ArticleMagnetic resonance in medicine2013
Single-shot echo-planar imaging with Nyquist ghost compensation: interleaved dual echo with acceleration (IDEA) echo-planar imaging (EPI).
Article in Magnetic resonance in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Timing Is Everything: How Subtle Timing Changes in MRI Echo Planar Imaging Can Significantly Alter Mechanical Vibrations and Sound Level.Magnetic resonance in medicine · 2026Article
- Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts.Magnetic resonance in medicine · 2025Article
- Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging.AJNR. American journal of neuroradiology · 2025Article
- Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation.bioRxiv : the preprint server for biology · 2024Article
- Dynamic field mapping and distortion correction using single-shot blip-rewound EPI and joint multi-echo reconstruction.Magnetic resonance in medicine · 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
- High-fidelity, high-spatial-resolution diffusion magnetic resonance imaging of ex vivo whole human brain at ultra-high gradient strength with structured low-rank echo-planar imaging ghost correction.NMR in biomedicine · 2023Article
- SENSE EPI reconstruction with 2D phase error correction and channel-wise noise removal.Magnetic resonance in medicine · 2022Article
- Dynamic 2D self-phase-map Nyquist ghost correction for simultaneous multi-slice echo planar imaging.Magnetic resonance in medicine · 2018Article
- Model-based iterative reconstruction for single-shot EPI at 7T.Magnetic resonance in medicine · 2017Article
- Improvement of temporal signal-to-noise ratio of GRAPPA accelerated echo planar imaging using a FLASH based calibration scan.Magnetic resonance in medicine · 2016Article
- Differential functional benefits of ultra highfield MR systems within the language network.NeuroImage · 2014Article
- Article
- Applying independent component analysis to clinical FMRI at 7 t.Frontiers in human neuroscience · 2013Article
- Comparing the Microvascular Specificity of the 3- and 7-T BOLD Response Using ICA and Susceptibility-Weighted Imaging.Frontiers in human neuroscience · 2013Article
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Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
Abstract
Echo planar imaging (EPI) is most commonly used for blood oxygen level-dependent fMRI, owing to its sensitivity and acquisition speed. A major problem with EPI is Nyquist (N/2) ghosting, most notably at high field. EPI data are acquired under an oscillating readout gradient and hence vulnerable to gradient imperfections such as eddy current delays and off-resonance effects, as these cause inconsistencies between odd and even k-space lines after time reversal. We propose a straightforward and pragmatic method herein termed "interleaved dual echo with acceleration (IDEA) EPI": two k-spaces (echoes) are acquired under the positive and negative readout lobes, respectively, by performing phase encoding blips only before alternate readout gradients. From these two k-spaces, two almost entirely ghost free images per shot can be constructed, without need for phase correction. The doubled echo train length can be compensated by parallel imaging and/or partial Fourier acquisition. The two k-spaces can either be complex averaged during reconstruction, which results in near-perfect cancellation of residual phase errors, or reconstructed into separate images. We demonstrate the efficacy of IDEA EPI and show phantom and in vivo images at both 3 T and 7 T.
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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.