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      Projection-based respiratory-resolved left ventricular volume measurements in patients using free-breathing double golden-angle 3D radial acquisition

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          Abstract

          Objective

          To refine a new technique to measure respiratory-resolved left ventricular end-diastolic volume (LVEDV) in mid-inspiration and mid-expiration using a respiratory self-gating technique and demonstrate clinical feasibility in patients.

          Materials and methods

          Ten consecutive patients were imaged at 1.5 T during 10 min of free breathing using a 3D golden-angle radial trajectory. Two respiratory self-gating signals were extracted and compared: from the k-space center of all acquired spokes, and from a superior–inferior projection spoke repeated every 64 ms. Data were binned into end-diastole and two respiratory phases of 15% respiratory cycle duration in mid-inspiration and mid-expiration. LVED volume and septal–lateral diameter were measured from manual segmentation of the endocardial border.

          Results

          Respiratory-induced variation in LVED size expressed as mid-inspiration relative to mid-expiration was, for volume, 1 ± 8% with k-space-based self-gating and 8 ± 2% with projection-based self-gating ( P = 0.04), and for septal–lateral diameter, 2 ± 2% with k-space-based self-gating and 10 ± 1% with projection-based self-gating ( P = 0.002).

          Discussion

          Measuring respiratory variation in LVED size was possible in clinical patients with projection-based respiratory self-gating, and the measured respiratory variation was consistent with previous studies on healthy volunteers. Projection-based self-gating detected a higher variation in LVED volume and diameter during respiration, compared to k-space-based self-gating.

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          Most cited references23

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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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              XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing.

              To develop a novel framework for free-breathing MRI called XD-GRASP, which sorts dynamic data into extra motion-state dimensions using the self-navigation properties of radial imaging and reconstructs the multidimensional dataset using compressed sensing.
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                Author and article information

                Contributors
                andreas.sigfridsson@gmail.com
                Journal
                MAGMA
                MAGMA
                Magma (New York, N.y.)
                Springer International Publishing (Cham )
                0968-5243
                1352-8661
                12 December 2018
                12 December 2018
                2019
                : 32
                : 3
                : 331-341
                Affiliations
                [1 ]ISNI 0000 0000 9241 5705, GRID grid.24381.3c, Department of Clinical Physiology, , Karolinska Institutet and Karolinska University Hospital, ; Stockholm, Sweden
                [2 ]ISNI 0000 0000 9919 9582, GRID grid.8761.8, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, , Gothenburg University, ; Gothenburg, Sweden
                Article
                727
                10.1007/s10334-018-0727-3
                6525134
                30542953
                ccfbdc46-8307-4b04-b082-60afc6fec172
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 2 July 2018
                : 29 November 2018
                : 2 December 2018
                Funding
                Funded by: Stiftelsen för Strategisk Forskning (SE)
                Award ID: SSF ICA-120063
                Award Recipient :
                Funded by: Stockholms Läns Landsting (SE)
                Award ID: ALF LS 1411-1372
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2019

                Radiology & Imaging
                cardiac imaging,respiratory resolved,golden-angle,radial,three-dimensional,self-gating

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