Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study-Reference-Cited by-同舟云学术

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Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

Published:2021-02-26 Issue:11 Volume:62 Page:1645-1652
ISSN:0161-5505
Container-title:Journal of Nuclear Medicine
language:en
Short-container-title:J Nucl Med

Author:

Yang Jaewon,Shi Luyao,Wang Rui,Miller Edward J.,Sinusas Albert J.,Liu Chi,Gullberg Grant T.,Seo Youngho

Publisher

Society of Nuclear Medicine

Subject

Radiology, Nuclear Medicine and imaging

Reference29 articles.

1. Review of cardiovascular imaging in the Journal of Nuclear Cardiology in 2017. Part 2 of 2: myocardial perfusion imaging;Hage;J Nucl Cardiol,2018

2. Cardiac Dedicated Ultrafast SPECT Cameras: New Designs and Clinical Implications

3. Novel solid-state-detector dedicated cardiac camera for fast myocardial perfusion imaging: multicenter comparison with standard dual detector cameras

4. D-SPECT: new technology, old tricks;Kao;J Nucl Cardiol,2016

5. Attenuation artifact, attenuation correction, and the future of myocardial perfusion SPECT

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1. DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT;IEEE Transactions on Medical Imaging;2024-09

2. Gated SPECT-Derived Myocardial Strain Estimated From Deep-Learning Image Translation Validated From N-13 Ammonia PET;Academic Radiology;2024-08

3. Clinical Feasibility of Deep Learning–Based Attenuation Correction Models for Tl-201 Myocardial Perfusion SPECT;Clinical Nuclear Medicine;2024-02-26

4. Deep learning approach using SPECT-to-PET translation for attenuation correction in CT-less myocardial perfusion SPECT imaging;Annals of Nuclear Medicine;2023-12-28

5. Artificial Intelligence Empowered Nuclear Medicine and Molecular Imaging in Cardiology: A State-of-the-Art Review;Phenomics;2023-12

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