Consistent sulcal parcellation of longitudinal cortical surfaces

Gang Li, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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
Issue number1
Publication statusPublished - 2011 Jul 1

Bibliographical note

Funding Information:
The authors would like to thank Yaping Wang and Yang Li for helping pre-processing data. The authors also would like to thank the anonymous reviewers for providing constructive suggestions that improved this paper. This work was supported in part by NIH grants EB006733, EB008374 and MH088520.

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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