ArticleMagnetic resonance in medicine2019
Evaluating corrections for Eddy-currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Optimized Detection of Left Ventricular Hyperpolarized [1-Magnetic resonance in medicine · 2026Article
- Exploiting four-way phase-encoding benefits for robust detection and correction of EPI artifacts: Application to residual ghosts in diffusion MRI.Magnetic resonance imaging · 2025Article
- Evaluating Reproducibility of the ADC and Distortion in Diffusion-weighted Imaging (DWI) with Reverse Encoding Distortion Correction (RDC).Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Processing, evaluating, and understanding FMRI data with afni_proc.py.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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- Comparison of distortion correction preprocessing pipelines for DTI in the upper limb.Magnetic resonance in medicine · 2024Article
- The Influence of Nonaerated Paranasal Sinuses on DTI Parameters of the Brain in 6- to 9-Year-Old Children.AJNR. American journal of neuroradiology · 2023Article
- Distortion correction of functional MRI without reverse phase encoding scans or field maps.Magnetic resonance imaging · 2023Article
- Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI.Magnetic resonance in medicine · 2023Article
- Deep learning phase error correction for cerebrovascular 4D flow MRI.Scientific reports · 2023Article
- Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.IEEE transactions on medical imaging · 2022Article
- Optimization of magnetization transfer contrast for EPI FLAIR brain imaging.Magnetic resonance in medicine · 2022Article
- What's new and what's next in diffusion MRI preprocessing.NeuroImage · 2022Review
- Quantitative effects of off-resonance related distortion on brain mechanical property estimation with magnetic resonance elastography.NMR in biomedicine · 2022Article
- The impact of susceptibility correction on diffusion metrics in adolescents.Pediatric radiology · 2021Article
- Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach.Sensors (Basel, Switzerland) · 2021Article
- Article
- Gradient waveform design for tensor-valued encoding in diffusion MRI.Journal of neuroscience methods · 2021Review
- White matter microstructure mediates the association between prenatal exposure to phthalates and behavior problems in preschool children.Environmental research · 2020Article
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4 authors.
Funding
Abstract
purposeTo propose a methodology for assessment of algorithms that correct distortions due to motion, eddy-currents, and echo planar imaging in diffusion weighted images (DWIs).
methodsThe proposed method evaluates correction performance by measuring variability across datasets of the same object acquired with images having distortions in different directions, thereby overcoming the unavailability of ground-truth, undistorted DWIs. A comprehensive diffusion MRI dataset, collected using a suitable experimental design, is made available to the scientific community, consisting of three DWI shells (Bmax = 5000 s/mm
resultsThe median variability of the original distorted data was 123% higher for DWIs, 100-168% higher for tensor-derived metrics and 28-111% higher for MAPMRI metrics, than in the corrected versions. EPI distortions induced substantial variability, nearly comparable to the contribution of eddy-current distortions.
conclusionsThe dataset and the evaluation strategy proposed herein enable quantitative comparison of different methods for correction of distortions due to motion, eddy-currents, and other EPI distortions, and can be useful in benchmarking newly developed algorithms.
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