@inproceedings{90fcf226778b4585b3234b643b868479,
title = "Estimability of spatio-temporal activation in fMRI",
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.",
author = "Andre Lehovich and Barrett, {Harrison H.} and Clarkson, {Eric W.} and Gmitro, {Arthur F.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 17th International Conference on Information Processing in Medical Imaging, IPMI 2001 ; Conference date: 18-06-2001 Through 22-06-2001",
year = "2001",
doi = "10.1007/3-540-45729-1_28",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "259--271",
editor = "Insana, {Michael F.} and Leahy, {Richard M.}",
booktitle = "Information Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings",
}