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Magnetic Resonance Materials in Physics, Biology and Medicine

Published in:

01-02-2018 | Research Article

Motion-compensated data decomposition algorithm to accelerate dynamic cardiac MRI

Authors: Azar Tolouee, Javad Alirezaie, Paul Babyn

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 1/2018

Abstract

Objectives

In dynamic cardiac magnetic resonance imaging (MRI), the spatiotemporal resolution is often limited by low imaging speed. Compressed sensing (CS) theory can be applied to improve imaging speed and spatiotemporal resolution. The combination of compressed sensing and low-rank matrix completion represents an attractive means to further increase imaging speed. By extending prior work, a Motion-Compensated Data Decomposition (MCDD) algorithm is proposed to improve the performance of CS for accelerated dynamic cardiac MRI.

Materials and methods

The process of MCDD can be described as follows: first, we decompose the dynamic images into a low-rank (L) and a sparse component (S). The L component includes periodic motion in the background, since it is highly correlated among frames, and the S component corresponds to respiratory motion. A motion-estimation/motion-compensation (ME-MC) algorithm is then applied to the low-rank component to reconstruct a cardiac motion compensated dynamic cardiac MRI.

Results

With validations on the numerical phantom and in vivo cardiac MRI data, we demonstrate the utility of the proposed scheme in significantly improving compressed sensing reconstructions by minimizing motion artifacts. The proposed method achieves higher PSNR and lower MSE and HFEN for medium to high acceleration factors.

Conclusion

The proposed method is observed to yield reconstructions with minimal spatiotemporal blurring and motion artifacts in comparison to the existing state-of-the-art methods.

http://cai2r.net/research/ls-reconstruction, https://research.engineering.uiowa.edu/cbig/content/software.

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Title: Motion-compensated data decomposition algorithm to accelerate dynamic cardiac MRI
Authors: Azar Tolouee
Javad Alirezaie
Paul Babyn
Publication date: 01-02-2018
Publisher: Springer Berlin Heidelberg
Published in: Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 1/2018
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI: https://doi.org/10.1007/s10334-017-0628-x

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Motion-compensated data decomposition algorithm to accelerate dynamic cardiac MRI

Abstract

Objectives

Materials and methods

Results

Conclusion

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Springer Medicine

Abstract

Objectives

Materials and methods

Results

Conclusion

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