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Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories.
J Magn Reson 2015; 260:10-9JM

Abstract

In dynamic cardiac cine Magnetic Resonance Imaging (MRI), the spatiotemporal resolution is limited by the low imaging speed. Compressed sensing (CS) theory has been applied to improve the imaging speed and thus the spatiotemporal resolution. The purpose of this paper is to improve CS reconstruction of under sampled data by exploiting spatiotemporal sparsity and efficient spiral trajectories. We extend k-t sparse algorithm to spiral trajectories to achieve high spatio temporal resolutions in cardiac cine imaging. We have exploited spatiotemporal sparsity of cardiac cine MRI by applying a 2D+time wavelet-Fourier transform. For efficient coverage of k-space, we have used a modified version of multi shot (interleaved) spirals trajectories. In order to reduce incoherent aliasing artifact, we use different random undersampling pattern for each temporal frame. Finally, we have used nonuniform fast Fourier transform (NUFFT) algorithm to reconstruct the image from the non-uniformly acquired samples. The proposed approach was tested in simulated and cardiac cine MRI data. Results show that higher acceleration factors with improved image quality can be obtained with the proposed approach in comparison to the existing state-of-the-art method. The flexibility of the introduced method should allow it to be used not only for the challenging case of cardiac imaging, but also for other patient motion where the patient moves or breathes during acquisition.

Authors+Show Affiliations

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada.Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada. Electronic address: javad@ee.ryerson.ca.Department of Medical Imaging, University of Saskatoon Health Region, Royal University Hospital, Saskatoon, Canada.

Pub Type(s)

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

Language

eng

PubMed ID

26397216

Citation

Tolouee, Azar, et al. "Compressed Sensing Reconstruction of Cardiac Cine MRI Using Golden Angle Spiral Trajectories." Journal of Magnetic Resonance (San Diego, Calif. : 1997), vol. 260, 2015, pp. 10-9.
Tolouee A, Alirezaie J, Babyn P. Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories. J Magn Reson. 2015;260:10-9.
Tolouee, A., Alirezaie, J., & Babyn, P. (2015). Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories. Journal of Magnetic Resonance (San Diego, Calif. : 1997), 260, pp. 10-9. doi:10.1016/j.jmr.2015.09.003.
Tolouee A, Alirezaie J, Babyn P. Compressed Sensing Reconstruction of Cardiac Cine MRI Using Golden Angle Spiral Trajectories. J Magn Reson. 2015;260:10-9. PubMed PMID: 26397216.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Compressed sensing reconstruction of cardiac cine MRI using golden angle spiral trajectories. AU - Tolouee,Azar, AU - Alirezaie,Javad, AU - Babyn,Paul, Y1 - 2015/09/10/ PY - 2015/03/13/received PY - 2015/08/31/revised PY - 2015/09/01/accepted PY - 2015/9/24/entrez PY - 2015/9/24/pubmed PY - 2016/9/7/medline KW - Cardiac cine MRI KW - Compressed sensing KW - Spiral trajectory KW - k–t space sparsity SP - 10 EP - 9 JF - Journal of magnetic resonance (San Diego, Calif. : 1997) JO - J. Magn. Reson. VL - 260 N2 - In dynamic cardiac cine Magnetic Resonance Imaging (MRI), the spatiotemporal resolution is limited by the low imaging speed. Compressed sensing (CS) theory has been applied to improve the imaging speed and thus the spatiotemporal resolution. The purpose of this paper is to improve CS reconstruction of under sampled data by exploiting spatiotemporal sparsity and efficient spiral trajectories. We extend k-t sparse algorithm to spiral trajectories to achieve high spatio temporal resolutions in cardiac cine imaging. We have exploited spatiotemporal sparsity of cardiac cine MRI by applying a 2D+time wavelet-Fourier transform. For efficient coverage of k-space, we have used a modified version of multi shot (interleaved) spirals trajectories. In order to reduce incoherent aliasing artifact, we use different random undersampling pattern for each temporal frame. Finally, we have used nonuniform fast Fourier transform (NUFFT) algorithm to reconstruct the image from the non-uniformly acquired samples. The proposed approach was tested in simulated and cardiac cine MRI data. Results show that higher acceleration factors with improved image quality can be obtained with the proposed approach in comparison to the existing state-of-the-art method. The flexibility of the introduced method should allow it to be used not only for the challenging case of cardiac imaging, but also for other patient motion where the patient moves or breathes during acquisition. SN - 1096-0856 UR - https://www.unboundmedicine.com/medline/citation/26397216/Compressed_sensing_reconstruction_of_cardiac_cine_MRI_using_golden_angle_spiral_trajectories_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1090-7807(15)00203-7 DB - PRIME DP - Unbound Medicine ER -