Accelerated cardiac cine MRI using locally low rank and finite difference constraints

Xin Miao; Sajan Goud Lingala; Yi Guo; Terrence Jao; Muhammad Usman; Claudia Prieto; Krishna S Nayak

doi:10.1016/j.mri.2016.03.007

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Accelerated cardiac cine MRI using locally low rank and finite difference constraints

Journal article

Peer reviewed

Accelerated cardiac cine MRI using locally low rank and finite difference constraints

Xin Miao, Sajan Goud Lingala, Yi Guo, Terrence Jao, Muhammad Usman, Claudia Prieto and Krishna S Nayak

Magnetic resonance imaging, Vol.34(6), pp.707-714

07/2016

DOI: 10.1016/j.mri.2016.03.007

PMID: 26968142

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Abstract

To evaluate the potential value of combining multiple constraints for highly accelerated cardiac cine MRI. A locally low rank (LLR) constraint and a temporal finite difference (FD) constraint were combined to reconstruct cardiac cine data from highly undersampled measurements. Retrospectively undersampled 2D Cartesian reconstructions were quantitatively evaluated against fully-sampled data using normalized root mean square error, structural similarity index (SSIM) and high frequency error norm (HFEN). This method was also applied to 2D golden-angle radial real-time imaging to facilitate single breath-hold whole-heart cine (12 short-axis slices, 9–13s single breath hold). Reconstruction was compared against state-of-the-art constrained reconstruction methods: LLR, FD, and k-t SLR. At 10 to 60 spokes/frame, LLR+FD better preserved fine structures and depicted myocardial motion with reduced spatio-temporal blurring in comparison to existing methods. LLR yielded higher SSIM ranking than FD; FD had higher HFEN ranking than LLR. LLR+FD combined the complimentary advantages of the two, and ranked the highest in all metrics for all retrospective undersampled cases. Single breath-hold multi-slice cardiac cine with prospective undersampling was enabled with in-plane spatio-temporal resolutions of 2×2mm2 and 40ms. Highly accelerated cardiac cine is enabled by the combination of 2D undersampling and the synergistic use of LLR and FD constraints.

Cardiac cine MRI

Compressed sensing

Constrained reconstruction

Locally low rank

Parallel imaging

Sparse sampling

Details

Title: Subtitle: Accelerated cardiac cine MRI using locally low rank and finite difference constraints
Creators: Xin Miao - University of Southern California
Sajan Goud Lingala - University of Southern California
Yi Guo - University of Southern California
Terrence Jao - University of Southern California
Muhammad Usman - King's College London
Claudia Prieto - King's College London
Krishna S Nayak - University of Southern California
Resource Type: Journal article
Publication Details: Magnetic resonance imaging, Vol.34(6), pp.707-714
DOI: 10.1016/j.mri.2016.03.007
PMID: 26968142
NLM abbreviation: Magn Reson Imaging
ISSN: 0730-725X
eISSN: 1873-5894
Publisher: Elsevier Inc
Grant note: DOI: 10.13039/100000968, name: American Heart Association, award: 13GRNT13850012; DOI: 10.13039/100001062, name: Wallace H. Coulter Foundation
Language: English
Date published: 07/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984197137602771

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