Blind retrospective motion correction of MR images
Article first published online: 11 FEB 2013
Copyright © 2013 Wiley Periodicals, Inc., a Wiley company
Magnetic Resonance in Medicine
Volume 70, Issue 6, pages 1608–1618, December 2013
How to Cite
Loktyushin, A., Nickisch, H., Pohmann, R. and Schölkopf, B. (2013), Blind retrospective motion correction of MR images. Magn Reson Med, 70: 1608–1618. doi: 10.1002/mrm.24615
- Issue published online: 18 NOV 2013
- Article first published online: 11 FEB 2013
- Manuscript Accepted: 2 DEC 2012
- Manuscript Revised: 30 NOV 2012
- Manuscript Received: 28 AUG 2012
- retrospective motion correction;
- gradient-based optimization
Subject motion can severely degrade MR images. A retrospective motion correction algorithm, Gradient-based motion correction, which significantly reduces ghosting and blurring artifacts due to subject motion was proposed. The technique uses the raw data of standard imaging sequences; no sequence modifications or additional equipment such as tracking devices are required. Rigid motion is assumed.
The approach iteratively searches for the motion trajectory yielding the sharpest image as measured by the entropy of spatial gradients. The vast space of motion parameters is efficiently explored by gradient-based optimization with a convergence guarantee.
The method has been evaluated on both synthetic and real data in two and three dimentions using standard imaging techniques. MR images are consistently improved over different kinds of motion trajectories. Using a graphics processing unit implementation, computation times are in the order of a few minutes for a full three-dimentional volume.
The presented technique can be an alternative or a complement to prospective motion correction methods and is able to improve images with strong motion artifacts from standard imaging sequences without requiring additional data. Magn Reson Med 70:1608–1618, 2013. © 2013 Wiley Periodicals, Inc.