Using a deformable surface model to obtain a shape representation of the cortex

Chris Davatzikos, R. Nick Bryan

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

Abstract

The problem of obtaining a mathematical representation of the cortex of the human brain is examined. A parametrization of the outer cortex is first obtained using a deformable surface algorithm which, motivated by the structure of the cortex, is constructed to find the central layer of thick surfaces. Based on this parametrization, a hierarchical representation of the cortical structure is proposed through its depth map and its curvature maps at various scales. Various experiments on magnetic resonance data are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Computer Vision
PublisherIEEE
Pages212-217
Number of pages6
Publication statusPublished - 1995
EventInternational Symposium on Computer Vision, ISCV'95, Proceedings - Coral Gables, FL, USA
Duration: Nov 21 1995Nov 23 1995

Other

OtherInternational Symposium on Computer Vision, ISCV'95, Proceedings
CityCoral Gables, FL, USA
Period11/21/9511/23/95

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

Cite this

Davatzikos, C., & Bryan, R. N. (1995). Using a deformable surface model to obtain a shape representation of the cortex. In Proceedings of the IEEE International Conference on Computer Vision (pp. 212-217). IEEE.