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

Chenyang Xu, Dzung L. Pham, Jerry L. Prince

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

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 languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings
EditorsJames Duncan, Gene Gindi
PublisherSpringer Verlag
Pages399-404
Number of pages6
ISBN (Print)3540630465, 9783540630463
DOIs
StatePublished - 1997
Event15th International Conference on Information Processing in Medical Imaging, IPMI 1997 - Poultney, United States
Duration: Jun 9 1997Jun 13 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1230
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Information Processing in Medical Imaging, IPMI 1997
CountryUnited States
CityPoultney
Period6/9/976/13/97

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Xu, C., Pham, D. L., & 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