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Tenfold your Photons

A Physically-Sound Approach to Filtering-Based Variance Reduction of Monte-Carlo-Simulated Dose Distributions
  • Philipp RoserEmail author
  • Annette Birkhold
  • Alexander Preuhs
  • Markus Kowarschik
  • Rebecca Fahrig
  • Andreas Maier
Conference paper
  • 25 Downloads
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

X-ray dose constantly gains interest in the interventional suite. With dose being generally diffcult to monitor reliably, fast computational methods are desirable. A major drawback of the gold standard based on Monte Carlo (MC) methods is its computational complexity. Besides common variance reduction techniques, filter approaches are often applied to achieve conclusive results within a fraction of time. Inspired by these methods, we propose a novel approach. We down-sample the target volume based on the fraction of mass, simulate the imaging situation, and then revert the down-sampling. To this end, the dose is weighted by the mass energy absorption, up-sampled, and distributed using a guided filter. Eventually, the weighting is inverted resulting in accurate high resolution dose distributions. The approach has the potential to considerably speed-up MC simulations since less photons and boundary checks are necessary. First experiments substantiate these assumptions. We achieve a median accuracy of 96.7% to 97.4% of the dose estimation with the proposed method and a down-sampling factor of 8 and 4, respectively. While maintaining a high accuracy, the proposed method provides for a tenfold speed-up. The overall findings suggest the conclusion that the proposed method has the potential to allow for further effciency.

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020

Authors and Affiliations

  • Philipp Roser
    • 1
    Email author
  • Annette Birkhold
    • 2
  • Alexander Preuhs
    • 1
  • Markus Kowarschik
    • 2
  • Rebecca Fahrig
    • 2
  • Andreas Maier
    • 1
    • 3
  1. 1.Pattern Recognition LabFAU Erlangen-NürnbergErlangen-NürnbergDeutschland
  2. 2.Siemens Healthcare GmbHForchheimDeutschland
  3. 3.Erlangen Graduate School in Advanced Optical Technologies (SAOT)ErlangenDeutschland

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