ArticleMagnetic resonance imaging2021
Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI.
Article in Magnetic resonance imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 23 citations in OpenAlex.
- Overcoming pitfalls in multi-stack diffusion MRI for tractography reconstruction of skeletal muscles.Scientific reports · 2026Article
- Is correction for gradient nonlinearity necessary in a brain diffusion tensor MRI clinical study?PloS one · 2026Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- Open-source quality assurance for multi-parametric MRI: a diffusion analysis update for the magnetic resonance biomarker assessment software (MR-BIAS).Magma (New York, N.Y.) · 2025Article
- Clinical and MRI features contributing to the clinico-radiological dissociation in a large cohort of people with multiple sclerosis.Journal of neurology · 2025Article
- Quantitative brain volumetry in neurological disorders: from disease mechanisms to software solutions.Polish journal of radiology · 2025Review
- Diagnostic performance of a multi-shell DTI protocol and its subsets with B-matrix spatial distribution correction in differentiating early multiple sclerosis patients from healthy controls.Frontiers in neurology · 2025Article
- Nonlinear Gradient Field Mapping Using a Spherical Grid Phantom for 3 and 7 Tesla MR Imaging Systems Equipped with High-performance Gradient Coils.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 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
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.ArXiv · 2024Article
- Efficient approximate signal reconstruction for correction of gradient nonlinearities in diffusion-weighted imaging.Magnetic resonance imaging · 2023Article
- Mapping the impact of nonlinear gradient fields with noise on diffusion MRI.Magnetic resonance imaging · 2023Article
- Mapping the Impact of Approximate Gradient Nonlinearity Fields Correction on Tractography.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Diffusion-Weighted MRI Monitoring of Embolic Brain Stroke for COVID-19 Patients.Advanced biomedical research · 2023Article
- Diffusion-weighted imaging and diffusion tensor imaging of the heartPostepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022Review
- What's new and what's next in diffusion MRI preprocessing.NeuroImage · 2022Review
- Diffusion as a Natural Contrast in MR Imaging of Peripheral Artery Disease (PAD) Tissue Changes. A Case Study of the Clinical Application of DTI for a Patient with Chronic Calf Muscles Ischemia.Diagnostics (Basel, Switzerland) · 2021Article
- Mapping the Impact of Non-Linear Gradient Fields on Diffusion MRI Tensor Estimation.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAchieving inter-site / inter-scanner reproducibility of diffusion weighted magnetic resonance imaging (DW-MRI) metrics has been challenging given differences in acquisition protocols, analysis models, and hardware factors. PURPOSE: Magnetic field gradients impart scanner-dependent spatial variations in the applied diffusion weighting that can be corrected if the gradient nonlinearities are known. However, retrieving manufacturer nonlinearity specifications is not well supported and may introduce errors in interpretation of units or coordinate systems. We propose an empirical approach to mapping the gradient nonlinearities with sequences that are supported across the major scanner vendors. STUDY TYPE: Prospective observational study. SUBJECTS: A spherical isotropic diffusion phantom, and a single human control volunteer. FIELD STRENGTH/SEQUENCE: 3 T (two scanners). Stejskal-Tanner spin echo sequence with b-values of 1000, 2000 s/mm ASSESSMENT: We compare the proposed correction with the prior approach using manufacturer specifications against typical diffusion pre-processing pipelines (i.e., ignoring spatial gradient nonlinearities). In phantom data, we evaluate metrics against the ground truth. In human and phantom data, we evaluate reproducibility across scans, sessions, and hardware. STATISTICAL TESTS: Wilcoxon rank-sum test between uncorrected and corrected data.
resultsIn phantom data, our correction method reduces variation in mean diffusivity across sessions over uncorrected data (p < 0.05). In human data, we show that this method can also reduce variation in mean diffusivity across scanners (p < 0.05).
conclusionOur method is relatively simple, fast, and can be applied retroactively. We advocate incorporating voxel-specific b-value and b-vector maps should be incorporated in DW-MRI harmonization preprocessing pipelines to improve quantitative accuracy of measured diffusion parameters.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.