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Abstract:
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Emerging with advanced imaging techniques, Computational Functional Anatomy (CFA) is a new discipline in the medical imaging research to identify imaging markers associated with a specific disease and explore their relationships with clinical assessments as well as genetic and environmental factors. To achieve this, CFA mathematically models anatomical configurations and signals associated with anatomy and functions of a specific organ in anatomical coordinates using multi-modal images. In this talk I will give a brief overview of CFA and then focus on two topics: 1) anatomical shapes, including atlas generation, abnormality detection in diseases, and tracking longitudinal changes; 2) studying signals associated with anatomy and functions of the brain in anatomical coordinates. I will give examples particularly in studies of schizophrenia and dementia.
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