Coronary Artery Stent Evaluation by CTA: Impact of Deep Learning Reconstruction and Subtraction Technique-Reference-Cited by-同舟云学术

Coronary Artery Stent Evaluation by CTA: Impact of Deep Learning Reconstruction and Subtraction Technique

Published:2023-01 Issue:1 Volume:220 Page:63-72
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Xu Cheng¹,Yi Yan¹,Xu Min²,Yan Jing²,Guo Yu-Bo¹,Wang Jian²,Wang Yun¹,Li Yu-Mei¹,Jin Zheng-Yu¹,Wang Yi-Ning¹

Affiliation:

1. Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing 100730, China.

2. Canon Medical Systems, Beijing, China.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.22.27983

Reference22 articles.

1. In-Stent Restenosis in the Drug-Eluting Stent Era

2. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography

3. Coronary CT angiography (CCTA) using third-generation dual-source CT for ruling out in-stent restenosis

4. CT evaluation of coronary artery stents with iterative image reconstruction: improvements in image quality and potential for radiation dose reduction

5. Knowledge-based iterative reconstructions for imaging of coronary artery stents: first in-vitro experience and comparison of different radiation dose levels and kernel settings

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