Head Investigator Message

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The project on “Multidisciplinary Computational Anatomy and its Application to Highly Intelligent Diagnosis and Therapy (multidisciplinary computational anatomy in short)” is funded by MEXT Grant-in-Aid for Scientific Research on Innovative Areas in 2014. Multidisciplinary computational anatomy comprises scientific research on innovative areas based on medical images that have many axes: (1) the spatial axis, from a cell size to an organ size level, (2) the time series axis, from an embryo to post mortem body, (3) the functional axis, such as medical image modality, physiology or metabolism, and (4) the pathological axis, from a healthy physical condition to a diseased condition. It is a new scientific area that establishes a mathematical analysis base for a comprehensive and useful understanding of the human body, and defines a new mathematical method for early detection and a high intelligent diagnostic treatment method for diseases with a difficult medical treatment. The potentiality of multidisciplinary computational anatomy varies from mathematical principles, information sciences, and engineering to clinical applications. Emphasis is set to a theory establishment and base construction of the mathematical study foundation, and to expand the range of the new system. The outcome leads to solutions of many diagnostic and treatment problems and the applied system. Overall this topic is a scientific domain connected to the universal problems of people’s health. We are also planning to work with young investigators and to provide training across discipline boundaries.

Prof. Makoto Hashizume Head Investigator of Multidisciplinary Computational Anatomy Project

Kyusyu University