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      Low‐field MRI: An MR physics perspective

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          Abstract

          Historically, clinical MRI started with main magnetic field strengths in the ∼0.05–0.35T range. In the past 40 years there have been considerable developments in MRI hardware, with one of the primary ones being the trend to higher magnetic fields. While resulting in large improvements in data quality and diagnostic value, such developments have meant that conventional systems at 1.5 and 3T remain relatively expensive pieces of medical imaging equipment, and are out of the financial reach for much of the world. In this review we describe the current state‐of‐the‐art of low‐field systems (defined as 0.25–1T), both with respect to its low cost, low foot‐print, and subject accessibility. Furthermore, we discuss how low field could potentially benefit from many of the developments that have occurred in higher‐field MRI.

          In the first section, the signal‐to‐noise ratio (SNR) dependence on the static magnetic field and its impact on the achievable contrast, resolution, and acquisition times are discussed from a theoretical perspective. In the second section, developments in hardware (eg, magnet, gradient, and RF coils) used both in experimental low‐field scanners and also those that are currently in the market are reviewed. In the final section the potential roles of new acquisition readouts, motion tracking, and image reconstruction strategies, currently being developed primarily at higher fields, are presented.

          Level of Evidence: 5

          Technical Efficacy Stage: 1

          J. Magn. Reson. Imaging 2019.

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          Most cited references71

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          SENSE: Sensitivity encoding for fast MRI

          New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. For this case the feasibility of the proposed methods was verified both in vitro and in vivo. Scan time was reduced to one-half using a two-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999. Copyright 1999 Wiley-Liss, Inc.
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            Magnetic Resonance Fingerprinting

            Summary Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the non-invasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.
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              Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo.

              Brain water proton (1H2O) longitudinal relaxation time constants (T1) were obtained from three healthy individuals at magnetic field strengths (B0) of 0.2 Tesla (T), 1.0T, 1.5T, 4.0T, and 7.0T. A 5-mm midventricular axial slice was sampled using a modified Look-Locker technique with 1.5 mm in-plane resolution, and 32 time points post-adiabatic inversion. The results confirmed that for most brain tissues, T1 values increased by more than a factor of 3 between 0.2T and 7T, and over this range were well fitted by T1 (s)=0.583(B0)0.382, T1(s)=0.857(B0)0.376, and T1(s)=1.35(B0)0.340 for white matter (WM), internal GM, and blood 1H2O, respectively. The ventricular cerebrospinal fluid (CSF) 1H2O T1 value did not change with B0, and its average value (standard deviation (SD)) across subjects and magnetic fields was 4.3 (+/-0.2) s. The tissue 1/T1 values at each field were well correlated with the macromolecular mass fraction, and to a lesser extent tissue iron content. The field-dependent increases in 1H2O T1 values more than offset the well-known decrease in typical MRI contrast reagent (CR) relaxivity, and simulations predict that this leads to lower CR concentration detection thresholds with increased magnetic field. Copyright (c) 2007 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                j.marques@donders.ru.nl
                Journal
                J Magn Reson Imaging
                J Magn Reson Imaging
                10.1002/(ISSN)1522-2586
                JMRI
                Journal of Magnetic Resonance Imaging
                John Wiley & Sons, Inc. (Hoboken, USA )
                1053-1807
                1522-2586
                13 January 2019
                June 2019
                : 49
                : 6 ( doiID: 10.1002/jmri.v49.6 )
                : 1528-1542
                Affiliations
                [ 1 ] Radboud University, Donders Institute for Brain, Cognition and Behaviour Nijmegen The Netherlands
                [ 2 ] Magnetic Detection & Imaging, Technical Medical Centre University of Twente The Netherlands
                [ 3 ] C.J.Gorter Center for High Field MRI, Department of Radiology Leiden University Medical Centre The Netherlands
                Author notes
                [*] [* ]Address reprint requests to: J.P.M., Donders Centre for Cognitive Neuroimaging Kapittelweg 29 6525 EN Nijmegen, The Netherlands. E‐mail: j.marques@ 123456donders.ru.nl
                Article
                JMRI26637
                10.1002/jmri.26637
                6590434
                30637943
                10292be2-5acb-47df-bbe8-4ce2a3a01342
                © 2019 The Authors. Journal of Magnetic Resonance Imaging 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-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 20 September 2018
                : 28 November 2018
                : 28 November 2018
                Page count
                Figures: 9, Tables: 1, Pages: 15, Words: 11107
                Categories
                Review Article
                Review Articles
                Custom metadata
                2.0
                jmri26637
                June 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.4 mode:remove_FC converted:24.06.2019

                Radiology & Imaging
                low‐field systems,state‐of‐the‐art,mri
                Radiology & Imaging
                low‐field systems, state‐of‐the‐art, mri

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