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Computational Anatomy and Computational Physiology for Medical Image Analysis

  • Nicholas Ayache
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3765)

Abstract

Medical image analysis brings about a revolution to the medicine of the 21 st century, introducing 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 will 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 three applications: the modeling and analysis of 1) brain variability from a large database of cerebral images, 2) tumor growth in the brain and 3) heart function from a combined exploitation of cardiac images and electrophysiology.

I will conclude with a presentation of some promising trends, including the analysis of in vivo microscopic images.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Nicholas Ayache
    • 1
  1. 1.Research DirectorEpidaure/Asclepios Laboratory, INRIASophia-AntipolisFrance

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