Corpus ID: 204509240

Extreme Few-view CT Reconstruction using Deep Inference

@article{Kim2019ExtremeFC,
  title={Extreme Few-view CT Reconstruction using Deep Inference},
  author={Hyojin Kim and Rushil Anirudh and K. Aditya Mohan and Kyle Champley},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.05375}
}
Reconstruction of few-view x-ray Computed Tomography (CT) data is a highly ill-posed problem. It is often used in applications that require low radiation dose in clinical CT, rapid industrial scanning, or fixed-gantry CT. Existing analytic or iterative algorithms generally produce poorly reconstructed images, severely deteriorated by artifacts and noise, especially when the number of x-ray projections is considerably low. This paper presents a deep network-driven approach to address extreme few… Expand
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