• DocumentCode
    2717742
  • Title

    MR brain image segmentation using an enhanced fuzzy C-means algorithm

  • Author

    Szilagyi, L. ; Benyó, Z. ; Szilagyi, Sandor M. ; Adam, H.S.

  • Author_Institution
    Dept. of Control Eng. & Inf. Technol., Budapest Tech. Univ., Hungary
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    724
  • Abstract
    This paper presents a new algorithm for fuzzy segmentation of MR brain images. Starting from the standard FCM and its bias-corrected version BCFCM algorithm, by splitting up the two major steps of the latter, and by introducing a new factor, the amount of required calculations is considerably reduced. The algorithm provides good-quality segmented brain images a very quick way, which makes it an excellent tool to support virtual brain endoscopy.
  • Keywords
    biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; BCFCM algorithm; FCM algorithm; MR brain image segmentation; bias-corrected version FCM; enhanced fuzzy C-means algorithm; Biomedical equipment; Brain; Clustering algorithms; Filtering; Image segmentation; Labeling; Lagrangian functions; Magnetic resonance imaging; Medical services; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279866
  • Filename
    1279866
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2717742