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      Five‐minute whole‐heart coronary MRA with sub‐millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D‐PROST reconstruction

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          Abstract

          Purpose

          To enable whole‐heart 3D coronary magnetic resonance angiography (CMRA) with isotropic sub‐millimeter resolution in a clinically feasible scan time by combining respiratory motion correction with highly accelerated variable density sampling in concert with a novel 3D patch‐based undersampled reconstruction (3D‐PROST).

          Methods

          An undersampled variable density spiral‐like Cartesian trajectory was combined with 2D image‐based navigators to achieve 100% respiratory efficiency and predictable scan time. 3D‐PROST reconstruction integrates structural information from 3D patch neighborhoods through sparse representation, thereby exploiting the redundancy of the 3D anatomy of the coronary arteries in an efficient low‐rank formulation. The proposed framework was evaluated in a static resolution phantom and in 10 healthy subjects with isotropic resolutions of 1.2 mm 3 and 0.9 mm 3 and undersampling factors of ×5 and ×9. 3D‐PROST was compared against fully sampled (1.2 mm 3 only), conventional parallel imaging, and compressed sensing reconstructions.

          Results

          Phantom and in vivo (1.2 mm 3) reconstructions were in excellent agreement with the reference fully sampled image. In vivo average acquisition times (min:s) were 7:57 ± 1:18 (×5) and 4:35 ± 0:44 (×9) for 0.9 mm 3 resolution. Sub‐millimeter 3D‐PROST resulted in excellent depiction of the left and right coronary arteries including small branch vessels, leading to further improvements in vessel sharpness and visible vessel length in comparison with conventional reconstruction techniques. Image quality rated by 2 experts demonstrated that 3D‐PROST provides good image quality and is robust even at high acceleration factors.

          Conclusion

          The proposed approach enables free‐breathing whole‐heart 3D CMRA with isotropic sub‐millimeter resolution in <5 min and achieves improved coronary artery visualization in a short and predictable scan time.

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          Most cited references44

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          Iterative hard thresholding for compressed sensing

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            Advances in sensitivity encoding with arbitrary k-space trajectories.

            New, efficient reconstruction procedures are proposed for sensitivity encoding (SENSE) with arbitrary k-space trajectories. The presented methods combine gridding principles with so-called conjugate-gradient iteration. In this fashion, the bulk of the work of reconstruction can be performed by fast Fourier transform (FFT), reducing the complexity of data processing to the same order of magnitude as in conventional gridding reconstruction. Using the proposed method, SENSE becomes practical with nonstandard k-space trajectories, enabling considerable scan time reduction with respect to mere gradient encoding. This is illustrated by imaging simulations with spiral, radial, and random k-space patterns. Simulations were also used for investigating the convergence behavior of the proposed algorithm and its dependence on the factor by which gradient encoding is reduced. The in vivo feasibility of non-Cartesian SENSE imaging with iterative reconstruction is demonstrated by examples of brain and cardiac imaging using spiral trajectories. In brain imaging with six receiver coils, the number of spiral interleaves was reduced by factors ranging from 2 to 6. In cardiac real-time imaging with four coils, spiral SENSE permitted reducing the scan time per image from 112 ms to 56 ms, thus doubling the frame-rate. Copyright 2001 Wiley-Liss, Inc.
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              Adaptive reconstruction of phased array MR imagery

              An adaptive implementation of the spatial matched filter and its application to the reconstruction of phased array MR imagery is described. Locally relevant array correlation statistics for the NMR signal and noise processes are derived directly from the set of complex individual coil images, in the form of sample correlation matrices. Eigen-analysis yields an optimal filter vector for the estimated signal and noise array correlation statistics. The technique enables near-optimal reconstruction of multicoil MR imagery without a-priori knowledge of the individual coil field maps or noise correlation structure. Experimental results indicate SNR performance approaching that of the optimal matched filter. Compared to the sum-of-squares technique, the RMS noise level in dark image regions is reduced by as much as the square root of N, where N is the number of coils in the array. The technique is also effective in suppressing localized motion and flow artifacts. Copyright 2000 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                aurelien.bustin@kcl.ac.uk
                Journal
                Magn Reson Med
                Magn Reson Med
                10.1002/(ISSN)1522-2594
                MRM
                Magnetic Resonance in Medicine
                John Wiley and Sons Inc. (Hoboken )
                0740-3194
                1522-2594
                29 July 2018
                January 2019
                : 81
                : 1 ( doiID: 10.1002/mrm.v81.1 )
                : 102-115
                Affiliations
                [ 1 ] School of Biomedical Engineering and Imaging Sciences, King's College London London United Kingdom
                [ 2 ] MR Research Collaborations, Siemens Healthcare Limited Frimley United Kingdom
                [ 3 ] Escuela de Ingeniería, Pontificia Universidad Católica de Chile Santiago Chile
                Author notes
                [*] [* ] Correspondence Aurelien Bustin, Department School of Biomedical Engineering and Imaging Sciences Institute King's College London, Address 3 rd Floor, Lambeth Wing, St Thomas' Hospital, London SE1 7EH,United Kingdom Email: aurelien.bustin@ 123456kcl.ac.uk
                Author information
                http://orcid.org/0000-0002-2845-8617
                http://orcid.org/0000-0003-4669-0572
                http://orcid.org/0000-0002-1606-9550
                http://orcid.org/0000-0003-2811-2509
                http://orcid.org/0000-0003-4602-2523
                Article
                MRM27354
                10.1002/mrm.27354
                6617822
                30058252
                8dc55f21-f41f-4b7b-94c6-b772ac84e62b
                © 2018 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 January 2018
                : 23 March 2018
                : 19 April 2018
                Page count
                Figures: 6, Tables: 0, Pages: 14, Words: 7908
                Funding
                Funded by: Engineering and Physical Sciences Research Council
                Award ID: EPSRC EP/P001009/
                Award ID: EPSRC EP/P007619
                Award ID: FONDECYT 1161051
                Award ID: FONDECYT 1161055
                Award ID: EP/P001009
                Award ID: EP/P007619
                Funded by: Wellcome EPSRC Centre for Medical Engineering
                Award ID: NS/ A000049/1
                Funded by: National Institute for Health Research (NIHR)
                Funded by: King's College Hospital NHS Foundation Trust
                Funded by: Fondo Nacional de Desarrollo Científico y Tecnológico
                Award ID: 1161051
                Award ID: 1161055
                Categories
                Full Paper
                Full Papers—Imaging Methodology
                Custom metadata
                2.0
                mrm27354
                January 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.5 mode:remove_FC converted:10.07.2019

                Radiology & Imaging
                accelerated imaging,coronary mr angiography,isotropic sub‐millimeter resolution,patch reconstruction,respiratory motion,variable‐density undersampling

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