Posted By: NITRC ADMIN - Mar 19, 2015
Tool/Resource: Journals
 

Prospective motion correction of 3D echo-planar imaging data for functional MRI using optical tracking.

Neuroimage. 2015 Mar 14;

Authors: Todd N, Josephs O, Callaghan MF, Lutti A, Weiskopf N

Abstract
We evaluated the performance of an optical camera based prospective motion correction (PMC) system in improving the quality of 3D echo-planar imaging functional MRI data. An optical camera and external marker were used to dynamically track the head movement of subjects during fMRI scanning. PMC was performed by using the motion information to dynamically update the sequence's RF excitation and gradient waveforms such that the field-of-view was realigned to match the subject's head movement. Task-free fMRI experiments on five healthy volunteers followed a 2x2x3 factorial design with the following factors: PMC on or off; 3.0 mm or 1.5 mm isotropic resolution; no, slow, or fast head movements. Visual and motor fMRI experiments were additionally performed on one of the volunteers at 1.5 mm resolution comparing PMC on vs PMC off for no and slow head movements. Metrics were developed to quantify the amount of motion as it occurred relative to k-space data acquisition. The motion quantification metric collapsed the very rich camera tracking data into one scalar value for each image volume that was strongly predictive of motion-induced artifacts. The PMC system did not introduce extraneous artifacts for the no motion conditions and improved the time series temporal signal-to-noise by 30% to 40% for all combinations of low/high resolution and slow/fast head movement relative to the standard acquisition with no prospective correction. The numbers of activated voxels (p < 0.001, uncorrected) in both task-based experiments were comparable for the no motion cases and increased by 78% and 330%, respectively, for PMC on versus PMC off in the slow motion cases. The PMC system is a robust solution to decreasing the motion sensitivity of multi-shot 3D EPI sequences and thereby overcoming one of the main roadblocks to their widespread use in fMRI studies.

PMID: 25783205 [PubMed - as supplied by publisher]



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