Partial Fourier reconstruction of complex MR images using complex‐valued convolutional neural networks-Reference-Cited by-同舟云学术

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Partial Fourier reconstruction of complex MR images using complex‐valued convolutional neural networks

Published:2021-10-05 Issue:2 Volume:87 Page:999-1014
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Xiao Linfang¹²,Liu Yilong¹²^ORCID,Yi Zheyuan¹²,Zhao Yujiao¹²,Xie Linshan¹²,Cao Peibei¹²,Leong Alex T. L.¹²,Wu Ed X.¹²^ORCID

Affiliation:

1. Laboratory of Biomedical Imaging and Signal Processing The University of Hong Kong Hong Kong SAR People’s Republic of China

2. Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong SAR People’s Republic of China

Funder

Research Grants Council, University Grants Committee

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29033

Reference49 articles.

1. Halving MR imaging time by conjugation: demonstration at 3.5 kG.

2. Reducing MR imaging time by one-sided reconstruction

3. Correction of spatially dependent phase shifts for partial Fourier imaging

4. A fast, iterative, partial-fourier technique capable of local phase recovery

5. Quantitative evaluation of several partial fourier reconstruction algorithms used in mri

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