Partition cortical surfaces into supervertices: Method and application

Gang Li, Jingxin Nie, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Many problems in computer vision and biomedical image analysis benefit from representing an image as a set of superpixels or supervoxels. Inspired by this, we propose to partition a cortical surface into a collection of small patches, namely supervertices, with quasi-uniform size and coverage, compactness, and also smooth boundaries that align sulcal fundi or gyral crest curves on cortical surfaces. The ultimate goal of supervertices partition of the cortical surfaces is to use supervertices as primitives for cortical surface analysis, such as the extraction of sulcal fundi or gyral crest curves by linking boundaries of supervertices, and also the parcellation of cortical surfaces by labeling supervertices instead of vertices. We formulate the supervertices partition as an energy minimization problem and optimize it with graph cuts. Specifically, our energy function encourages the supervertices with compact shapes and smooth boundaries at flat cortical regions and also the supervertices with boundaries aligned with the sulcal fundi or gyral crest curves at highly bended cortical regions. The method has been successfully applied to cortical surfaces of brain MR images in NAMIC and MSC datasets. Both qualitative and quantitative evaluation results demonstrate its validity. We also show an application, i.e., extraction of gyral crest curves on cortical surfaces by linking boundaries of supervertices.

Original languageEnglish
Title of host publicationMesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings
Pages112-121
Number of pages10
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012 - Nice, France
Duration: 2012 Oct 12012 Oct 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7599 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherMICCAI 2012 International Workshop on Mesh Processing in Medical Image Analysis, MeshMed 2012
CountryFrance
CityNice
Period12/10/112/10/1

Keywords

  • Superpixels
  • cortical surface partition
  • graph cuts
  • gyral crest curves
  • sulcal fundi
  • supervertices

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Li, G., Nie, J., & Shen, D. (2012). Partition cortical surfaces into supervertices: Method and application. In Mesh Processing in Medical Image Analysis - MICCAI 2012 International Workshop, MeshMed 2012, Proceedings (pp. 112-121). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7599 LNCS). https://doi.org/10.1007/978-3-642-33463-4_12