Noise reduction in low-dose CT with stacked sparse denoising autoencoders

@article{Ma2016NoiseRI,
  title={Noise reduction in low-dose CT with stacked sparse denoising autoencoders},
  author={Zongqing Ma and Yi Zhang and Weihua Zhang and Yan Wang and Feng Lin and Kun He and Xiaohua Li and Yi-Fei Pu and Jiliu Zhou},
  journal={2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)},
  year={2016},
  pages={1-2}
}
Many approaches have been proposed to improve the quality of low-dose CT images from noisy projections. These approaches can be categorized into three groups: Sinogram filtering approaches, iterative reconstruction approaches and post-reconstruction restoration approaches. Sinogram filtering approaches directly smooth the raw data before filtered back-projection (FBP) is applied. Iterative reconstruction approaches optimize a prior-regularized objective function by iterative ways. Despite the… CONTINUE READING