Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography Angiography

This study evaluated the feasibility of deep-learning-based image reconstruction (DLIR) on coronary computed tomography angiography (CCTA). By using a 20 cm water phantom, the noise reduction ratio and noise power spectrum were evaluated according to the different reconstruction methods. Then 46 pat...

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Bibliographic Details
Main Authors: Seul Ah Koo, Yunsub Jung, Kyoung A Um, Tae Hoon Kim, Ji Young Kim, Chul Hwan Park
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/12/10/3501