An adaptive fuzzy segmentation algorithm for three-dimensional magnetic resonance images

Dzung L. Pham, Jerry L. Prince

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

Abstract

An algorithm is proposed for the fuzzy segmentation of two and three-dimensional multispectral magnetic resonance (MR) images that have been corrupted by intensity inhomogeneities, also known as shading artifacts. The algorithm is an extension of the two-dimensional adaptive fuzzy C-means algorithm (2-D AFCM) presented in previous work by the authors. This algorithm models the intensity inhomogeneities as a gain field that causes image intensities to smoothly and slowly vary through the image space. It iteratively adapts to the intensity inhomo-geneities and is completely automated. In this paper, we fully generalize 2-D AFCM to three-dimensional (3-D) multispectral images. Because of the potential size of 3-D image data, we also describe a new, faster multigrid-based algorithm for its implementation. We show using simulated MR data that 3-D AFCM yields significantly lower error rates than both the standard fuzzy C—means algorithm and several other competing methods when segmenting corrupted images. Its efficacy is further demonstrated using real 3-D scalar and multispectral MR brain images.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
EditorsAndrew Todd-Pokropek, Attila Kuba, Martin Samal
PublisherSpringer Verlag
Pages140-153
Number of pages14
ISBN (Print)3540661670, 9783540661672
StatePublished - Jan 1 1999
Event16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary
Duration: Jun 28 1999Jul 2 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1613
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International conference on Information Processing in Medical Imaging, IPMI 1999
CountryHungary
CityVisegrad
Period6/28/997/2/99

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'An adaptive fuzzy segmentation algorithm for three-dimensional magnetic resonance images'. Together they form a unique fingerprint.

  • Cite this

    Pham, D. L., & Prince, J. L. (1999). An adaptive fuzzy segmentation algorithm for three-dimensional magnetic resonance images. In A. Todd-Pokropek, A. Kuba, & M. Samal (Eds.), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings (pp. 140-153). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613). Springer Verlag.