Image quality of automatic coronary CT angiography reconstruction for patients with HR ≥ 75 bpm using an AI-assisted 16-cm z-coverage CT scanner

Image quality of automatic coronary CT angiography reconstruction for patients with HR ≥ 75 bpm using an AI-assisted 16-cm z-coverage CT scanner

Abstract Background Coronary CT angiography (CCTA) is a complicated CT exam in comparison to other CT protocols. Exam success highly depends on image assessment of experienced radiologist and the procedure is often time-consuming. This study aims to evaluate feasibility of automatic CCTA reconstruct...

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Bibliographic Details
Main Authors: Cheng Yan, Guofeng Zhou, Xue Yang, Xiuliang Lu, Mengsu Zeng, Min Ji
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Imaging
Subjects:
Computed tomography angiography
CT protocol
Artificial intelligence
Artifacts
Tomography
X-ray computed
Online Access:https://doi.org/10.1186/s12880-021-00559-7

Internet

https://doi.org/10.1186/s12880-021-00559-7

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