TABLE OF CONTENTS Eric Grimson, MIT, Cambridge, MA
Michael Leventon, MIT, Cambridge, MA
Liana Lorigo, MIT, Cambridge, MA
Tina Kapur, Visualization Technology Incorporated, Wilmington, MA
Olivier Faugeras, MIT, Cambridge, MA
Ron Kikinis, Brigham and Women's Hospital, Boston, MA
Renaud Keriven, Cermics, Ecole Nationale des Ponts et Chauss es, Paris, France
Arya Nabavi, Brigham and Women's Hospital, Boston, MA
Carl-Fredrik Westin, Brigham and Women's Hospital, Boston, MA
Recent advances in image guided surgery are changing the manner in which surgeons are able to execute difficult procedures. By building detailed, patient-specific models of anatomy, and augmenting those models with other information, such as functional properties, the surgeon can better plan her procedure to optimally extract target tissue while avoiding nearby critical structures. By registering these models with the actual patient position in the operating theatre, and by tracking surgical instruments relative to the patient and the registered model, real-time feedback is provided about the position of the instrument and its relationship to nearby, hidden tissue.
A central aspect of IGS is creating accurate, detailed, patient-specific models from medical imagery. In this paper, we briefly outline an overall approach to image guided surgery, and present several examples of current methods for model building.
Recent developments in computer vision and robotics are changing the manner in which modern surgery is being practiced. Image guided surgical methods are providing a surgeon with the ability to visualize internal structures and their geometric relationships, often in alignment with live imagery or direct views of the patient. Such...
