Retrospective correction of motion‐affected MR images using deep learning frameworks-Reference-Cited by-同舟云学术

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Retrospective correction of motion‐affected MR images using deep learning frameworks

Published:2019-05-13 Issue:4 Volume:82 Page:1527-1540
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Küstner Thomas¹²³^ORCID,Armanious Karim¹²,Yang Jiahuan¹,Yang Bin¹,Schick Fritz²,Gatidis Sergios²

Affiliation:

1. Department for Signal Processing and System Theory University of Stuttgart Stuttgart Germany

2. Diagnostic and Interventional Radiology University Hospital Tuebingen Tuebingen Germany

3. School of Biomedical Engineering & Imaging Sciences King's College London, St. Thomas' Hospital London United Kingdom

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27783

Reference41 articles.

1. Generalized autocalibrating partially parallel acquisitions (GRAPPA)

2. Sparse MRI: The application of compressed sensing for rapid MR imaging

3. Whole-heart coronary MR angiography with 2D self-navigated image reconstruction

4. Properties of a 2D fat navigator for prospective image domain correction of nodding motion in brain MRI

5. Nonrigid motion correction in 3D using autofocusing withlocalized linear translations

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