DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT-Reference-Cited by-同舟云学术

DuDoSS: Deep‐learning‐based dual‐domain sinogram synthesis from sparsely sampled projections of cardiac SPECT

Published:2022-09-28 Issue:1 Volume:50 Page:89-103
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Chen Xiongchao¹,Zhou Bo¹,Xie Huidong¹,Miao Tianshun¹²,Liu Hui²,Holler Wolfgang³,Lin MingDe²⁴,Miller Edward J.²⁵,Carson Richard E.¹²,Sinusas Albert J.¹²⁵,Liu Chi¹²

Affiliation:

1. Department of Biomedical Engineering Yale University New Haven Connecticut USA

2. Department of Radiology and Biomedical Imaging Yale University New Haven Connecticut USA

3. Visage Imaging GmbH Berlin Germany

4. Visage Imaging, Inc. San Diego California USA

5. Department of Internal Medicine (Cardiology) Yale University School of Medicine New Haven Connecticut USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15958

Reference57 articles.

1. Comparison of Coronary CT Angiography, SPECT, PET, and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve

2. Stress/Rest Myocardial Perfusion Abnormalities by Gated SPECT: Still the Best Predictor of Cardiac Events in Stable Ischemic Heart Disease

3. Prognostic study of risk stratification among Japanese patients with ischemic heart disease using gated myocardial perfusion SPECT: J-ACCESS study

4. ‘I thought it was just an x-ray’

5. A New Instrument to Measure Patient Satisfaction with Mammography

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