Sinogram interpolation for sparse-view micro-CT with deep learning neural network

@inproceedings{Dong2019SinogramIF,
  title={Sinogram interpolation for sparse-view micro-CT with deep learning neural network},
  author={Xu Dong and Swapnil Vekhande and Guohua Cao},
  booktitle={Medical Imaging},
  year={2019}
}
In sparse-view Computed Tomography (CT), only a small number of projection images are taken around the object, and sinogram interpolation method has a significant impact on final image quality. When the amount of sparsity - the amount of missing views in sinogram data – is not high, conventional interpolation methods have yielded good results. When the amount of sparsity is high, more advanced sinogram interpolation methods are needed. Recently, several deep learning (DL) based sinogram… 

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