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Motion corrected compressed sensing for free-breathing dynamic cardiac MRI.
Magn Reson Med 2013; 70(2):504-16MR

Abstract

Compressed sensing (CS) has been demonstrated to accelerate MRI acquisitions by reconstructing sparse images of good quality from highly undersampled data. Motion during MR scans can cause inconsistencies in k-space data, resulting in strong motion artifacts in the reconstructed images. For CS to be useful in these applications, motion correction techniques need to be combined with the undersampled reconstruction. Recently, joint motion correction and CS approaches have been proposed to partially correct for effects of motion. However, the main limitation of these approaches is that they can only correct for affine deformations. In this work, we propose a novel motion corrected CS framework for free-breathing dynamic cardiac MRI that incorporates a general motion correction formulation directly into the CS reconstruction. This framework can correct for arbitrary affine or nonrigid motion in the CS reconstructed cardiac images, while simultaneously benefiting from highly accelerated MR acquisition. The application of this approach is demonstrated both in simulations and in vivo data for 2D respiratory self-gated free-breathing cardiac CINE MRI, using a golden angle radial acquisition. Results show that this approach allows for the reconstruction of respiratory motion corrected cardiac CINE images with similar quality to breath-held acquisitions.

Authors+Show Affiliations

King's College London, Division of Imaging Sciences and Biomedical Engineering, British Heart Foundation (BHF) Centre of Excellence, Medical Engineering Centre of Research Excellence, London, UK. muhammad.usman@kcl.ac.ukNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22899104

Citation

Usman, Muhammad, et al. "Motion Corrected Compressed Sensing for Free-breathing Dynamic Cardiac MRI." Magnetic Resonance in Medicine, vol. 70, no. 2, 2013, pp. 504-16.
Usman M, Atkinson D, Odille F, et al. Motion corrected compressed sensing for free-breathing dynamic cardiac MRI. Magn Reson Med. 2013;70(2):504-16.
Usman, M., Atkinson, D., Odille, F., Kolbitsch, C., Vaillant, G., Schaeffter, T., ... Prieto, C. (2013). Motion corrected compressed sensing for free-breathing dynamic cardiac MRI. Magnetic Resonance in Medicine, 70(2), pp. 504-16. doi:10.1002/mrm.24463.
Usman M, et al. Motion Corrected Compressed Sensing for Free-breathing Dynamic Cardiac MRI. Magn Reson Med. 2013;70(2):504-16. PubMed PMID: 22899104.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Motion corrected compressed sensing for free-breathing dynamic cardiac MRI. AU - Usman,Muhammad, AU - Atkinson,David, AU - Odille,Freddy, AU - Kolbitsch,Christoph, AU - Vaillant,Ghislain, AU - Schaeffter,Tobias, AU - Batchelor,Philip G, AU - Prieto,Claudia, Y1 - 2012/08/16/ PY - 2012/06/11/received PY - 2012/07/10/revised PY - 2012/07/24/accepted PY - 2012/8/18/entrez PY - 2012/8/18/pubmed PY - 2014/2/26/medline KW - compressed sensing KW - dynamic cardiac MRI KW - motion correction KW - nonrigid motion KW - undersampling SP - 504 EP - 16 JF - Magnetic resonance in medicine JO - Magn Reson Med VL - 70 IS - 2 N2 - Compressed sensing (CS) has been demonstrated to accelerate MRI acquisitions by reconstructing sparse images of good quality from highly undersampled data. Motion during MR scans can cause inconsistencies in k-space data, resulting in strong motion artifacts in the reconstructed images. For CS to be useful in these applications, motion correction techniques need to be combined with the undersampled reconstruction. Recently, joint motion correction and CS approaches have been proposed to partially correct for effects of motion. However, the main limitation of these approaches is that they can only correct for affine deformations. In this work, we propose a novel motion corrected CS framework for free-breathing dynamic cardiac MRI that incorporates a general motion correction formulation directly into the CS reconstruction. This framework can correct for arbitrary affine or nonrigid motion in the CS reconstructed cardiac images, while simultaneously benefiting from highly accelerated MR acquisition. The application of this approach is demonstrated both in simulations and in vivo data for 2D respiratory self-gated free-breathing cardiac CINE MRI, using a golden angle radial acquisition. Results show that this approach allows for the reconstruction of respiratory motion corrected cardiac CINE images with similar quality to breath-held acquisitions. SN - 1522-2594 UR - https://www.unboundmedicine.com/medline/citation/22899104/Motion_corrected_compressed_sensing_for_free_breathing_dynamic_cardiac_MRI_ L2 - https://doi.org/10.1002/mrm.24463 DB - PRIME DP - Unbound Medicine ER -