Novel paradigms for computational analysis for structure and function in medical images

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Over the past two decades, medical imaging has become one of the main pillars of modern healthcare. The increasingly rich spectrum of available structural and functional imaging technologies provides exquisite medical data that offer tremendous opportunities for non-invasive visualization and quantitative analysis of anatomy and physiology. Applications, some of which are clinical realities, vary from basic computer-assisted diagnostics to elaborate image-guided interventions. Exploiting the enormous amounts of information embedded in such medical image data is, however, a very complicated task. In fact, the lack of efficient, accurate, and robust computational analysis techniques poses huge challenges that seriously hinder optimal extraction and use of image information in practice.