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

Cited by 6 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. CAR and CSTR Cardiac Computed Tomography (CT) Practice Guidelines: Part 1 Coronary CT Angiography (CCTA);Canadian Association of Radiologists Journal;2024-03-14

2. Enhanced in-stent luminal visualization and restenosis diagnosis in coronary computed tomography angiography via coronary stent decomposition algorithm from dual-energy image;Computers in Biology and Medicine;2024-03

3. A physics-informed deep learning framework for modeling of coronary in-stent restenosis;Biomechanics and Modeling in Mechanobiology;2024-01-18

4. Improving Visualization of In-stent Lumen Using Prototype Photon-counting Detector Computed Tomography with High-resolution Plaque Kernel;Journal of Medical Physics;2024-01

5. Editor's Notebook: January 2023;American Journal of Roentgenology;2023-01