ArticleMagma (New York, N.Y.)2024
Signal drift in diffusion MRI of the brain: effects on intravoxel incoherent motion parameter estimates.
Article in Magma (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Assessing Measurement Repeatability of a Novel Anisotropic Phantom for Advanced Diffusion MRI Models.Magnetic resonance in medicine · 2026Article
- Modeling the Intermediate Flow Regime in Flow-Compensated Intravoxel Incoherent Motion MRI.Magnetic resonance in medicine · 2026Article
- Optimized acquisition for simultaneous intravoxel incoherent motion and RMagnetic resonance in medicine · 2025Article
- Effect of inaccurate b-values from imaging gradients on intravoxel incoherent motion.Magnetic resonance in medicine · 2025Article
- Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q MINDED brain intra- and inter-scanner study.Frontiers in neuroscience · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
objectivesSignal drift has been put forward as one of the fundamental confounding factors in diffusion MRI (dMRI) of the brain. This study characterizes signal drift in dMRI of the brain, evaluates correction methods, and exemplifies its impact on parameter estimation for three intravoxel incoherent motion (IVIM) protocols. MATERIALS AND
methodsdMRI of the brain was acquired in ten healthy subjects using protocols designed to enable retrospective characterization and correction of signal drift. All scans were acquired twice for repeatability analysis. Three temporal polynomial correction methods were evaluated: (1) global, (2) voxelwise, and (3) spatiotemporal. Effects of acquisition order were simulated using estimated drift fields.
resultsSignal drift was around 2% per 5 min in the brain as a whole, but reached above 5% per 5 min in the frontal regions. Only correction methods taking spatially varying signal drift into account could achieve effective corrections. Altered acquisition order introduced both systematic changes and differences in repeatability in the presence of signal drift. DISCUSSION: Signal drift in dMRI of the brain was found to be spatially varying, calling for correction methods taking this into account. Without proper corrections, choice of protocol can affect dMRI parameter estimates and their repeatability.
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