Journal article
Image formation in diffusion MRI: A review of recent technical developments
- 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 J. Magn. Reson. Imaging 2017.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1002/jmri.25664
Authors
+ European Union
More from this funder
- Funding agency for:
- Wu, W
- Grant:
- Marie Curie Initial Training Net-work program FP7-PEOPLE-2012-ITN-316716
- Publisher:
- Wiley
- Journal:
- Journal of Magnetic Resonance Imaging More from this journal
- Volume:
- 46
- Issue:
- 3
- Pages:
- 646–662
- Publication date:
- 2017-02-14
- DOI:
- EISSN:
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1522-2586
- ISSN:
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1053-1807
- Language:
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English
- Keywords:
- Pubs id:
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pubs:680813
- UUID:
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uuid:eeeeba81-0fbf-440a-9955-3d758ad2827f
- Local pid:
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pubs:680813
- Deposit date:
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2017-02-23
Terms of use
- Copyright holder:
- Wu and Miller
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017 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 Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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