Article

CT Metal Artifact Reduction based on Virtual Generated Artifacts Using Modified pix2pix

2020-10-28

Abstract excerpt

<h4>Background: </h4> Metal artifacts introduce challenges in image-guided diagnosis or accurate dose calculations. This study aims to reduce metal artifacts from the spinal brace by using virtual generated artifacts through convolutional neural networks and to compare the performance of this approach with two other methods, namely, linear interpolation metal artifact reduction (LIMAR) and normalized metal artifac...

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Literature Corpus work: 5c74ef86-2e32-57f9-9ed9-914a55904239
DOI: 10.21203/rs.3.rs-96694/v1

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