TIGER - A new model for spatio-temporal realignment of FMRI data

Peter R. Bannister, J. Michael Brady, Mark Jenkinson

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

We describe a new model which is able to model accurately the characteristics of subject motion, a dominant artefact in Functional Magnetic Resonance Images. Using the model, which is based on specific knowledge regarding the nature of the image acquisition, it is possible to correct for this motion which would otherwise render activation detection on the images invalid. We also present an initial implementation based on the model and are able to demonstrate that the corrections available under this new scheme are significantly more accurate than existing approaches to the problem of subject motion, enabling a far more accurate analysis of the patterns of brain activation which these images seek to capture.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMilan Sonka, Ioannis A. Kakadiaris, Jan Kybic
PublisherSpringer Verlag
Pages292-303
Number of pages12
ISBN (Print)3540226753, 9783540226758
DOIs
Publication statusPublished - 1 Jan 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3117
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • FMRI
  • Motion correction
  • Registration
  • Slice-timing correction
  • Spatio-temporal re-alignment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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