ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

3 Aug 2019 Haofu Liao Wei-An Lin S. Kevin Zhou Jiebo Luo

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. However, as synthesized data may not accurately simulate the underlying physical mechanisms of CT imaging, the supervised methods often generalize poorly to clinical applications... (read more)

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