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Metal Artifact Reduction

3 papers with code · Medical

Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.

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Greatest papers with code

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

3 Aug 2019JunMa11/MICCAI-OpenSourcePapers

Current deep neural network based approaches to computed tomography (CT) metal artifact reduction (MAR) are supervised methods that rely on synthesized metal artifacts for training.

COMPUTED TOMOGRAPHY (CT) IMAGE-TO-IMAGE TRANSLATION MEDICAL IMAGE GENERATION METAL ARTIFACT REDUCTION

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

5 Jun 2019liaohaofu/adn

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.

COMPUTED TOMOGRAPHY (CT) IMAGE-TO-IMAGE TRANSLATION METAL ARTIFACT REDUCTION

Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning

9 Apr 2019mughanibu/DeepMAR

The subsequent complete projection data is then used with FBP to reconstruct image intended to be free of artifacts.

COMPUTED TOMOGRAPHY (CT) IMAGE RECONSTRUCTION METAL ARTIFACT REDUCTION TRANSFER LEARNING