Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm

Xiao Han, Chenyang Xu, Ulisses Braga-Neto, Jerry Ladd Prince

Research output: Contribution to journalArticle


Reconstructing an accurate and topologically correct representation of the cortical surface of the brain is an important objective in various neuroscience applications. Most cortical surface reconstruction methods either ignore topology or correct it using manual editing or methods that lead to inaccurate reconstructions. Shattuck and Leahy recently reported a fully automatic method that yields a topologically correct representation with little distortion of the underlying segmentation. We provide an alternate approach that has several advantages over their approach, including the use of arbitrary digital connectivities, a flexible morphology-based multiscale approach, and the option of foreground-only or background-only correction. A detailed analysis of the method's performance on 15 magnetic resonance brain images is provided.

Original languageEnglish (US)
Pages (from-to)109-121
Number of pages13
JournalIEEE Transactions on Medical Imaging
Issue number2
Publication statusPublished - Feb 2002



  • Brain imaging
  • Cortical surface extraction
  • Digital topology
  • Graph analysis
  • Segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

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