Modified magnetic resonance image based parcellation method for cerebral cortex using successive fuzzy clustering and boundary detection

Uicheul Yoon, Jong Min Lee, Jae-Jin Kim, Sang Min Lee, In Young Kim, Jun Soo Kwon, Sun I. Kim

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

A modified parcellation method of the cerebral cortex based on T1-weighted MRI is proposed. Although the method is considerably dependent on the performance of classification algorithm, it provides reliable and reproducible ROI, using successive fuzzy clustering to improve the efficiency of classification and boundary-detection algorithm to establish easily ROI on a tissue-classified image. In general, the method is fairly independent of the anatomical variability.

Original languageEnglish
Pages (from-to)441-447
Number of pages7
JournalAnnals of Biomedical Engineering
Volume31
Issue number4
DOIs
Publication statusPublished - 2003 Jan 1

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Fuzzy clustering
Magnetic resonance
Magnetic resonance imaging
Tissue

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Yoon, Uicheul ; Lee, Jong Min ; Kim, Jae-Jin ; Lee, Sang Min ; Kim, In Young ; Kwon, Jun Soo ; Kim, Sun I. / Modified magnetic resonance image based parcellation method for cerebral cortex using successive fuzzy clustering and boundary detection. In: Annals of Biomedical Engineering. 2003 ; Vol. 31, No. 4. pp. 441-447.
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Modified magnetic resonance image based parcellation method for cerebral cortex using successive fuzzy clustering and boundary detection. / Yoon, Uicheul; Lee, Jong Min; Kim, Jae-Jin; Lee, Sang Min; Kim, In Young; Kwon, Jun Soo; Kim, Sun I.

In: Annals of Biomedical Engineering, Vol. 31, No. 4, 01.01.2003, p. 441-447.

Research output: Contribution to journalArticle

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