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Fully Automatic Boundary Extraction of Coronary Plaque in IVUS Image by Anisotropic Diffusion and T-S Type Fuzzy Inference

  • Conference paper
Soft Computing in Industrial Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 75))

Abstract

This paper describes a fully automatic plaque boundary extraction method for the intravascular ultrasound image by using anisotropic-diffusion-based preprocessing and Takagi-Sugeno (T-S) type fuzzy inference. In the pre-processing, areas for plaque boundary extraction are automatically searched and found by image processing and some heuristic rules. In the found areas, the objective boundaries are then extracted by T-S type fuzzy inference. The present method has reduced substantially the workload of medical doctors.

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Author information

Authors and Affiliations

  1. Fuzzy Logic Systems Institute, 680-41 Kawazu, Iizuka, Fukuoka, 820-0067, Japan

    Takanori Koga

  2. Graduate School of Science and Engineering, Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8512, Japan

    Shohei Ichiyama, Eiji Uchino & Noriaki Suetake

  3. School of Medicine, Nihon University, 30-1 Oyaguchi Kami-cho, Itabashi-ku, 173-8610, Japan

    Takafumi Hiro

  4. Graduate School of Medicine, Yamaguchi University, 2-14-1 Tokiwadai, Ube, 753-8505, Japan

    Masunori Matsuzaki

Authors
  1. Takanori Koga
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  2. Shohei Ichiyama
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  3. Eiji Uchino
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  4. Noriaki Suetake
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  5. Takafumi Hiro
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  6. Masunori Matsuzaki
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Editor information

Editors and Affiliations

  1. Helsinki University, Espoo, Finland

    Xiao-Zhi Gao

  2. University of Minho, Giumaraes, Portugal

    António Gaspar-Cunha

  3. Kyushu Inst. of Technology, Fukuoka, Japan

    Mario Köppen

  4. Loughborough University, Loughborough, UK

    Gerald Schaefer

  5. The Chinese University of Hong Kong, Hong Kong

    Jun Wang

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© 2010 Springer-Verlag Berlin Heidelberg

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Koga, T., Ichiyama, S., Uchino, E., Suetake, N., Hiro, T., Matsuzaki, M. (2010). Fully Automatic Boundary Extraction of Coronary Plaque in IVUS Image by Anisotropic Diffusion and T-S Type Fuzzy Inference. In: Gao, XZ., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11282-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-11282-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11281-2

  • Online ISBN: 978-3-642-11282-9

  • eBook Packages: EngineeringEngineering (R0)

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