Multi-stage FCM-based intensity inhomogeneity correction for MR brain image segmentation

László Szilágyi, Sándor M. Szilágyi, László Dávid, Zoltán Benyó

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for MR image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedded into clustering algorithms, and they generally have difficulties when INU reaches high amplitudes. This paper proposes a multiple stage fuzzy c-means (FCM) based algorithm for the estimation and compensation of INU, by modeling it as a slowly varying additive or multiplicative noise, supported by a pre-filtering technique for Gaussian and impulse noise elimination. The slowly varying behavior of the bias or gain field is assured by a smoothing filter that performs a context dependent averaging, based on a morphological criterion. The experiments using 2-D synthetic phantoms and real MR images show, that the proposed method provides accurate segmentation. The resulting segmentation and fuzzy membership values can serve as excellent support for 3-D registration and segmentation techniques.

Original languageEnglish
Title of host publicationArtificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings
Pages527-536
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - Sep 22 2008
Event18th International Conference on Artificial Neural Networks, ICANN 2008 - Prague, Czech Republic
Duration: Sep 3 2008Sep 6 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5164 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Artificial Neural Networks, ICANN 2008
CountryCzech Republic
CityPrague
Period9/3/089/6/08

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Keywords

  • Context dependent filter
  • Fuzzy c-means algorithm
  • Image segmentation
  • Intensity inhomogeneity
  • Magnetic resonance imaging
  • Morphological operations

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Szilágyi, L., Szilágyi, S. M., Dávid, L., & Benyó, Z. (2008). Multi-stage FCM-based intensity inhomogeneity correction for MR brain image segmentation. In Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings (PART 2 ed., pp. 527-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5164 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-87559-8_55