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Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.

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Title: Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.
Authors: Spilling CA; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.; Centre for Affective Disorders, Department of Psychological Medicine, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom., Howe FA; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom., Barrick TR; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.
Source: Magnetic resonance in medicine [Magn Reson Med] 2022 Dec; Vol. 88 (6), pp. 2532-2547. Date of Electronic Publication: 2022 Aug 31.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Spilling+CA%22">Spilling CA</searchLink>; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.; Centre for Affective Disorders, Department of Psychological Medicine, Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Howe+FA%22">Howe FA</searchLink>; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Barrick+TR%22">Barrick TR</searchLink>; Neurosciences Research Section, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8505245 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-2594 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207403194%22">07403194 </searchLink><i>NLM ISO Abbreviation: </i>Magn Reson Med <i>Subsets: </i>MEDLINE
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        Value: 10.1002/mrm.29420
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      – Code: eng
        Text: English
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        StartPage: 2532
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      – TitleFull: Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.
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            – D: 01
              M: 12
              Text: 2022 Dec
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