Gibbs‐ringing artifact removal based on local subvoxel‐shifts

By Elias Kellner, Bibek Dhital, Marco Reisert. Magnetic Resonance in Medicine, 2015

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To develop a fast and stable method for correcting the gibbs‐ringing artifact.

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Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging (2018, neutral): “In dMRI, a Gibbs’ ringing removal step (Kellner et al., 2015) is performed before passing the diffusion data into either of four tools subsequently used to estimate a whole-brain tractogram (for a list of fiber-tracking methods implemented in Lead-DBS, see table 4).”
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI (2019, background): “…et al., 2012; Fieremans et al., 2011; Kaden et al., 2016; Novikov et al., 2018a, 2018b, 2019; Alexander et al., 2019; Lampinen et al., 2017, 2019; Kroenke et al., 2004; Assaf and Basser, 2005; Sotiropoulos et al., 2012; Ferizi et al., 2015; Jelescu et al., 2016), this microstructure model…”
Denoising of diffusion MRI using random matrix theory (2016, methodology): “Other examples of targeted image processing tools are the Gibbs correction framework of Kellner et al. (2015) or FSL’s TOPUP and EDDY for EPI and eddy current distortion corrections, respectively (Smith et al., 2004; Sotiropoulos et al., 2013; Glasser et al., 2013).”
Decomposing the role of alpha oscillations during brain maturation (2020, methodology): “, 2016) followed by correction for Gibbs artefacts (Kellner et al., 2016).”