Non-rigid motion estimation and spatiooral realignment in FMRI

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

Research output: Contribution to journalConference article

Abstract

Existing approaches to the problem of subject motion artefacts in FMRI data have applied rigid-body registration techniques to what is a non-rigid problem. We propose a model which can account for the non-linear characteristics of movement effects, known to result from the acquisition methods used to form these images. The model also facilitates the proper application of temporal corrections which are needed to compensate for acquisition delays. Results of an implementation based on this model reveal that it is possible to correct for these effects, leading to accurate re-alignment and timing correction.

LanguageEnglish
Article number1384793
JournalIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2004-January
Issue numberJanuary
DOIs
Publication statusPublished - 1 Jan 2004
Event2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States
Duration: 27 Jun 20042 Jul 2004

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

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title = "Non-rigid motion estimation and spatiooral realignment in FMRI",
abstract = "Existing approaches to the problem of subject motion artefacts in FMRI data have applied rigid-body registration techniques to what is a non-rigid problem. We propose a model which can account for the non-linear characteristics of movement effects, known to result from the acquisition methods used to form these images. The model also facilitates the proper application of temporal corrections which are needed to compensate for acquisition delays. Results of an implementation based on this model reveal that it is possible to correct for these effects, leading to accurate re-alignment and timing correction.",
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Non-rigid motion estimation and spatiooral realignment in FMRI. / Bannister, Peter R.; Brady, J. Michael; Jenkinson, Mark.

In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Vol. 2004-January, No. January, 1384793, 01.01.2004.

Research output: Contribution to journalConference article

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AB - Existing approaches to the problem of subject motion artefacts in FMRI data have applied rigid-body registration techniques to what is a non-rigid problem. We propose a model which can account for the non-linear characteristics of movement effects, known to result from the acquisition methods used to form these images. The model also facilitates the proper application of temporal corrections which are needed to compensate for acquisition delays. Results of an implementation based on this model reveal that it is possible to correct for these effects, leading to accurate re-alignment and timing correction.

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