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.
|Journal||IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops|
|Publication status||Published - 1 Jan 2004|
|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