Brain image segmentation for virtual endoscopy

L. Szilágyi, Z. Benyó, S. M. Szilágyi

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

This paper presents a new algorithm for fuzzy segmentation of MR brain images. Starting from the standard FCM [1], 12] and its bias-corrected version BCFCM [3] algorithm, by splitting up the two major steps of the latter, and by introducing a new factor γ, the amount of required calculations is considerably reduced. The algorithm provides good-quality segmented 2-D brain slices a very quick way, which makes it an excellent tool to support a virtual brain endoscope.

Original languageEnglish
Pages (from-to)1730-1732
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 III
Publication statusPublished - Jan 1 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Keywords

  • Fuzzy logic
  • Image segmentation
  • Medical imaging
  • Virtual endoscope

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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