Compressive manifold learning: Estimating one-dimensional respiratory motion directly from undersampled k-space data-Reference-Cited by-同舟云学术

Compressive manifold learning: Estimating one-dimensional respiratory motion directly from undersampled k-space data

Published:2013-11-11 Issue:4 Volume:72 Page:1130-1140
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Usman Muhammad¹,Vaillant Ghislain¹,Atkinson David²,Schaeffter Tobias¹,Prieto Claudia¹³

Affiliation:

1. King's College London, Division of Imaging Sciences and Biomedical Engineering, British Heart Foundation (BHF) Centre of Excellence, Medical Engineering Centre of Research Excellence, London, United Kingdom

2. University College London, Centre for Medical Imaging, London, United Kingdom

3. Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile

Funder

EPSRC

National Institute for Health Research Biomedical Research Centres at University College London Hospitals, Guy's and St Thomas' National Health Service Foundation Trust, King's College London

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.25010/fullpdf

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4. Magnetic resonance imaging with respiratory gating: techniques and advantages;Ehman;AJR Am J Roentgenol,1984

5. Motion compensated projection reconstruction;Schaffter;Magn Res Med,1999

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