Computational Anatomy provides effective means to better understand anatomical variability, to support the diagnosis of disease, to simulate realistically intervention and so on. The depth and spectrum of technological topics in computational anatomy have expanded to encompass all aspects of intelligent segmentation and modeling of complex objects, understanding of 3D images, advanced pattern recognition, man-machine interface technologies, virtual reality technologies and so on. However, its target has been focused primarily on the brain. Technologies of computational anatomy for the areas of chest and abdomen are still at a lower level compared with that for the brain. To close this gap, a big research project on “Computational Anatomy for Computer-Aided Diagnosis and Therapy: Frontiers of Medical Image Sciences (computational anatomy in short)” has been organized in 2009. It is supported by the Grant-in-Aid for Scientific Research on Innovative Areas from the Ministry of Education, Culture, Sports, Science and Technology, Japan. This project aims to establish a new discipline which provides a mathematical framework to deal with human anatomy primarily focused on chest and abdominal areas based on medical images.
     The challenges consist of (1) development of theories for representation of anatomical models that cover inter-individual variability in shape and topology and its construction through statistical analysis of population data, (2) investigation of methodologies for precise and robust retrieval of anatomical information from medical images, virtually equivalent to real human body dissection, and (3) development of innovative technologies assisting medical diagnosis and interventions based on computational anatomy. The outcomes are expected to contribute to advanced medicine, basic biomedical research, medical education, and information science.

Head Investigator   Hidefumi Kobatake (Tokyo Univ. of Agri. & Tech.)

トップ   編集 差分 バックアップ 添付 複製 名前変更 リロード   新規 一覧 単語検索 最終更新   ヘルプ   最終更新のRSS
Last-modified: 2013-09-03 (Tue) 11:24:15 (1271d)