Abstract
In clinical practice, diagnosis and treatment are being carried out on the basis of a variety of medical images in addition to X-ray CT image. Therefore, it is necessary to develop a new model that integrates various medical images. We are planning to develop a novel model of “Multidisciplinary Computational Anatomy (MCA)” that combines time and space axes, functional axis, and pathology axis in collaboration with research group A01 and A02. In this paper, we introduce research outline of applications of MCA to surgery, diagnosis and biomedical engineering. In the application to surgery, surgical simulation and navigation system and prediction system of therapeutic effect based on MCA were introduced. In the application to diagnosis, robust algorithms for analyzing pathological lungs, computational fluid simulation for evaluating respiratory function after lobectomy, CAD diagnosis algorithm of estimation of elapsed times after death for autopsy images, three-dimensional scanned images of organs as new pathological images were described. In the application to biomedical engineering, basic technology which is required for combination surgical robots and MCA were introduced.
