ArticleMagnetic resonance in medicine2021
Mapping gradient nonlinearity and miscalibration using diffusion-weighted MR images of a uniform isotropic phantom.
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Restriction spectrum imaging reveals brain microstructural correlates of obesity risk in early childhood.Scientific reports · 2026Article
- Brain Microstructure and Obesity Risk in Early Childhood: Insights from Restriction Spectrum Imaging.bioRxiv : the preprint server for biology · 2025Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- Structural Development of Speech Networks in Young Children: A Cross-Sectional Study.Neurobiology of language (Cambridge, Mass.) · 2025Article
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- 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
- 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.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
- Article
- Mapping the impact of nonlinear gradient fields with noise on diffusion MRI.Magnetic resonance imaging · 2023Article
- Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom.Tomography (Ann Arbor, Mich.) · 2023Article
- Diffusion-Weighted MRI Monitoring of Embolic Brain Stroke for COVID-19 Patients.Advanced biomedical research · 2023Article
- Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias.Tomography (Ann Arbor, Mich.) · 2022Article
- Mapping gradient nonlinearity and miscalibration using diffusion-weighted MR images of a uniform isotropic phantom.Magnetic resonance in medicine · 2021Article
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5 authors.
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Abstract
purposeTo use diffusion measurements to map the spatial dependence of the magnetic field produced by the gradient coils of an MRI scanner with sufficient accuracy to correct errors in quantitative diffusion MRI (DMRI) caused by gradient nonlinearity and gradient amplifier miscalibration. THEORY AND
methodsThe field produced by the gradient coils is expanded in regular solid harmonics. The expansion coefficients are found by fitting a model to a minimum set of diffusion-weighted images of an isotropic diffusion phantom. The accuracy of the resulting gradient coil field maps is evaluated by using them to compute corrected b-matrices that are then used to process a multi-shell diffusion tensor imaging (DTI) dataset with 32 diffusion directions per shell.
resultsThe method substantially reduces both the spatial inhomogeneity of the computed mean diffusivities (MD) and the computed values of the fractional anisotropy (FA), as well as virtually eliminating any artifactual directional bias in the tensor field secondary to gradient nonlinearity. When a small scaling miscalibration was purposely introduced in the x, y, and z, the method accurately detected the amount of miscalibration on each gradient axis.
conclusionThe method presented detects and corrects the effects of gradient nonlinearity and gradient gain miscalibration using a simple isotropic diffusion phantom. The correction would improve the accuracy of DMRI measurements in the brain and other organs for both DTI and higher order diffusion analysis. In particular, it would allow calibration of MRI systems, improving data harmony in multicenter studies.
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