Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography.

Eun-Ju Kang,Hyoung Suk Park,Kiwan Jeon,Ji Won Lee,Jae-Kwang Lim

Journal of computer assisted tomography（2022）

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摘要

Deep learning-based artifact correction significantly improved the image quality of coronal reformation chest CT by reducing image noise and artifacts.

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关键词

chest,tomography x-ray,image reconstruction,deep learning,artificial intelligence

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