Estimability of spatio-temporal activation in fMRI

Andre Lehovich, Harrison H. Barrett, Eric W. Clarkson, Arthur F. Gmitro

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

2 Scopus citations


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
EditorsMichael F. Insana, Richard M. Leahy
Number of pages13
ISBN (Electronic)3540422455, 9783540422457
StatePublished - 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)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other17th International Conference on Information Processing in Medical Imaging, IPMI 2001
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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