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
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Segmentation and mapping of highly convoluted contours with applications to medical images'. Together they form a unique fingerprint.

  • Cite this

    Davatzikos, C. A., & Prince, J. L. (1992). Segmentation and mapping of highly convoluted contours with applications to medical images. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (pp. 569-572). [226149] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226149