#12: Modeling Techniques for Medical Applications

Organizer
Dimitris Metaxas (Rutgers University)

Lecturers
Herve Delinguette (INRIA Sophia Antipolis France)
James S. Duncan (Yale University)
Celina Imielinska (Columbia University)
Ron Kikinis (Brigham and Women's Hospital)
Nadia Magnenat-Thalmann (University of Geneva)
Dimitris Metaxas (Rutgers University)
Victor M. Spitzer (University of Colorado School of Medicine at Fitzsimons)

Overview
This course on modeling techniques and their graphical output for medical applications covers the medical data acquisition process, organ modeling methods, rendering and visualization techniques, virtual surgery, registration methods, and a variety of clinical and educational applications.

Prerequisites
Basic knowledge of calculus, linear algebra, physics, and graphics. Casual or greater interest in the topic. No medical knowledge is required.

Topics
Data collection procedures and visualization methods for educational applications based on the Visible Human Project. Modeling and analysis of the heart. Minimally invasive breast biopsy procedures. Segmentation methods. Modeling electrical activity in the brain. Geometric models for radiotherapy treatment of the prostate. Visualization and registration methods for surgical applications. Real-time hepatic surgical simulators and haptic interfaces. Modeling skin and muscles, and the aging process.

Course #12 Notes (PDF, XXXMB)