Visual Tracking in Conventional Minimally Invasive Surgery

The book takes a step-by-step approach to designing and developing various tools for surgeon computer interfaces using the conventional surgical set-up. Tracking of surgical tools is defined as the key component for developing such interfaces. Using a theoretical basis, the book presents practical implementation for developing visual tracking of surgical tools. It also shows how such tracking results can be further integrated as a part of image guided, surgical navigation. It offers designers of such tracking systems a number of methodologies which can be explored and synthesized for various stages of the surgical automation process.

Shahram Payandeh runs the Networked Robotics and Sensing Laboratory in the School of Engineering Science at Simon Fraser University. The general theme of his research is in the area of tracking, reconstruction and visualization in a network of ambient sensors and cloud robotics. His research interests include robotics, geometrical robotics, networked dynamical systems, sensor network, multi-view tracking, haptic devices and haptic rendering, multi-modal interaction in serious games, and surgical robotics.