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How and how not to correct for CSF-contamination in diffusion MRI
Abstract
Diffusion MRI is used extensively to investigate changes in white matter microstructure related to brain development and pathology. Ageing, however, is also associated with significant white and grey matter loss which in turn can lead to cerebrospinal fluid (CSF) based partial volume artefacts in diffusion MRI metrics. This is especially problematic in regions prone to CSF contamination, such as the fornix and the genu of corpus callosum, structures that pass through or close to the ventricles respectively. The aim of this study was to model the effects of CSF contamination on diffusion MRI metrics, and to evaluate different post-acquisition strategies to correct for CSF-contamination: Controlling for whole brain volume and correcting on a voxel-wise basis using the Free Water Elimination (FWE) approach. Using the fornix as an exemplar of a structure prone to CSF-contamination, corrections were applied to tract-specific and voxel-based [tract based spatial statistics (TBSS)] analyses of empirical DT-MRI data from 39 older adults (53-93 years of age). In addition to significant age-related decreases in whole brain volume and fornix tissue volume fraction, age was also associated with a reduction in mean fractional anisotropy and increase in diffusivity metrics in the fornix. The experimental data agreed with the simulations in that diffusivity metrics (mean diffusivity, axial and radial diffusivity) were more prone to partial volume CSF-contamination errors than fractional ani…
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“Although Pasternak's approach has been found to reduce CSF contamination and to improve diffusion measures in white matter fiber tracts (Berlot et al., 2014, Metzler-Baddeley et al., 2012, Pasternak et al., 2009), a formal validation of this model is still missing.”
From Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction (2018) · cites this paper as Metzler-Baddeley et al., 2012
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Metadata
- Authors
- Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., Pasternak, O., & Jones, D. K.
- Affiliations
- King's College London (GB)
- Cardiff University (GB)
- Brigham and Women's Hospital (US)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 59
- Issue
- 2
- Pages
- 1394-1403
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2166305102
- Cited by
- 291
- References
- 56
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 18 · 2023: 16 · 2022: 26 · 2021: 17 · 2020: 23 · 2019: 16 · 2018: 23 · 2017: 24 · 2016: 22 · 2015: 21 · 2014: 29 · 2013: 20 · 2012: 14
- FWCI
- 15.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Medical Research Council, UK
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- cerebrospinal fluid contamination, diffusion MRI, fractional anisotropy, axial diffusivity, radial diffusivity, mean diffusivity, fornix, corpus callosum, white matter microstructure, brain aging, tract-based spatial statistics
- MeSH terms
- Aged, Aged, 80 and over, Algorithms, Brain, Cerebrospinal Fluid, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Middle Aged, Sensitivity and Specificity, Reproducibility of Results, Artifacts, Diffusion Magnetic Resonance Imaging
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