Regularization of nonlinear decomposition of spectral x‐ray projection images

@article{Ducros2017RegularizationON,
  title={Regularization of nonlinear decomposition of spectral x‐ray projection images},
  author={Nicolas Ducros and Juan Felipe Perez-Juste Abascal and Bruno Sixou and Simon Rit and Françoise Peyrin},
  journal={Medical Physics},
  year={2017},
  volume={44},
  pages={e174–e187}
}
  • Nicolas Ducros, Juan Felipe Perez-Juste Abascal, +2 authors Françoise Peyrin
  • Published in Medical physics 2017
  • Mathematics, Medicine
  • Purpose Exploiting the x‐ray measurements obtained in different energy bins, spectral computed tomography (CT) has the ability to recover the 3‐D description of a patient in a material basis. This may be achieved solving two subproblems, namely the material decomposition and the tomographic reconstruction problems. In this work, we address the material decomposition of spectral x‐ray projection images, which is a nonlinear ill‐posed problem. Methods Our main contribution is to introduce a… CONTINUE READING

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