Abstract
Medical image analysis brings about a revolution to the medicine of the 21st 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.
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References
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Ayache, N. (2005). Computational Anatomy and Computational Physiology for Medical Image Analysis. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_1
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DOI: https://doi.org/10.1007/11569541_1
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