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

Author:

Campbell-Washburn Adrienne E.12,Atkinson David3,Nagy Zoltan45,Chan Rachel W.3,Josephs Oliver46,Lythgoe Mark F.1,Ordidge Roger J.7,Thomas David L.8

Affiliation:

1. Centre for Advanced Biomedical Imaging, University College London; London United Kingdom

2. Division of Intramural Research; Cardiovascular and Pulmonary Branch; National Heart, Lung, and Blood Institute, National Institutes of Health; Bethesda Maryland USA

3. Centre for Medical Imaging, University College London; United Kingdom

4. Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London; London United Kingdom

5. Laboratory for Social and Neural Systems Research (SNS Lab); Department of Economics; University of Zurich; Zurich Switzerland

6. Birkbeck-UCL Centre for Neuroimaging, Birkbeck College; London United Kingdom

7. Department of Anatomy and Neuroscience; University of Melbourne; Melbourne Australia

8. Department of Brain Repair and Rehabilitation; UCL Institute of Neurology, University College London; London United Kingdom

Funder

Wellcome Trust

British Heart Foundation

Engineering and Physical Sciences Research Council

National Institute for Health Research University College London Hospitals Biomedical Research Centre

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Reference18 articles.

1. Robust correction of spike noise: application to diffusion tensor imaging;Chavez;Magn Reson Med,2009

2. SNORE: spike noise removal and detection;Foo;IEEE Trans Med Imaging,1994

3. Elimination of k-space spikes in fMRI data;Zhang;Magn Reson Imaging,2001

4. Correction of MR kappa-space data corrupted by spike noise;Kao;IEEE Trans Med Imaging,2000

5. Campbell AE Josephs O Lythgoe MF Ordidge RJ Thomas DL. 2012

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