Develop computational models of canine gait that include concurrent simulation at the body and tissue levels.

MRI: Acquisition of an Experimental Platform to Support Research and Educational Activities in Human Motion

Principal Investigator(s): Trent Guess, Ph.D.
Co-Principal Investigator(s): Greg King, Ph.D., Reza Derakshani, Ph.D., Walter Leon-Sallas, Ph.D.
Funded by: The National Science Foundation (NSF), $263,685, 9/1/08 to 8/31/11
Award Number: CBET-0821459
Goal: To obtain equipment related to the measurement of human motion through the National Science Foundation’s Major Research Instrumentation program.

Dynamic Simulation of Joints Using Multi-Scale Modeling

Principal Investigator(s): Trent Guess, Ph.D.
Co-Principal Investigator(s): Ganesh Thiagarajan, Ph.D., Reza Derakshani, Ph.D.
Funded by: The National Science Foundation (NSF), $453,990, 09/01/05 to 08/31/09
Award Number: CMS-0506297
Goal: Develop computational models of the knee that accurately represent the loading and interaction of knee structures and that also have the computational efficiency for inclusion in musculoskeletal models. The project also includes development of surrogate models, including neural network models of the human tibio-femoral joint and structures.