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Image registration guided, sparsity constrained reconstructions for dynamic MRI.
Magn Reson Imaging 2014; 32(10):1403-17MR

Abstract

It is generally a challenging task to reconstruct dynamic magnetic resonance (MR) images with high spatial and high temporal resolutions, especially with highly incomplete k-space sampling. In this work, a novel method that combines a non-rigid image registration technique with sparsity-constrained image reconstruction is introduced. Employing a multi-resolution free-form deformation technique with B-spline interpolations, the non-rigid image registration accurately models the complex deformations of the physiological dynamics, and provides artifact-suppressed high spatial-resolution predictions. Based on these prediction images, the sparsity-constrained data fidelity-enforced image reconstruction further improves the reconstruction accuracy. When compared with the k-t FOCUSS with motion estimation/motion compensation (MEMC) technique on volunteer scans, the proposed method consistently outperforms in both the spatial and the temporal accuracy with variously accelerated k-space sampling. High fidelity reconstructions for dynamic systolic phases with reduction factor of 10 and cardiac perfusion series with reduction factor of 3 are presented.

Authors+Show Affiliations

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia.School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: feng@itee.uq.edu.au.School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

25131631

Citation

Jin, Jin, et al. "Image Registration Guided, Sparsity Constrained Reconstructions for Dynamic MRI." Magnetic Resonance Imaging, vol. 32, no. 10, 2014, pp. 1403-17.
Jin J, Liu F, Crozier S. Image registration guided, sparsity constrained reconstructions for dynamic MRI. Magn Reson Imaging. 2014;32(10):1403-17.
Jin, J., Liu, F., & Crozier, S. (2014). Image registration guided, sparsity constrained reconstructions for dynamic MRI. Magnetic Resonance Imaging, 32(10), pp. 1403-17. doi:10.1016/j.mri.2014.08.006.
Jin J, Liu F, Crozier S. Image Registration Guided, Sparsity Constrained Reconstructions for Dynamic MRI. Magn Reson Imaging. 2014;32(10):1403-17. PubMed PMID: 25131631.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Image registration guided, sparsity constrained reconstructions for dynamic MRI. AU - Jin,Jin, AU - Liu,Feng, AU - Crozier,Stuart, Y1 - 2014/08/15/ PY - 2013/07/11/received PY - 2014/06/30/revised PY - 2014/08/08/accepted PY - 2014/8/19/entrez PY - 2014/8/19/pubmed PY - 2015/8/1/medline KW - Cardiac cine KW - Cardiac perfusion KW - Compressed sensing (CS) KW - Dynamic magnetic resonance imaging (dMRI) KW - Free-form deformation (FFD) KW - Non-rigid image registration SP - 1403 EP - 17 JF - Magnetic resonance imaging JO - Magn Reson Imaging VL - 32 IS - 10 N2 - It is generally a challenging task to reconstruct dynamic magnetic resonance (MR) images with high spatial and high temporal resolutions, especially with highly incomplete k-space sampling. In this work, a novel method that combines a non-rigid image registration technique with sparsity-constrained image reconstruction is introduced. Employing a multi-resolution free-form deformation technique with B-spline interpolations, the non-rigid image registration accurately models the complex deformations of the physiological dynamics, and provides artifact-suppressed high spatial-resolution predictions. Based on these prediction images, the sparsity-constrained data fidelity-enforced image reconstruction further improves the reconstruction accuracy. When compared with the k-t FOCUSS with motion estimation/motion compensation (MEMC) technique on volunteer scans, the proposed method consistently outperforms in both the spatial and the temporal accuracy with variously accelerated k-space sampling. High fidelity reconstructions for dynamic systolic phases with reduction factor of 10 and cardiac perfusion series with reduction factor of 3 are presented. SN - 1873-5894 UR - https://www.unboundmedicine.com/medline/citation/25131631/Image_registration_guided_sparsity_constrained_reconstructions_for_dynamic_MRI_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0730-725X(14)00236-7 DB - PRIME DP - Unbound Medicine ER -