Estimability of spatio-temporal activation in fMRI

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

1 Scopus citations

Abstract

Event-related functional magnetic resonance imaging (fMRI) is considered as an estimation and reconstruction problem. A linear model of the fMRI system based on the Fourier sampler (k-space) approximation is introduced and used to examine what parameters of the activation are estimable, i.e. can be accurately reconstructed in the noisefree limit. Several possible spatio-temporal representations of the activation are decomposed into null and measurement components. A causal representation of the activation using generalized Laguerre polynomials is introduced.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings
EditorsRichard M. Leahy, Michael F. Insana
PublisherSpringer-Verlag
Pages259-271
Number of pages13
ISBN (Electronic)3540422455, 9783540422457
StatePublished - Jan 1 2001
Event17th International Conference on Information Processing in Medical Imaging, IPMI 2001 - Davis, United States
Duration: Jun 18 2001Jun 22 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2082
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Information Processing in Medical Imaging, IPMI 2001
CountryUnited States
CityDavis
Period6/18/016/22/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lehovich, A., Barrett, H. H., Clarkson, E. W., & Gmitro, A. F. (2001). Estimability of spatio-temporal activation in fMRI. In R. M. Leahy, & M. F. Insana (Eds.), Information Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings (pp. 259-271). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2082). Springer-Verlag.