Optimizing cone beam CT scatter estimation in egs_cbct for a clinical and virtual chest phantom.

@article{Thing2014OptimizingCB,
  title={Optimizing cone beam CT scatter estimation in egs\_cbct for a clinical and virtual chest phantom.},
  author={Rune Slot Thing and Ernesto Mainegra-Hing},
  journal={Medical physics},
  year={2014},
  volume={41 7},
  pages={
          071902
        }
}
PURPOSE Cone beam computed tomography (CBCT) image quality suffers from contamination from scattered photons in the projection images. Monte Carlo simulations are a powerful tool to investigate the properties of scattered photons.egs_cbct, a recent EGSnrc user code, provides the ability of performing fast scatter calculations in CBCT projection images. This paper investigates how optimization of user inputs can provide the most efficient scatter calculations. METHODS Two simulation geometries… 

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