Non-rigid motion estimation and spatiooral realignment in FMRI

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

doi:10.1109/CVPR.2004.404

Non-rigid motion estimation and spatiooral realignment in FMRI

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

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	1384793
Journal	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2004-January
Issue number	January
DOIs	https://doi.org/10.1109/CVPR.2004.404
Publication status	Published or Issued - 2004
Externally published	Yes
Event	2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States Duration: 27 Jun 2004 → 2 Jul 2004

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1109/CVPR.2004.404

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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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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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M3 - Conference article

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ER -

Non-rigid motion estimation and spatiooral realignment in FMRI

Abstract

ASJC Scopus subject areas

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