Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
AFNI: software for analysis and visualization of functional magnetic resonance neuroimages
Computers and Biomedical Research
International Journal of Innovative Computing and Applications
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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 these effects, leading to accurate realignment and timing correction.