Two-stage human brain MRI segmentation scheme using fuzzy logic

Chih Wei Chang; Gilbert R. Hillman; Hao Ying; Thomas A. Kent; John Yen

Two-stage human brain MRI segmentation scheme using fuzzy logic

Chih Wei Chang, Gilbert R. Hillman, Hao Ying, Thomas A. Kent, John Yen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We have developed a two-stage image segmentation scheme using fuzzy logic. Based on the scheme, a two-stage fuzzy system has been built for segmenting human brain MR images. The first stage is a fuzzy rule-based system that assigns memberships to pixels, classifies the pixels that have only one high membership and calculates the initial conditions for the next stage. The second stage is the fuzzy c-means algorithm, which classifies the undetermined pixels. Preliminary segmentation of the human brain MR images shows the two-stage fuzzy system could accurately determine white matter, gray matter, cerebrospinal fluid and HIV + lesion. The results were visually confirmed by expert observers. The satisfactory results achieved in this paper suggest the feasibility of developing similar segmentation systems for other types of images and the possibility of extending the two-stage scheme to multiple-stage schemes.

Original language	English (US)
Title of host publication	International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium
Editors	Anon
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	649-654
Number of pages	6
Volume	2
State	Published - 1995
Event	Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn Duration: Mar 20 1995 → Mar 24 1995

Other

Other	Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
City	Yokohama, Jpn
Period	3/20/95 → 3/24/95

ASJC Scopus subject areas

Theoretical Computer Science
Software
Artificial Intelligence
Applied Mathematics

Cite this

Chang, C. W., Hillman, G. R., Ying, H., Kent, T. A., & Yen, J. (1995). Two-stage human brain MRI segmentation scheme using fuzzy logic. In Anon (Ed.), International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium (Vol. 2, pp. 649-654). Institute of Electrical and Electronics Engineers Inc..

Two-stage human brain MRI segmentation scheme using fuzzy logic. / Chang, Chih Wei; Hillman, Gilbert R.; Ying, Hao et al.
International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium. ed. / Anon. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 1995. p. 649-654.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chang, CW, Hillman, GR, Ying, H, Kent, TA & Yen, J 1995, Two-stage human brain MRI segmentation scheme using fuzzy logic. in Anon (ed.), International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium. vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 649-654, Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn, 3/20/95.

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AB - We have developed a two-stage image segmentation scheme using fuzzy logic. Based on the scheme, a two-stage fuzzy system has been built for segmenting human brain MR images. The first stage is a fuzzy rule-based system that assigns memberships to pixels, classifies the pixels that have only one high membership and calculates the initial conditions for the next stage. The second stage is the fuzzy c-means algorithm, which classifies the undetermined pixels. Preliminary segmentation of the human brain MR images shows the two-stage fuzzy system could accurately determine white matter, gray matter, cerebrospinal fluid and HIV + lesion. The results were visually confirmed by expert observers. The satisfactory results achieved in this paper suggest the feasibility of developing similar segmentation systems for other types of images and the possibility of extending the two-stage scheme to multiple-stage schemes.

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Two-stage human brain MRI segmentation scheme using fuzzy logic

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