Feasibility Study of Triple-low CCTA for Coronary Artery Disease Screening Combining Contrast Enhancement Boost and Deep Learning Reconstruction

Feasibility Study of Triple-low CCTA for Coronary Artery Disease Screening Combining Contrast Enhancement Boost and Deep Learning Reconstruction

Background: The aim of this study was to compare the image quality of coronary computed tomography angiography (CCTA) images obtained using contrast enhancement boost (CE-boost) technology combined with deep learning reconstruction technology at a low dose and low contrast agent f...

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Bibliographic Details
Main Authors:	Zhihua Wu, Min Chen, Yingwen Wei, Chen Shen, Wen Han, Rulin Xu, Zhenyuan Zhou, Jiexiong Xu
Format:	Article
Language:	English
Published:	IMR Press 2025-06-01
Series:	Reviews in Cardiovascular Medicine
Subjects:	ce-boost deep learning reconstruction coronary artery disease coronary cta low radiation dose
Online Access:	https://www.imrpress.com/journal/RCM/26/6/10.31083/RCM31334
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