T De Silva
Papers
1
Total Citations
41
H-Index
1
About
T De Silva is a leading researcher in computer-assisted orthopaedic surgery, with a primary focus on automated planning for spinal interventions. Their most cited work, "Automatic pedicle screw planning using atlas-based registration of anatomy and reference trajectories" (2019, 41 citations), introduces a novel algorithm that leverages a statistical atlas of the lumbar spine—built from 40 subjects—to automatically register target vertebrae and plan pedicle screw trajectories from unsegmented CT scans. This contribution addresses a critical bottleneck in surgical robotics and navigation, enabling more consistent and efficient screw placement. By combining active shape models with atlas-based registration, De Silva’s method reduces manual planning time and enhances accuracy, with validation in simulation and early clinical studies. Their work has been instrumental in advancing autonomous surgical planning, directly impacting the safety and reproducibility of spinal fusion procedures. With growing citation impact, De Silva continues to shape the intersection of medical imaging, biomechanics, and robotics, offering practical solutions that bridge engineering innovation and clinical need.
Research Focus
Key Achievements
Top Papers
- 1