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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 references44

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          Methods of conjugate gradients for solving linear systems

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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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              Accelerating the Nonuniform Fast Fourier Transform

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                Author and article information

                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
                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
                Article
                MRM26274
                10.1002/mrm.26274
                5412916
                27221073
                a08c7060-1f1b-42ab-8f73-0cd51d4e3880
                © 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.

                Page count
                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
                nonrigid motion,coronary vessel wall,coronary mra,image navigators
                Radiology & Imaging
                nonrigid motion, coronary vessel wall, coronary mra, image navigators

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