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      Is Open Access

      Image formation in diffusion MRI: A review of recent technical developments

      review-article

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          Abstract

          Diffusion magnetic resonance imaging (MRI) is a standard imaging tool in clinical neurology, and is becoming increasingly important for neuroscience studies due to its ability to depict complex neuroanatomy (eg, white matter connectivity). Single‐shot echo‐planar imaging is currently the predominant formation method for diffusion MRI, but suffers from blurring, distortion, and low spatial resolution. A number of methods have been proposed to address these limitations and improve diffusion MRI acquisition. Here, the recent technical developments for image formation in diffusion MRI are reviewed. We discuss three areas of advance in diffusion MRI: improving image fidelity, accelerating acquisition, and increasing the signal‐to‐noise ratio.

          Level of Evidence: 5

          Technical Efficacy: Stage 1

          J. MAGN. RESON. IMAGING 2017;46:646–662

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          Modified Spin-Echo Method for Measuring Nuclear Relaxation Times

          S. Meiboom, D. Gill (1958)
          Article 0 comments Cited 803 times – based on 0 reviews     Review now
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            SENSE: Sensitivity encoding for fast MRI

            Klaas Pruessmann, Markus Weiger, Markus Scheidegger … (1999)
            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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              Compressed Sensing MRI

              M Lustig, D.L. Donoho, J.M. Santos … (2008)
              Article 0 comments Cited 313 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Wenchuan Wu: wenchuan.wu@ndcn.ox.ac.uk
                Karla L. Miller: karla@fmrib.ox.ac.uk
                Journal
                Journal ID (nlm-ta): J Magn Reson Imaging
                Journal ID (iso-abbrev): J Magn Reson Imaging
                Journal ID (doi): 10.1002/(ISSN)1522-2586
                Journal ID (publisher-id): JMRI
                Title: Journal of Magnetic Resonance Imaging
                Publisher: John Wiley and Sons Inc. (Hoboken )
                ISSN (Print): 1053-1807
                ISSN (Electronic): 1522-2586
                Publication date (Electronic): 14 February 2017
                Publication date (Print): September 2017
                Volume: 46
                Issue: 3 ( doiID: 10.1002/jmri.v46.3 )
                Pages: 646-662
                Affiliations
                [ 1 ] FMRIB Centre, Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK
                Author notes
                [*] [* ]Address reprint request to: W.W., FMRIB Centre, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Headington, Oxford, OX3 9DU, UK. E‐mail: wenchuan.wu@ 123456ndcn.ox.ac.uk
                Article
                Publisher ID: JMRI25664
                DOI: 10.1002/jmri.25664
                PMC ID: 5574024
                PubMed ID: 28194821
                SO-VID: af428fc3-d146-465d-9359-d7048c7e2bd2
                Copyright © © 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine
                License:

                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.

                History
                Date received : 29 October 2016
                Date accepted : 25 January 2017
                Page count
                Figures: 10, Tables: 0, Pages: 17, Words: 10133
                Funding
                Funded by: Wellcome Trust
                Award ID: 091509/Z/10/Z
                Funded by: Marie Curie Initial Training Network
                Award ID: FP7‐PEOPLE‐2012‐ITN‐316716
                Categories
                Subject: Review Article
                Subject: Review Article
                Custom metadata
                source-schema-version-number 2.0
                component-id jmri25664
                cover-date September 2017
                details-of-publishers-convertor Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.8 mode:remove_FC converted:29.08.2017

                ScienceOpen disciplines: Radiology & Imaging
                Keywords: diffusion mri,pulse sequence,image artifacts,accelerated imaging,high‐resolution imaging,navigation
                Data availability:
                ScienceOpen disciplines: Radiology & Imaging
                Keywords: diffusion mri, pulse sequence, image artifacts, accelerated imaging, high‐resolution imaging, navigation

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