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Model-Based Fuzzy System for Multimodal Image Segmentation

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Computational Intelligence (IJCCI 2013)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 613))

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Abstract

In this paper, a new model-based fuzzy system for multimodal 3-D image segmentation in MR series is introduced. The presented fuzzy system calculates affinity values for fuzzy connectedness segmentation procedure, which is the main stage of the processing. The fuzzy rules, generated for the system simulating a radiological analysis, are structured on the basis of Gaussian mixture model of analyzed image regions. For the model parameters estimation, different MR modalities, acquired during a single examination, are used. The segmentation abilities of a prototype system have been tested on two medical databases. The first one consists of 27 examinations with bone tumors, which are visualized with two different MR sequences. The second one is the database of brain tumors with ground truth description obtained from the MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation.

This work was funded by the German Research Foundation (DFG) as part of the research training group GRK 1564 Imaging New Modalities..

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Acknowledgments

The authors would like to thank the medical staff of the Helimed Diagnostic Imaging Centre, Katowice, for providing the images.

   This work was funded by the German Research Foundation (DFG) as part of the research training group GRK 1564 Imaging New Modalities.

Author information

Authors and Affiliations

  1. Media Systems Group, Institute for Vision and Graphics, University of Siegen, Hoelderlinstr. 3, Siegen, Germany

    Joanna Czajkowska

  2. Department of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, Gliwice, Poland

    Joanna Czajkowska

Authors
  1. Joanna Czajkowska
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Corresponding author

Correspondence to Joanna Czajkowska .

Editor information

Editors and Affiliations

  1. Images, Signals and Intelligence Systems Laboratory, University PARIS-EST Creteil (UPEC), Créteil, France

    Kurosh Madani

  2. Departamento de Engenharia Informatica Polo II - Pinhal de Marrocos, University of Coimbra, Coimbra, Portugal

    António Dourado

  3. aSEEB-ISR-IST Av. Rovisco Pais, 1, Technical University of Lisbon (IST), Lisbon, Portugal

    Agostinho Rosa

  4. Rua do Vale de Chaves, Estefanilha, Polytechnic Institute of Setúbal / INSTICC, Setúbal, Portugal

    Joaquim Filipe

  5. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Czajkowska, J. (2016). Model-Based Fuzzy System for Multimodal Image Segmentation. In: Madani, K., Dourado, A., Rosa, A., Filipe, J., Kacprzyk, J. (eds) Computational Intelligence. IJCCI 2013. Studies in Computational Intelligence, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-23392-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-23392-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23391-8

  • Online ISBN: 978-3-319-23392-5

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