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Title
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Harmonisation of brain diffusion MRI : concepts and methods
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Author
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Abstract
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| MRI diffusion data suffers from significant inter- and intra-site variability, which hinders multi-site and/or longitudinal diffusion studies. This variability may arise from a range of factors, such as hardware, reconstruction algorithms and acquisition settings. To allow a reliable comparison and joint analysis of diffusion data across sites and over time, there is a clear need for robust data harmonisation methods. This review article provides a comprehensive overview of diffusion data harmonisation concepts and methods, and their limitations. Overall, the methods for the harmonisation of multi-site diffusion images can be categorized in two main groups: diffusion parametric map harmonisation (DPMH) and diffusion weighted image harmonisation (DWIH). Whereas DPMH harmonises the diffusion parametric maps (e.g., FA, MD , MK ), DWIH harmonises the diffusion-weighted images. Defining a gold standard harmonisation technique for dMRI data is still an ongoing challenge. Nevertheless, in this paper we provide two classification tools, namely a feature table and a flowchart, which aim to guide the readers in selecting an appropriate harmonisation method for their study. |
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Language
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English
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Source (journal)
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Frontiers in neuroscience. - Lausanne
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Publication
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Lausanne
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Frontiers media sa
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2020
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ISSN
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1662-4548
1662-453X
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DOI
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10.3389/FNINS.2020.00396
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Volume/pages
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14
(2020)
, p. 1-17
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Article Reference
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396
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ISI
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000536611200001
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Pubmed ID
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32435181
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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