Model Construction for Computational Anatomy

DOI 2 Citations
  • FUJITA Hiroshi
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • HARA Takeshi
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • ZHOU Xiangrong
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • HAYASHI Tatsuro
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • KAMIYA Naoki
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • ZHANG Xuejung
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • CHEN Huayue
    岐阜大学大学院医学系研究科解剖学分野
  • HOSHI Hiroaki
    岐阜大学大学院医学系研究科放射線医学分野

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  • 計算解剖モデルの構築

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Abstract

This paper presents a summary of the purpose and recent progress of our research work, which is a part of the research project "Computational anatomy for computer-aided diagnosis and therapy: Frontiers of medical image sciences" funded by a Grant-in-Aid for Scientific Research on Innovative Areas, which is awarded by the MEXT, Japan. Our research in this project is mainly aimed at model constructions and their applications to the recognition and analysis of anatomical structures using CT images and functional images (PET). Our work focuses on modeling the universal organ localization approach, developing a shape model for abdominal muscle segmentation in CT images, proposing a localization scheme for vertebrae on CT images, and analyzing normal distributions of the standardized uptake values (SUV) of 2-deoxy-2-fluoro-d-glucose (FDG) in different organs. The preliminary experimental results, based on a large image database, have demonstrated the potential of the constructed models.

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