Investigation of Noise Reduction in Low-dose SPECT Myocardial Perfusion Images with a Generative Adversarial Network-Reference-Cited by-同舟云学术

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Investigation of Noise Reduction in Low-dose SPECT Myocardial Perfusion Images with a Generative Adversarial Network

Published:2021-10-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Olia Narges Aghakhan¹,Kamali-Asl Alireza¹,Tabrizi Sanaz Hariri¹,Geramifar Parham²,Sheikhzadeh Peyman³,Arabi Hossein⁴,Zaidi Habib⁴

Affiliation:

1. Shahid Beheshti University,Department of Medical Radiation Engineering,Tehran,Iran

2. Shariati Hospital, Tehran University of Medical Sciences,Research Center for Nuclear Medicine,Tehran,Iran

3. Tehran University of Medical Sciences,Department of Nuclear Medicine, Imam Khomeini Hospital Complex,Tehran,Iran

4. Geneva University Hospital,Division of Nuclear Medicine & Molecular Imaging,Geneva,Switzerland

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875930.pdf?arnumber=9875930

Reference16 articles.

1. Non-local mean denoising using multiple PET reconstructions

2. Spatially guided nonlocal mean approach for denoising of PET images

3. Improvement of image quality in PET using post-reconstruction hybrid spatial-frequency domain filtering

4. Recent advances in cardiac SPECT instrumentation and imaging methods

5. Projection Space Implementation of Deep Learning–Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images;Journal of Digital Imaging;2023-03-29

2. Ultra high speed SPECT bone imaging enabled by a deep learning enhancement method: a proof of concept;EJNMMI Physics;2022-06-13

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