Seminar 2007 05 09 Modeling of Coherent Structure

From CISSTwiki

CISST ERC Seminar
Extraction and Modeling of Coherent Structure in Surgical Motion

Date: Wednesday, May 9, 2007
Time: 12:00pm
Place: Maryland 110 (Lunch will be served)

Speaker: Henry Lin
Title: Extraction and Modeling of Coherent Structure in Surgical Motion
Presentation: PDF, not yet uploaded

Abstract

This talk is an overview on our research in modeling coherent structure in surgical motion. I report our progress in developing techniques for parsing raw motion data from a simple surgical task into a labeled sequence of surgical gestures. The ability to automatically detect and segment surgical motion can be useful in evaluating surgical skill, providing surgical training feedback, or documenting essential aspects of a procedure. If processed online, the information can be used to provide context- specific information or motion enhancements tothe surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. Robotic surgical systems such as the da Vinci system from Intuitive Surgical provide a rich source of motion and video data from surgical procedures. The application programming interface (API) of the da Vinci outputs 192 kinematics values at 10 Hz. Through a series of feature-processing steps, tailored to this task, the highly redundant features are projected to a compact and discriminative space. The resulting classifier is simple and effective. Cross-validation experiments show that the proposed approach can achieve accuracies higher than 90% when segmenting gestures in a 4-throw suturing task, for both expert and intermediate surgeons. These preliminary results suggest that gesture-specific features can be extracted to provide highly accurate surgical skill evaluation.

Bio

Henry C. Lin is a Ph.D. candidate in the Computer Science Department at Johns Hopkins University. He is advised by Dr. Gregory D. Hager. He is part of the Computational Interaction and Robotics Lab (CIRL) and the NSF ERC-CISST. His research is currently funded by the Link Fellowship for Advanced Simulation and Training. Lin received his B.S. in computer science from Carnegie Mellon University and his M.S. in computer science from Columbia University in 2003. He also worked for Bell Laboratories of Lucent Technologies for several years. His research interests include computer-integrated surgery, medical robotics and computer vision. He is a student member of IEEE.