Learning from synthetic data for reference‐free Nyquist ghost correction and parallel imaging reconstruction of echo planar imaging-Reference-Cited by-同舟云学术

Learning from synthetic data for reference‐free Nyquist ghost correction and parallel imaging reconstruction of echo planar imaging

Published:2022-12-05 Issue:4 Volume:50 Page:2135-2147
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Dai Lixing¹,Yang Qinqin¹,Lin Jianzhong²,Zhou Zihan³,Zhang Pujie¹,Cai Shuhui¹,Chen Zhong¹,Wu Zhigang⁴,Kang Taishan²,Cai Congbo¹

Affiliation:

1. Department of Electronic Science Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Xiamen University Xiamen Fujian China

2. Department of Radiology Zhongshan Hospital of Xiamen University School of Medicine Xiamen University Xiamen Fujian China

3. Center for Brain Imaging Science and Technology College of Biomedical Engineering and Instrumental Science Zhejiang University Hangzhou Zhejiang China

4. MSC Clinical & Technical Solutions Philips Healthcare Shenzhen Guangdong China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16107

Reference44 articles.

1. Ghost artifact reduction for echo planar imaging using image phase correction

2. Artifacts and pitfalls in diffusion MRI

3. Image reconstruction for echo planar imaging with nonequidistantk-space sampling

4. Artifact reduction in EPI with phase-encoded reference scan

5. 5581184 Method for phase correction of nuclear magnetic resonance signals

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