Abstract #3351

Giving up the ghost: a systematic comparison of 2D phase correction algorithms in multi-shell high angular diffusion weighted imaging

Elizabeth Powell^1,2, Torben Schneider³, Marco Battiston², Matthew Clemence³, Ahmed Toosy², Jonathan Clayden⁴, and Claudia A.M. Wheeler-Kingshott^2,5,6

¹Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ²Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, ³Philips Healthcare UK, Guildford, Surrey, United Kingdom, ⁴Developmental Imaging and Biophysics Section, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, ⁵Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, ⁶Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy

The echo planar imaging (EPI) Nyquist ghost often requires complex 2D phase error corrections in order to be robustly removed. Several methods exist but have not yet been systematically evaluated in high b-value diffusion-weighted (DW) EPI, where lower signal-to-noise ratios may affect the phase error estimation. We explore here the influence of different 2D phase-error corrected reconstruction methods on quantitative parameters derived from DW-EPI, and demonstrate that errors in parameter estimations relating to the Nyquist ghost can persist even after 2D phase-error correction.

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