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Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images

Campbell-Washburn, AE; Atkinson, D; Nagy, Z; Chan, RW; Josephs, O; Lythgoe, MF; Ordidge, RJ; (2016) Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images. Magnetic Resonance in Medicine , 75 (6) pp. 2517-2525. 10.1002/mrm.25851. Green open access

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Abstract

Brief bursts of RF noise during MR data acquisition ("k-space spikes") cause disruptive image artifacts, manifesting as stripes overlaid on the image. RF noise is often related to hardware problems, including vibrations during gradient-heavy sequences, such as diffusion-weighted imaging. In this study, we present an application of the Robust Principal Component Analysis (RPCA) algorithm to remove spike noise from k-space.

Type: Article
Title: Using the robust principal component analysis algorithm to remove RF spike artifacts from MR images
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mrm.25851
Publisher version: http://dx.doi.org/10.1002/mrm.25851
Language: English
Additional information: © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Robust principal component analysis, spike noise, stripe artifact
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/1472507
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