Computational Models of the Human Body for Medical Image Analysis
Nicholas Ayache (INRIA, France)
Abstract:
Medical image analysis brings about a collection of powerful new tools designed to better assist the clinical diagnosis and to model, simulate, and guide more efficiently the patient's therapy. A new discipline has emerged in computer science, closely related to others like computer vision, computer graphics, artificial intelligence and robotics.
In this talk, I describe the increasing role of computational models of anatomy and physiology to guide the interpretation of complex series of medical images, and illustrate my presentation with applications to cardiac and brain diseases. I conclude with some promising trends, including the analysis of in vivo confocal microscopic images.
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Invited Speaker
