Literature DB >> 16104023

Retrospective motion compensation using variable-density spiral trajectories.

General Leung1, Donald B Plewes.   

Abstract

PURPOSE: To develop a method of retrospectively correcting for motion artifacts using a variable-density spiral (VDS) trajectory.
MATERIALS AND METHODS: Each VDS interleaf was designed to adequately sample the same center region of k-space. This central overlapping region can then be used to measure rigid body motion between the acquisition of each VDS interleaf. By applying appropriate phase shifts and rotations of the k-space data, rigid body motion artifacts can be removed, resulting in images with less motion corruption.
RESULTS: Both phantom and volunteer experiments are shown, demonstrating the technique's ability to further reduce artifacts in images acquired with an already motion-resistant acquisition trajectory. Registration accuracy is highly dependent on the trajectory design parameters. This space was explored to find an optimal design of VDS trajectories for motion compensation.
CONCLUSION: Using appropriately designed VDS trajectories, residual motion artifacts can be significantly reduced by retrospectively correcting for in-plane rigid body motion. An overlapping region of approximately 8% of the central region of k-space and approximately 70 interleaves were found to be near-optimal parameters for retrospective correction using VDS trajectories.

Mesh:

Year:  2005        PMID: 16104023     DOI: 10.1002/jmri.20388

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  An embedded optical tracking system for motion-corrected magnetic resonance imaging at 7T.

Authors:  Jessica Schulz; Thomas Siegert; Enrico Reimer; Christian Labadie; Julian Maclaren; Michael Herbst; Maxim Zaitsev; Robert Turner
Journal:  MAGMA       Date:  2012-06-13       Impact factor: 2.310

Review 2.  Motion artifacts in MRI: A complex problem with many partial solutions.

Authors:  Maxim Zaitsev; Julian Maclaren; Michael Herbst
Journal:  J Magn Reson Imaging       Date:  2015-01-28       Impact factor: 4.813

3.  SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction.

Authors:  Erik B Beall; Mark J Lowe
Journal:  Neuroimage       Date:  2014-06-24       Impact factor: 6.556

  3 in total

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