Consistent sulcal parcellation of longitudinal cortical surfaces

Gang Li, Dinggang Shen

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Automated accurate and consistent sulcal parcellation of longitudinal cortical surfaces is of great importance in studying longitudinal morphological and functional changes of human brains, since longitudinal cortical changes are normally very subtle, especially in aging brains. However, applying the existing methods (which were typically developed for cortical sulcal parcellation of a single cortical surface) independently to longitudinal cortical surfaces might generate longitudinally-inconsistent results. To overcome this limitation, this paper presents a novel energy function based method for accurate and consistent sulcal parcellation of longitudinal cortical surfaces. Specifically, both spatial and temporal smoothness are imposed in the energy function to obtain consistent longitudinal sulcal parcellation results. The energy function is efficiently minimized by a graph cut method. The proposed method has been successfully applied to sulcal parcellation of both real and simulated longitudinal inner cortical surfaces of human brain MR images. Both qualitative and quantitative evaluation results demonstrate the validity of the proposed method.

Original languageEnglish
Pages (from-to)76-88
Number of pages13
JournalNeuroImage
Volume57
Issue number1
DOIs
Publication statusPublished - 2011 Jul 1
Externally publishedYes

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ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

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