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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

          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).

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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

                Journal
                Magn Reson Med
                Magnetic resonance in medicine
                Wiley
                1522-2594
                0740-3194
                January 2019
                : 81
                : 1
                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.
                Article
                10.1002/mrm.27354
                30058252
                8dc55f21-f41f-4b7b-94c6-b772ac84e62b
                History

                isotropic sub-millimeter resolution,accelerated imaging,coronary MR angiography,patch reconstruction,respiratory motion,variable-density undersampling

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