Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo

By T. Reese, O. Heid, R. Weisskoff, Van J. Wedeen. Magnetic Resonance in Medicine, 2003

1,303 citations recorded by the source corpus.

Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/a0a54734c749107c97a31da27a88954c052d01de

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Citations in the corpus

Evidence for Segregated and Integrative Connectivity Patterns in the Human Basal Ganglia (2008, methodology): “Diffusion weighted imaging (DWI) was performed with an echo planar sequence comprising a double spin-echo module to reduce the effect of eddy currents (Reese et al., 2003).”
NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, methodology): “The diffusion images were acquired by using a pulsegradient spin-echo diffusion EPI sequence with twice-refocused balanced echo (Reese et al., 2003).”
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement (2017, methodology): “This may be su ﬃ cient for fetal imaging where there are no air-ﬁ lled sinuses or ear canals that disrupt the ﬁ eld, and if an eddy current-nulled sequence is used to minimise eddy currents (Reese et al., 2003).”
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project (2013, background): “(Reese et al., 2003) Unfortunately, concomitant terms make this approach impossible (see next paragraph).”
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (2003, background): “T ri [ 17 ] where V is the set of all voxels whose principal fiber direction is (, ) and N is the number of subvoxels.”
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (2007, methodology): “Data set D was acquired from a healthy volunteer on a 1.5T Siemens Avanto system, using an eddy-current-nulled twicerefocused EPI sequence (Reese et al., 2003) (b-value=1000 s/mm2, TE=89 ms, 20 DW directions, in-plane resolution 2.5×2.5 mm2, 2.5 mm slice thickness, 45 contiguous axial slices, 2…”
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison (2012, neutral): “, 2010), twice-refocused spin echo sequences (Clayden et al., 2009; Reese et al., 2003), or double wave vector sequences (Koch and Finsterbusch, 2008; Mitra, 1995; Shemesh et al.”
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, methodology): “In a spin echo implementation, if two refocusing RF pulses are used, for example to mitigate the eddy current effects due to diffusion encoding gradients (Feinberg and Jakab, 1990; Reese et al., 2003), time-shifted multi-banded refocusing RF pulses can simply be used in place of single-banded pulses”
Diffusion tensor imaging of the brain (2007, positive): “To a certain degree, the eddy currents may be reduced using bipolar diffusion-weighting schemes.(16,17)”
Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction (2018, methodology): “The eddy current-parameters (left panel) re ﬂ ect both hardware and sequence factors, such as for example Stejskal-Tanner versus twice-refocused diffusion encoding (Reese et al., 2003), that should be accounted for when designing a dMRI experiment.”
Blipped-Controlled Aliasing in Parallel Imaging (blipped-CAIPI) for simultaneous multi-slice EPI with reduced g-factor penalty (2011, methodology): “The SE-EPI diffusion-weighted imaging was performed with a twice-refocused sequence (21,22) using either conventional single-slice imaging or a 3 slice-accelerated simultaneous multislice acquisition.”
Twenty‐five pitfalls in the analysis of diffusion MRI data (2010, background): “[9] trivially becomes: P 1⁄4 B (1)L PITFALL 7: HETEROSCEDASTICITY IN THE FITTED DATA WHEN USING LINEAR REGRESSION The first pitfall of analysis is the assumption that the noise in the fitted data is i.”
Imaging brain microstructure with diffusion MRI: practicality and applications (2019, background): “For example, the level of eddy currents can be reduced by implementing SDE in a double spin-echo sequence or with asymmetric gradients [71, 72].”
Improving diffusion MRI using simultaneous multi-slice echo planar imaging (2012, methodology): “=3 twice-refocused spin echo sequence (Feinberg and Jakab, 1990; Reese et al., 2003) that together provided good slice selection profiles while staying under the SAR limit.”