ArticleMagnetic resonance in medicine2016
Gibbs ringing in diffusion MRI.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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Who cites it
85 citing papers in PubMed.
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- Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography.Brain structure & function · 2026Review
- deepmriprep: voxel-based morphometry preprocessing via deep neural networks.Nature computational science · 2026Article
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- Structural connectome construction using constrained spherical deconvolution in multi-shell diffusion-weighted magnetic resonance imaging.Nature protocols · 2025Review
- Sex Differences in the Striatal Contributions to Longitudinal Fine Motor Development in Autistic Children.Biological psychiatry · 2025Article
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging.Magnetic resonance in medicine · 2025Review
- Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP.Scientific reports · 2025Article
- Development and evaluation of a deep learning model for multi-frequency Gibbs artifact elimination.Quantitative imaging in medicine and surgery · 2025Article
- Asymmetric white matter degeneration in amyotrophic lateral sclerosis: a diffusion kurtosis imaging study of motor and extra-motor pathways.Frontiers in neuroscience · 2025Article
- Charting cortical-layer specific area boundaries using Gibbs' ringing attenuated T1w/T2w-FLAIR myelin MRI.bioRxiv : the preprint server for biology · 2024Article
- Improved cognition and preserved hippocampal fractional anisotropy in subjects undergoing carotid endarterectomy "CEA preserves cognition & hippocampal structure".Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024Article
- White matter and latency of visual evoked potentials during maturation: A miniature pig model of adolescent development.Journal of neuroscience methods · 2024Article
- Structure-function coupling changes in first-episode, treatment-naïve schizophrenia correlate with cell type-specific transcriptional signature.BMC medicine · 2024Article
- Serum lipidome associates with neuroimaging features in patients with traumatic brain injury.iScience · 2024Article
- Cross-Vendor Test-Retest Validation of Diffusion Tensor Image Analysis along the Perivascular Space (DTI-ALPS) for Evaluating Glymphatic System Function.Aging and disease · 2024Article
- The effect of elimination of gibbs ringing, noise and systematic errors on the DTI metrics and tractography in a rat brain.Scientific reports · 2024Article
- Analysis of blurring due to short TArXiv · 2024Article
25 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
purposeTo study and reduce the effect of Gibbs ringing artifact on computed diffusion parameters.
methodsWe reduce the ringing by extrapolating the k-space of each diffusion weighted image beyond the measured part by selecting an adequate regularization term. We evaluate several regularization terms and tune the regularization parameter to find the best compromise between anatomical accuracy of the reconstructed image and suppression of the Gibbs artifact.
resultsWe demonstrate empirically and analytically that the Gibbs artifact, which is typically observed near sharp edges in magnetic resonance images, has a significant impact on the quantification of diffusion model parameters, even for infinitesimal diffusion weighting. We find the second order total generalized variation to be a good choice for the penalty term to regularize the extrapolation of the k-space, as it provides a parsimonious representation of images, a practically full suppression of Gibbs ringing, and the absence of staircasing artifacts typical for total variation methods.
conclusionsRegularized extrapolation of the k-space data significantly reduces truncation artifacts without compromising spatial resolution in comparison to the default option of window filtering. In particular, accuracy of estimating diffusion tensor imaging and diffusion kurtosis imaging parameters improves so much that unconstrained fits become possible. Magn Reson Med 76:301-314, 2016. © 2015 Wiley Periodicals, Inc.
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