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	IEEE
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Software
Artificial Intelligence
Applied Mathematics

Cite this

@inproceedings{26da992c617c48dca7d23198fbe6e4ab,

title = "Two-stage human brain MRI segmentation scheme using fuzzy logic",

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.",

author = "Chang, \{Chih Wei\} and Hillman, \{Gilbert R.\} and Hao Ying and Kent, \{Thomas A.\} and John Yen",

year = "1995",

language = "English (US)",

volume = "2",

pages = "649--654",

editor = "Anon",

booktitle = "International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium",

publisher = "IEEE",

note = "Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) ; Conference date: 20-03-1995 Through 24-03-1995",

}

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, IEEE, pp. 649-654, Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn, 3/20/95.

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 IEEE, 1995. p. 649-654.

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

TY - GEN

T1 - Two-stage human brain MRI segmentation scheme using fuzzy logic

AU - Chang, Chih Wei

AU - Hillman, Gilbert R.

AU - Ying, Hao

AU - Kent, Thomas A.

AU - Yen, John

PY - 1995

Y1 - 1995

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/0029233490

UR - https://www.scopus.com/pages/publications/0029233490#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:0029233490

VL - 2

SP - 649

EP - 654

BT - International Joint Conference on the 4th IEEE International Conference on Fuzzy Systems and the 2nd International Fuzzy Engineering Symposium

A2 - Anon, null

PB - IEEE

T2 - Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)

Y2 - 20 March 1995 through 24 March 1995

ER -

Two-stage human brain MRI segmentation scheme using fuzzy logic

Abstract

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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