Metal Artifact Reduction
12 papers with code • 0 benchmarks • 0 datasets
Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.
Benchmarks
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Latest papers
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
liaohaofu/adn
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Extensive experiments show that our method significantly outperforms the existing unsupervised models for image-to-image translation problems, and achieves comparable performance to existing supervised models on a synthesized dataset.
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning
The subsequent complete projection data is then used with FBP to reconstruct image intended to be free of artifacts.
