William J. Anderst, PhD

  • Assistant Professor, Department of Orthopaedic Surgery
  • Director, Biodynamics Lab

I am Director of the Biodynamics Laboratory, a core facility within the Department of Orthopaedic Surgery at the University of Pittsburgh. Our laboratory performs in vivo motion analysis and subject-specific computational modeling to study a broad variety of musculoskeletal pathologies. Our lab performs 200-250 tests per year using the biplane radiography system and is presently supported by NIH, DOD, industry and foundation grants. I have over 20 years of experience working with biplane radiography, directing human motion analysis studies, collaborating with clinical faculty, and developing innovative analysis tools to characterize in vivo joint mechanics.

Representative Publications

  1. Anderst, W., Zauel, R., Bishop, J., Demps, E. and Tashman, S. (2009). Validation of three-dimensional model-based tibio-femoral tracking during running. Medical Engineering and Physics, 31, 10-16.
  2. Dombrowski, M., Rynearson, B., LeVasseur, C., Adgate, Z., Donaldson, W., Lee, J., Anderst W. (2018). ISSLS PRIZE IN BIOENGINEERING SCIENCE 2018: Dynamic imaging of degenerative spondylolisthesis reveals mid-range dynamic lumbar instability not evident on static clinical radiographs. European Spine Journal, 27(4):752-762.
  3. Anderst, W. and Tashman, S. (2003). A Method to Estimate In Vivo Dynamic Articular Surface Interaction. Journal of Biomechanics, 36, 1291-1299.
  4. Anderst W., Lee J., Donaldson W. and Kang J. (2013) (PMCID 23515984). Six Degree of Freedom Cervical Spine Range of Motion During Dynamic Flexion-Extension in Single-Level Anterior Arthrodesis Patients and Asymptomatic Control Subjects. J. Bone Joint Surg. Am., 95(6), 497-506.
  5. Gale T, Anderst W. Knee Kinematics of Healthy Adults Measured Using Biplane Radiography. J Biomech Eng. 2020 Oct 1;142(10).

Research Interests

  • The effects of injury, rehabilitation, surgical intervention, and age on in vivo joint kinematics
  • Automated medical image analysis: segmentation, disease identification
  • Functional data analysis

Research Grants

2 NIH R03, 2 NIH R01, DOD, Industry all as PI or Co-PI.