PubMed · 12914843
Retrospective intra-scan motion correction.
Abstract
This paper analyzes the effects of intra-scan motion and demonstrates the possibility of correcting them directly in k-space with a new automatic retrospective method. The method is presented for series of 2D acquisitions with Cartesian sampling. Using a reference k-space acquisition (corrected for translations) within the series, intra-scan motion parameters are accurately estimated for each trajectory in k-space of each data set in the series resulting in pseudo-random sample positions. The images are reconstructed with a Bayesian estimator that can handle sparse arbitrary sampling in k-space and reduces intra-scan rotation artefacts to the noise level. The method has been assessed by means of a Monte Carlo study on axial brain images for different signal-to-noise ratios. The accuracy of motion estimates is better than 0.1 degrees for rotation, and 0.1 and 0.05 pixel, respectively, for translation along the read and phase directions for signal-to-noise ratios higher than 6 of the signals on each trajectory. An example of reconstruction from experimental data corrupted by head motion is also given.
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Marc E Bourgeois, Frank T A W Wajer, Muriel Roth, André Briguet, Michel Décorps, Dirk van Ormondt, Christoph Segebarth, Danielle Graveron-Demilly. 2003. Retrospective intra-scan motion correction.. https://doi.org/10.1016/s1090-7807(03)00154-x
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