Abstract
Multidisciplinary computational anatomy comprises scientific research on innovative areas based on medical images. Multidisciplinary computational anatomy includes several axes such as the spatial axis, from a cell size to an organ size level, the time series axis from an embryo to postmortem body, the functional axis including medical image modality, physiology or metabolism and the pathological axis from a healthy physical condition to a diseased condition. In this new scientific area, we 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 difficult medical treatment. This innovative area achieves mathematical foundation enabling us to deal with not only the static computational anatomy model for handling shape but also dynamic computational anatomy model (multidisciplinary computational anatomy) for handling living human built from useful multidisciplinary information about the human body.
