• Corpus ID: 118929554

Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction

@article{Park2017MachinelearningbasedND,
  title={Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction},
  author={Hyung Suk Park and Sung Min Lee and Hwa Pyung Kim and Jin Keun Seo},
  journal={arXiv: Medical Physics},
  year={2017}
}
Computed tomography (CT) images containing metallic objects commonly show severe streaking and shadow artifacts. Metal artifacts are caused by nonlinear beam-hardening effects combined with other factors such as scatter and Poisson noise. In this paper, we propose an implant-specific method that extracts beam-hardening artifacts from CT images without affecting the background image. We found that in cases where metal is inserted in the water (or tissue), the generated beam-hardening artifacts… 

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