Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models

Chenyang Xu; Dzung Pham; Jerry L. Prince

doi:10.1007/3-540-63046-5_33

Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models

Chenyang Xu, Dzung Pham, Jerry L. Prince

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

40 Scopus citations

Abstract

A method for finding the cortical surface of the brain from magnetic resonance images using a combination of fuzzy segmentation, isosurface extraction, and a deformable surface is presented. After MR images are acquired and preprocessed to remove extracranial tissue, fuzzy membership functions for gray matter, white matter, and cerebrospinal fluid are computed. An iterative procedure using isosurfaces of filtered white matter membership functions is then used to obtain a topologically correct estimate of the cortical surface. This estimate forms the initialization of a deformable surface, which is then allowed to converge to peaks of the gray matter membership function. We demonstrate the results of each step and show the final parameterized map of the medial layer of the cortex.

Original language	English (US)
Title of host publication	Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings
Editors	James Duncan, Gene Gindi
Publisher	Springer Verlag
Pages	399-404
Number of pages	6
ISBN (Print)	3540630465, 9783540630463
DOIs	https://doi.org/10.1007/3-540-63046-5_33
State	Published - 1997
Externally published	Yes
Event	15th International Conference on Information Processing in Medical Imaging, IPMI 1997 - Poultney, United States Duration: Jun 9 1997 → Jun 13 1997

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1230
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	15th International Conference on Information Processing in Medical Imaging, IPMI 1997
Country/Territory	United States
City	Poultney
Period	6/9/97 → 6/13/97

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-63046-5_33

Cite this

Xu, C., Pham, D., & Prince, J. L. (1997). Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models. In J. Duncan, & G. Gindi (Eds.), Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings (pp. 399-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1230). Springer Verlag. https://doi.org/10.1007/3-540-63046-5_33

Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models. / Xu, Chenyang; Pham, Dzung; Prince, Jerry L.
Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings. ed. / James Duncan; Gene Gindi. Springer Verlag, 1997. p. 399-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1230).

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

Xu, C, Pham, D & Prince, JL 1997, Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models. in J Duncan & G Gindi (eds), Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1230, Springer Verlag, pp. 399-404, 15th International Conference on Information Processing in Medical Imaging, IPMI 1997, Poultney, United States, 6/9/97. https://doi.org/10.1007/3-540-63046-5_33

Xu C, Pham D, Prince JL. Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models. In Duncan J, Gindi G, editors, Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings. Springer Verlag. 1997. p. 399-404. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-63046-5_33

Xu, Chenyang ; Pham, Dzung ; Prince, Jerry L. / Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models. Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings. editor / James Duncan ; Gene Gindi. Springer Verlag, 1997. pp. 399-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{79b621234e124077818bb0e33df630b0,

title = "Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models",

abstract = "A method for finding the cortical surface of the brain from magnetic resonance images using a combination of fuzzy segmentation, isosurface extraction, and a deformable surface is presented. After MR images are acquired and preprocessed to remove extracranial tissue, fuzzy membership functions for gray matter, white matter, and cerebrospinal fluid are computed. An iterative procedure using isosurfaces of filtered white matter membership functions is then used to obtain a topologically correct estimate of the cortical surface. This estimate forms the initialization of a deformable surface, which is then allowed to converge to peaks of the gray matter membership function. We demonstrate the results of each step and show the final parameterized map of the medial layer of the cortex.",

author = "Chenyang Xu and Dzung Pham and Prince, {Jerry L.}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1997.; 15th International Conference on Information Processing in Medical Imaging, IPMI 1997 ; Conference date: 09-06-1997 Through 13-06-1997",

year = "1997",

doi = "10.1007/3-540-63046-5_33",

language = "English (US)",

isbn = "3540630465",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "399--404",

editor = "James Duncan and Gene Gindi",

booktitle = "Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings",

}

TY - GEN

T1 - Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models

AU - Xu, Chenyang

AU - Pham, Dzung

AU - Prince, Jerry L.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1997.

PY - 1997

Y1 - 1997

N2 - A method for finding the cortical surface of the brain from magnetic resonance images using a combination of fuzzy segmentation, isosurface extraction, and a deformable surface is presented. After MR images are acquired and preprocessed to remove extracranial tissue, fuzzy membership functions for gray matter, white matter, and cerebrospinal fluid are computed. An iterative procedure using isosurfaces of filtered white matter membership functions is then used to obtain a topologically correct estimate of the cortical surface. This estimate forms the initialization of a deformable surface, which is then allowed to converge to peaks of the gray matter membership function. We demonstrate the results of each step and show the final parameterized map of the medial layer of the cortex.

AB - A method for finding the cortical surface of the brain from magnetic resonance images using a combination of fuzzy segmentation, isosurface extraction, and a deformable surface is presented. After MR images are acquired and preprocessed to remove extracranial tissue, fuzzy membership functions for gray matter, white matter, and cerebrospinal fluid are computed. An iterative procedure using isosurfaces of filtered white matter membership functions is then used to obtain a topologically correct estimate of the cortical surface. This estimate forms the initialization of a deformable surface, which is then allowed to converge to peaks of the gray matter membership function. We demonstrate the results of each step and show the final parameterized map of the medial layer of the cortex.

UR - http://www.scopus.com/inward/record.url?scp=84956861191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84956861191&partnerID=8YFLogxK

U2 - 10.1007/3-540-63046-5_33

DO - 10.1007/3-540-63046-5_33

M3 - Conference contribution

AN - SCOPUS:84956861191

SN - 3540630465

SN - 9783540630463

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 399

EP - 404

BT - Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings

A2 - Duncan, James

A2 - Gindi, Gene

PB - Springer Verlag

T2 - 15th International Conference on Information Processing in Medical Imaging, IPMI 1997

Y2 - 9 June 1997 through 13 June 1997

ER -

Finding the brain cortex using fuzzy segmentation, isosurfaces, and deformable surface models

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this