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Highly efficient nonrigid motion‐corrected 3D whole‐heart coronary vessel wall imaging

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      Abstract

      Purpose

      To develop a respiratory motion correction framework to accelerate free‐breathing three‐dimensional (3D) whole‐heart coronary lumen and coronary vessel wall MRI.

      Methods

      We developed a 3D flow‐independent approach for vessel wall imaging based on the subtraction of data with and without T2‐preparation prepulses acquired interleaved with image navigators. The proposed method corrects both datasets to the same respiratory position using beat‐to‐beat translation and bin‐to‐bin nonrigid corrections, producing coregistered, motion‐corrected coronary lumen and coronary vessel wall images. The proposed method was studied in 10 healthy subjects and was compared with beat‐to‐beat translational correction (TC) and no motion correction for the left and right coronary arteries. Additionally, the coronary lumen images were compared with a 6‐mm diaphragmatic navigator gated and tracked scan.

      Results

      No significant differences ( P > 0.01) were found between the proposed method and the gated and tracked scan for coronary lumen, despite an average improvement in scan efficiency to 96% from 59%. Significant differences ( P < 0.01) were found in right coronary artery vessel wall thickness, right coronary artery vessel wall sharpness, and vessel wall visual score between the proposed method and TC.

      Conclusion

      The feasibility of a highly efficient motion correction framework for simultaneous whole‐heart coronary lumen and vessel wall has been demonstrated. Magn Reson Med 77:1894–1908, 2017. © 2016 International Society for Magnetic Resonance in Medicine

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      Most cited references 48

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        A method is described for the correction of geometric distortions occurring in echo planar images. The geometric distortions are caused in large part by static magnetic field inhomogeneities, leading to pixel shifts, particularly in the phase encode direction. By characterizing the field inhomogeneities from a field map, the image can be unwarped so that accurate alignment to conventionally collected images can be made. The algorithm to perform the unwarping is described, and results from echo planar images collected at 1.5 and 4 Tesla are shown.
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          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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            Author and article information

            Affiliations
            [ 1 ]King's College London, Division of Imaging Sciences and Biomedical Engineering LondonUnited Kingdom
            [ 2 ] Centre for Medical ImagingUniversity College London LondonUnited Kingdom
            [ 3 ]Pontificia Universidad Católica de Chile, Escuela de Ingeniería SantiagoChile
            Author notes
            [* ]Correspondence to: Gastão Cruz, Division of Imaging Sciences and Biomedical Engineering, The Rayne Institute, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, United Kingdom. E‐mail: gastao.cruz@ 123456kcl.ac.uk
            Contributors
            gastao.cruz@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
            25 May 2016
            May 2017
            : 77
            : 5 ( doiID: 10.1002/mrm.v77.5 )
            : 1894-1908
            27221073 5412916 10.1002/mrm.26274 MRM26274
            © 2016 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 Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

            Counts
            Figures: 7, Tables: 2, Pages: 15, Words: 7034
            Product
            Funding
            Funded by: MRC
            Award ID: MR/L009676/1
            Funded by: BHF
            Award ID: RG/12/1/29262
            Funded by: The Centre of Excellence in Medical Engineering, funded by the Wellcome Trust and EPSRC
            Award ID: WT 088641/Z/09/Z
            Funded by: Department of Health, via the National Institute for Health Research comprehensive Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust
            Categories
            Full Paper
            Imaging Methodology—Full Papers
            Custom metadata
            2.0
            mrm26274
            May 2017
            Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.9 mode:remove_FC converted:02.05.2017

            Radiology & Imaging

            image navigators, nonrigid motion, coronary vessel wall, coronary mra

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