Header image   Computational Biomechanics Group  
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Research Projects
 
Development of a Probabilistic Finite Element Model of the Lumbar Spine
Vertebral bodies are reconstructed from subject-specific image data. Probabilistic methods are used to capture the variability in anatomy, soft tissue properties, and surgical parameters.
 
Computational Wear Simulation of a TDR
Explicit dynamics are used to produce a robust simulation of implant contact mechanics. Interface options include metal-on-metal or polyethylene bearings with cross-shear effects.
 
Facet Force Relative to Disc Degeneration and Disc Replacement
Tekscan sensors are used to measure load tranmission across the facet joints in the lumbar spine.
Support: Synthes Spine
 
Additional Projects
Development of an Efficient Deterministic Lumbar Spine Model
CAS vs. Manual Alignment in THA: A Probabilistic Study of Range of Motion
Design of a Novel Lumbar Spine Testing Device
Predicting Backside and Post Wear in Mobile-Bearing PS Total Knees