Cortical surface segmentation and mapping

Duygu Tosun, Maryam E. Rettmann, Xiao Han, Xiaodong Tao, Chenyang Xu, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince

Research output: Contribution to journalArticlepeer-review

Abstract

Segmentation and mapping of the human cerebral cortex from magnetic resonance (MR) images plays an important role in neuroscience and medicine. This paper describes a comprehensive approach for cortical reconstruction, flattening, and sulcal segmentation. Robustness to imaging artifacts and anatomical consistency are key achievements in an overall approach that is nearly fully automatic and computationally fast. Results demonstrating the application of this approach to a study of cortical thickness changes in aging are presented.

Original languageEnglish (US)
Pages (from-to)S108-S118
JournalNeuroImage
Volume23
Issue numberSUPPL. 1
DOIs
StatePublished - Nov 8 2004

Keywords

  • Cerebral cortex
  • Cortical surface
  • Cortical thickness
  • Surface flattening

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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