A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction

A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction

High-density component-induced metal artifacts in industrial computed tomography (CT) severely impair image quality and make further analysis more difficult. To suppress artifacts and improve image quality, this research suggests a practical approach that combines lightweight attention-enhanced supe...

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Bibliographic Details
Main Authors: Bingyang Wang, Zhiwei Zhang, Heng Li, Ronghai Wu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
industrial CT
metal artifact reduction
radon transform
super-resolution reconstruction
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/15/14/7819
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https://www.mdpi.com/2076-3417/15/14/7819

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