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GPU Monte Carlo scatter calculations for Cone Beam Computed Tomography

Jonas Adler
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA
KTH, 2014

@article{adler2014gpu,

   title={GPU Monte Carlo scatter calculations for Cone Beam Computed Tomography},

   author={Adler, Jonas},

   year={2014}

}

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A GPU Monte Carlo code for x-ray photon transport has been implemented and extensively tested. The code is intended for scatter compensation of cone beam computed tomography images. The code was tested to agree with other well known codes within 5% for a set of simple scenarios. The scatter compensation was also tested using an artificial head phantom. The errors in the reconstructed Hounsfield values were reduced by approximately 70%. Several variance reduction methods have been tested, although most were found infeasible on GPUs. The code is nonetheless fast, and can simulate approximately 3×10^9 photons per minute on a NVIDIA Quadro 4000 graphics card. With the use of appropriate filtering methods, the code can be used to calculate patient specific scatter distributions for a full CBCT scan in approximately one minute, allowing scatter reduction in clinical applications.
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