ArticleMagnetic resonance in medicine2021
A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra-strong gradient MRI scanners.
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 33 papers.
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33 citing papers in PubMed, 42 citations in OpenAlex.
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- Feasibility of brain intra-axonal microstructure imaging with ultrahigh B-encoding using MAGNUS ultra-high-performance gradients.Imaging neuroscience (Cambridge, Mass.) · 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
- White Matter Microstructural Changes Using Ultra-Strong Diffusion Gradient MRI in Adult-Onset Idiopathic Focal Cervical Dystonia.Neurology · 2024Article
- Macro- and micro-structural insights into primary dystonia: a UK Biobank study.Journal of neurology · 2024Article
- Eddy current-induced artifact correction in high b-value ex vivo human brain diffusion MRI with dynamic field monitoring.Magnetic resonance in medicine · 2024Article
- Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography.Network neuroscience (Cambridge, Mass.) · 2024Article
- The impact of head orientation with respect to BImaging neuroscience (Cambridge, Mass.) · 2023Article
- Novel insights into axon diameter and myelin content in late childhood and adolescence.Cerebral cortex (New York, N.Y. : 1991) · 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
- Mutation-related magnetization-transfer, not axon density, drives white matter differences in premanifest Huntington disease: Evidence from in vivo ultra-strong gradient MRI.Human brain mapping · 2022Article
- Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.NeuroImage · 2022Review
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4 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeThe analysis of diffusion data obtained under large gradient nonlinearities necessitates corrections during data reconstruction and analysis. While two such preprocessing pipelines have been proposed, no comparative studies assessing their performance exist. Furthermore, both pipelines neglect the impact of subject motion during acquisition, which, in the presence of gradient nonlinearities, induces spatio-temporal B-matrix variations. Here, spatio-temporal B-matrix tracking (STB) is proposed and its performance compared to established pipelines.
methodsDiffusion tensor MRI (DT-MRI) was performed using a 300 mT/m gradient system. Data were acquired with volunteers positioned in regions with pronounced gradient nonlinearities, and used to compare the performance of six different processing pipelines, including STB.
resultsUp to 30% errors were observed in DT-MRI parameter estimates when neglecting gradient nonlinearities. Moreover, the order in which
conclusionsUnder large gradient nonlinearities, the choice of preprocessing pipeline significantly impacts the estimated diffusion parameters. Motion-induced spatio-temporal B-matrix variations can lead to systematic bias in the parameter estimates, that can be ameliorated using the proposed STB framework.
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