Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography

In coronary computed tomography angiography (CCTA), motion artifacts due to heartbeats can obscure coronary artery diagnoses. In this study, we introduce a cycle-consistent adversarial-network-based method for motion artifact correction in CCTA. Our methodology involves extracting image patches and...

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Bibliographic Details
Main Authors: Amal Muhammad Saleem, Sunghee Jung, Hyuk-Jae Chang, Soochahn Lee
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/5/1859