Deep learning-based post-hoc noise reduction improves quarter-radiation-dose coronary CT angiography

Coronary CT angiography (CCTA) has a high negative predictive value for chronic coronary artery disease and is widely used as a first-line test for patients with chest pain [1]. However, due to the radiation exposure associated with CCTA, continuous efforts to minimize the radiation dose while maintaining diagnostic image quality are crucial [2,3]. Lower radiation CCTA is particularly important for patients sensitive to radiation, such as young and female patients [4,5]. Over the past 15 years, …

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