Data Acquisition, Analysis, and Visualization for 3D Computer Vision Surgical Robotics
Research Team Lead
Richard Wildes
Richard Wildes
York University
data-acquisition-analysis
Abstract:
This project is concerned with advancing computer vision and visualization technology for image guided robotic surgery. The specific problem addressed is rigorous performance characterization of video camera-based computer vision algorithms for estimation of 3D geometry and motion of subjects during medical surgery, including high resolution reconstruction and tracking of the surgical area. Current lack of such characterization is a major hurdle in development of surgical robots capable of performing tasks autonomously. Whereas, incorporation of such technology will enhance the performance of human surgeons and their robot assistants by making 3D information about the state of an operation available in real-time.
Amber Simpson
Collaborating Scientist - Memorial Sloan-Kettering Cancer Center (MSKCC), New York, USA
Piotr Jasiobedzki
Collaborating Scientist - MDA Corporation, Brampton, Canada
Sharifa Himidan
Collaborating Surgeon/Physician - Hospital for Sick Children, Toronto, Canada