Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images

Existing approaches to the problem of subject motion artefacts in FMRl 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 these effects, leading to accurate realignment and timing correction. (c) 2006 Elsevier B.V. All rights reserved.