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Abstract #2443

A Semi-Automatic K-Space Despiking Algorithm for the Removal of Striping Artefacts in MR Images

Adrienne E. Campbell1, 2, Oliver Josephs3, Mark F. Lythgoe1, Roger J. Ordidge4, Dave L. Thomas5

1Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, London, United Kingdom; 2Department of Medical Physics and Bioengineering, University College London, London, United Kingdom; 3University College London and Birkbeck College, London, United Kingdom; 4Centre for Neuroscience, University of Melbourne, Melbourne, Australia; 5Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom

Striping artefacts are a common in MR images and are caused by RF noise spikes in k-space. We present a semi-automatic post-processing algorithm for the removal of RF spikes from k-space, while preserving quantitative information. The algorithm detects spikes by taking advantage of their brief duration and random appearance. Then, removal of this anomalous data and replacement with suitable substitute data takes place, while protecting the centre of k-space. This algorithm was found to effectively remove RF spikes, improving image quality and retaining quantitative information.

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