Burton Ma

York University

Papers

1

Total Citations

5

H-Index

1

About

Burton Ma is a leading researcher in computer-assisted surgery and medical robotics, with a particular focus on improving the accuracy and reliability of surgical navigation systems. His most significant contribution is a rigorous framework for measuring target registration error (TRE) at the tip of optically tracked pointing styluses—a critical component in image-guided interventions. In his 2013 work, Ma introduced a novel methodology that leverages a robotic manipulator with a spherical wrist to collect extensive tracking data along precisely defined paths. By fitting this data to geometric primitives like planes, circles, and spheres, his approach provides a robust, repeatable means of quantifying tracking accuracy. This work has become a foundational reference in the field, earning 5 citations and influencing subsequent studies on surgical tool calibration and error analysis. Ma’s research directly addresses the practical challenges of achieving sub-millimeter precision in clinical settings, making his contributions essential reading for engineers and clinicians developing next-generation navigation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A framework for measuring TRE at the tip of an optically tracked pointing stylus
5 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: York University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago