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Applied Technologies and Systems

Kensaku Mori, Noboru Niki, Yoshiki Kawata, Hiroshi Fujita, Masahiro Oda, Hyoungseop Kim, Hidetaka Arimura, Akinobu Shimizu, Sakon Noriki, Kunihiro Inai, and Hirohiko Kimura

K. Mori (H)

Information and Communications, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Japan

e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it N. Niki • Y. Kawata

Graduate School of Science and Technology, Tokushima University, 2-1 Minamijyousanjima-cho, 770-8506, Tokushima, Japan e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it ; This email address is being protected from spam bots, you need Javascript enabled to view it

H. Fujita

Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, 501-1194, Gifu, Japan e-mail: fujita@ fjt.info.gifu-u.ac.jp

M. Oda

Department of Media Science, Graduate School of Information Science, Nagoya University, Furo-cho,Chikusa-ku, 464-8601, Nagoya, Japan e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it

H. Kim

Department of Mechanical and Control Engineering, Graduate School of Engineering, Kyushu Institute of Technology, 1-1 Sensui-cho, 804-0015, Kitakyushu, Tobata-ku, Japan e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it

H. Arimura

Faculty of Medical Sciences, Division of Medical Quantum Science, Department of Health Sciences, Kyushu University, 3-1-1, Maidashi, 812-8582, Fukuoka, Higashi-ku, Japan e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it

A. Shimizu

Institute of Engineering, Tokyo University of Agriculture and Technology, 184-8588, Tokyo, Japan

e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it S. Noriki

Division of Tumor Pathology, Department of Pathological Sciences, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Fukui, Japan e-mail: This email address is being protected from spam bots, you need Javascript enabled to view it

K. Inai

Division of Molecular Pathology, Department of Pathological Sciences, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui 910-1193, Fukui,

Japan

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© Springer Japan KK 2017 285

H. Kobatake, Y. Masutani (eds.), Computational Anatomy Based on Whole Body Imaging, DOI 10.1007/978-4-431-55976-4_4

Abstract This chapter shows applied technologies using computational anatomy (CA) models. CA systems based on clinical images assist physicians by providing useful information related to diagnostic and therapeutic procedures. Such systems include computer-aided diagnosis and computer-assisted surgery systems. A thorough understanding of anatomy is essential when designing these systems. It is important to understand how anatomical information extracted by a computer is used. In this chapter, we introduce applications of CA in three categories: (a) computer-aided diagnosis, (b) computer-assisted therapy and intervention, and (c) computer-assisted autopsy imaging. The technical details of these applications are discussed.

Keywords Computer-aided diagnosis • Computer-assisted surgery medical image processing applications

 
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