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Medientyp: E-Artikel Titel: Twenty‐five pitfalls in the analysis of diffusion MRI data Beteiligte: Jones, Derek K.; Cercignani, Mara Erschienen: Wiley, 2010 Erschienen in: NMR in Biomedicine Sprache: Englisch DOI: 10.1002/nbm.1543 ISSN: 0952-3480; 1099-1492 Entstehung: Anmerkungen: Beschreibung: <jats:title>Abstract</jats:title><jats:p>Obtaining reliable data and drawing meaningful and robust inferences from diffusion MRI can be challenging and is subject to many pitfalls. The process of quantifying diffusion indices and eventually comparing them between groups of subjects and/or correlating them with other parameters starts at the acquisition of the raw data, followed by a long pipeline of image processing steps. Each one of these steps is susceptible to sources of bias, which may not only limit the accuracy and precision, but can lead to substantial errors. This article provides a detailed review of the steps along the analysis pipeline and their associated pitfalls. These are grouped into <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib1">1</jats:ext-link> pre‐processing of data; <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib2">2</jats:ext-link> estimation of the tensor; <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib3">3</jats:ext-link> derivation of voxelwise quantitative parameters; <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib4">4</jats:ext-link> strategies for extracting quantitative parameters; and finally <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib5">5</jats:ext-link> intra‐subject and inter‐subject comparison, including region of interest, histogram, tract‐specific and voxel‐based analyses. The article covers important aspects of diffusion MRI analysis, such as motion correction, susceptibility and eddy current distortion correction, model fitting, region of interest placement, histogram and voxel‐based analysis. We have assembled 25 pitfalls (several previously unreported) into a single article, which should serve as a useful reference for those embarking on new diffusion MRI‐based studies, and as a check for those who may already be running studies but may have overlooked some important confounds. While some of these problems are well known to diffusion experts, they might not be to other researchers wishing to undertake a clinical study based on diffusion MRI. Copyright © 2010 John Wiley & Sons, Ltd.</jats:p>