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Erratum: Principal component analysis for fast and model-free denoising of multi b-value diffusion-weighted MR images (2019 Phys. Med. Biol. 64 105015)

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Published 28 August 2019 • © 2019 Institute of Physics and Engineering in Medicine
, , Citation Oliver J Gurney-Champion et al 2019 Phys. Med. Biol. 64 179601 DOI 10.1088/1361-6560/ab318a

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This is a correction for 2019 Phys. Med. Biol. 64 105015

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Author e-mails

oliver.gurney.champion@gmail.com

Author affiliations

1 Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom

2 Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom

3 Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands

4 Targeted Therapy team, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom

5 Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands

6 Author to whom correspondence should be addressed.

Dates

  1. Accepted 12 July 2019
  2. Published

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During production an error was introduced in the article.

'The PCA-denoising MATLAB script can be found in Supplemental Digital Content 1 (stacks.iop.org/PMB/64/105015/mmedia)'.

should appear as

'The PCA-denoising MATLAB script can be found as Supplemental Digital Content 1 (stacks.iop.org/PMB/64/105015/mmedia) to this article and is available at github (https://github.com/oliverchampion/PCA_denoising.git)'.

10.1088/1361-6560/ab318a