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Variational Method for Computing Average Images of Biological Organs

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Book cover Scale Space and Variational Methods in Computer Vision (SSVM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7893))

Abstract

In this paper, we develop a variational method for the computation of average images of biological organs in three-dimensional Euclidean space. The average of three-dimensional biological organs is an essential feature to discriminate abnormal organs from normal organs. We combine the diffusion registration technique and optical flow computation for the computation of spatial deformation field between the averages and each input organ. We define the average as the shape which minimises the total deformation.

This research was supported by “Computational anatomy for computer-aided diagnosis and therapy: Frontiers of medical image sciences” funded by the Grant-in-Aid for Scientific Research on Innovative Areas, MEXT, Japan, the Grants-in-Aid for Scientific Research funded by Japan Society of the Promotion of Sciences and the Grant-in-Aid for Young Scientists (A), JSPS, Japan.

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Author information

Authors and Affiliations

  1. Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan

    Shun Inagaki

  2. Institute of Media and Information Technology, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan

    Atsushi Imiya

  3. Department of Computer Science, Nagoya Institute of Technology, Gokiso, Showa-ku, Nagoya, Aichi, 466-8555, Japan

    Hidekata Hontani

  4. Department of Radiology, The University of Tokyo Hospital, Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan

    Shouhei Hanaoka & Yoshitaka Masutani

Authors
  1. Shun Inagaki
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  2. Atsushi Imiya
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  3. Hidekata Hontani
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  4. Shouhei Hanaoka
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  5. Yoshitaka Masutani
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Editor information

Editors and Affiliations

  1. Fraunhofer Gesellschaft, Institut für Graphische Datenverarbeitung, Fraunhoferstraße 5, 64283, Darmstadt, Germany

    Arjan Kuijper

  2. Institute for Mathematics and Scientific Computing, University of Graz, Heinrichstrasse 36, 8010, Graz, Austria

    Kristian Bredies

  3. Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, 8010, Graz, Austria

    Thomas Pock  & Horst Bischof  & 

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Inagaki, S., Imiya, A., Hontani, H., Hanaoka, S., Masutani, Y. (2013). Variational Method for Computing Average Images of Biological Organs. In: Kuijper, A., Bredies, K., Pock, T., Bischof, H. (eds) Scale Space and Variational Methods in Computer Vision. SSVM 2013. Lecture Notes in Computer Science, vol 7893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38267-3_37

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  • DOI: https://doi.org/10.1007/978-3-642-38267-3_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38266-6

  • Online ISBN: 978-3-642-38267-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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