Segmentation and mapping of highly convoluted contours with applications to medical images

Chris A. Davatzikos, Jerry L. Prince

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

Abstract

In this paper we present a method that simultaneously identifies the central layer of the human cortex and maps it onto the interval [0,1] of the real axis. Statistical and geometric information is incorporated into a global variational problem, whose solution is obtained iteratively. The method is evaluated on a set of magnetic resonance (MR) images, acquired with a protocol that optimizes the contrast between the cortical grey matter and the underlying white matter.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages569-572
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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