Steve Bonwit

Johns Hopkins University

Papers

1

Total Citations

5

H-Index

1

About

Steve Bonwit is a researcher whose work sits at the intersection of biomedical ultrasound and musculoskeletal pain science. His primary focus is on advancing the quantification of shear strain in muscle tissue, particularly to better understand and diagnose myofascial pain. Bonwit’s key contribution lies in rigorously evaluating the reliability of displacement tracking methods—specifically, cross-correlation-based, windowed-search speckle tracking—used to measure shear strain from ultrasound data. His 2024 paper, "Displacement tracking reliability in muscle shear strain quantification," which has garnered 5 citations, critically assesses the technical fidelity of these measurements. This work is foundational because it challenges and refines the clinical conclusions drawn from earlier studies, which suggested that shear strain patterns are altered in patients with myofascial pain. By highlighting the potential and the pitfalls of ultrasound speckle tracking, Bonwit is helping to ensure that future clinical diagnostics are built on a robust, reproducible technical foundation. His research is a vital step toward translating advanced imaging metrics into reliable, actionable tools for assessing and treating chronic pain conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Displacement tracking reliability in muscle shear strain quantification
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago