Lionel Brunie

About

Lionel Brunie is a pioneering researcher in the field of computer and robot assisted surgery, with particular expertise in medical image processing and 3-D surface matching techniques. His most influential work, the 1991 paper "Matching 3-D Smooth Surfaces with their 2-D Projections using 3-D Distance Maps," has garnered 73 citations and introduced a groundbreaking method for aligning 3-D anatomical surfaces with 2-D X-ray projections — a critical challenge in surgical planning and execution. By employing a least squares minimization approach using 3-D distance maps, Brunie developed a robust solution for computing rigid body transformations, significantly advancing the precision of surgical guidance systems. His subsequent work on matching techniques for computer and robot assisted surgery further expanded this contribution, addressing the practical challenge of integrating multimodal preoperative imaging data directly into the surgical theater. Through geometrical matching of anatomical reference structures, Brunie helped bridge the gap between treatment planning and real-time surgical application. With a body of work spanning over a decade, his research has laid important methodological foundations for modern image-guided surgery, making him a notable figure in the intersection of medical imaging, computer vision, and surgical robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Matching 3-D smooth surfaces with their 2-D projections using 3-D distance maps

   73 citations · 1991
2. 2
   Matching Of Medical Images For Computed And Robot Assisted Surgery

   15 citations · 2005
3. 3
   Matching 3-D smooth surfaces with their 2-D projections using 3-D distance maps

   4 citations · 1993

Key Collaborators

Contact & Links