Efficient feature extraction for fast segmentation of MR brain images

László Szilágyi, Sándor M. Szilágyi, Z. Benyó

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

7 Citations (Scopus)

Abstract

Automated brain MR image segmentation is a challenging problem and received significant attention lately. Various techniques have been proposed, several improvements have been made to the standard fuzzy c-means (FCM) algorithm, in order to reduce its sensitivity to Gaussian, impulse, and intensity non-uniformity noises. In this paper we present a modified FCM algorithm, which aims at accurate segmentation in case of mixed noises, and performs at a high processing speed. As a first step, a scalar feature value is extracted from the neighborhood of each pixel, using a filtering technique that deals with both spatial and gray level distances. These features are clustered afterwards using the histogram-based approach of the enhanced FCM algorithm. The experiments using 2-D synthetic phantoms and real MR images show, that the proposed method provides better results compared to other reported FCM-based techniques. The produced segmentation and fuzzy membership values can serve as excellent support for level set based cortical surface reconstruction techniques.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages611-620
Number of pages10
Volume4522 LNCS
Publication statusPublished - 2007
Event15th Scandinavian Conference on Image Analysis, SCIA 2007 - Aalborg, Denmark
Duration: Jun 10 2007Jun 14 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4522 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th Scandinavian Conference on Image Analysis, SCIA 2007
CountryDenmark
CityAalborg
Period6/10/076/14/07

Fingerprint

Fuzzy C-means Algorithm
Feature Extraction
Feature extraction
Brain
Segmentation
Noise
Surface reconstruction
Image segmentation
Fuzzy Membership
Surface Reconstruction
Fuzzy C-means
Non-uniformity
Phantom
Pixels
Level Set
Image Segmentation
Impulse
Histogram
Filtering
Pixel

Keywords

  • Feature extraction
  • Fuzzy c-means algorithm
  • Image segmentation
  • Magnetic resonance imaging
  • Noise elimination

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Szilágyi, L., Szilágyi, S. M., & Benyó, Z. (2007). Efficient feature extraction for fast segmentation of MR brain images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4522 LNCS, pp. 611-620). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4522 LNCS).

Efficient feature extraction for fast segmentation of MR brain images. / Szilágyi, László; Szilágyi, Sándor M.; Benyó, Z.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4522 LNCS 2007. p. 611-620 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4522 LNCS).

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

Szilágyi, L, Szilágyi, SM & Benyó, Z 2007, Efficient feature extraction for fast segmentation of MR brain images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4522 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4522 LNCS, pp. 611-620, 15th Scandinavian Conference on Image Analysis, SCIA 2007, Aalborg, Denmark, 6/10/07.
Szilágyi L, Szilágyi SM, Benyó Z. Efficient feature extraction for fast segmentation of MR brain images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4522 LNCS. 2007. p. 611-620. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Szilágyi, László ; Szilágyi, Sándor M. ; Benyó, Z. / Efficient feature extraction for fast segmentation of MR brain images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4522 LNCS 2007. pp. 611-620 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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