Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction-Reference-Cited by-同舟云学术

Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction

Published:2022 Issue:11 Volume:23 Page:1044
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Otgonbaatar Chuluunbaatar¹^ORCID,Ryu Jae-Kyun²^ORCID,Shin Jaemin³^ORCID,Woo Ji Young⁴^ORCID,Seo Jung Wook⁵^ORCID,Shim Hackjoon²⁶^ORCID,Hwang Dae Hyun³⁴^ORCID

Affiliation:

1. Department of Radiology, College of Medicine, Seoul National University, Seoul, Korea.

2. Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Korea.

3. Department of Radiology, Inje University Seoul Paik Hospital, Seoul, Korea.

4. Department of Radiology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.

5. Department of Radiology, Inje University Ilsan Paik Hospital, Goyang, Korea.

6. ConnectAI Research Center, Yonsei University College of Medicine, Seoul, Korea.

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2022.0127

Reference16 articles.

1. The role of advanced reconstruction algorithms in cardiac CT

2. Multimodality Imaging in the Context of Transcatheter Mitral Valve Replacement

3. Cardiac Computed Tomography and Magnetic Resonance Imaging in the Evaluation of Mitral and Tricuspid Valve Disease

4. 3-Dimensional Aortic Annular Assessment by Multidetector Computed Tomography Predicts Moderate or Severe Paravalvular Regurgitation After Transcatheter Aortic Valve Replacement

5. Aortic annulus sizing in bicuspid and tricuspid aortic valves using CT in patients with surgical aortic valve replacement

Cited by 22 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. Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology;La radiologia medica;2024-09-03

2. Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research;PLOS ONE;2024-08-26

3. Revolutionizing Cardiac Imaging: A Scoping Review of Artificial Intelligence in Echocardiography, CTA, and Cardiac MRI;Journal of Imaging;2024-08-08

4. Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection;Clinical Radiology;2024-07

5. A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms;British Journal of Radiology;2024-06-25