Validation of GPU-accelerated superposition-convolution dose computations for the Small Animal Radiation Research Platform

Nathan Cho, Panagiotis Tsiamas, Esteban Velarde, Erik Tryggestad, Robert Jacques, Ross Berbeco, Todd McNutt, Peter Kazanzides, John Wong

Research output: Contribution to journalArticle

Abstract

Purpose: The Small Animal Radiation Research Platform (SARRP) has been developed for conformal microirradiation with on-board cone beam CT (CBCT) guidance. The graphics processing unit (GPU)-accelerated Superposition-Convolution (SC) method for dose computation has been integrated into the treatment planning system (TPS) for SARRP. This paper describes the validation of the SC method for the kilovoltage energy by comparing with EBT2 film measurements and Monte Carlo (MC) simulations. Methods: MC data were simulated by EGSnrc code with 3 × 108-1.5 × 109 histories, while 21 photon energy bins were used to model the 220 kVp x-rays in the SC method. Various types of phantoms including plastic water, cork, graphite, and aluminum were used to encompass the range of densities of mouse organs. For the comparison, percentage depth dose (PDD) of SC, MC, and film measurements were analyzed. Cross beam (x,y) dosimetric profiles of SC and film measurements are also presented. Correction factors (CFz) to convert SC to MC dose-to-medium are derived from the SC and MC simulations in homogeneous phantoms of aluminum and graphite to improve the estimation. Results: The SC method produces dose values that are within 5% of film measurements and MC simulations in the flat regions of the profile. The dose is less accurate at the edges, due to factors such as geometric uncertainties of film placement and difference in dose calculation grids. Conclusion: The GPU-accelerated Superposition-Convolution dose computation method was successfully validated with EBT2 film measurements and MC calculations. The SC method offers much faster computation speed than MC and provides calculations of both dose-to-water in medium and dose-to-medium in medium.

Original languageEnglish (US)
JournalMedical Physics
DOIs
StateAccepted/In press - Jan 1 2018

Fingerprint

Radiation
Graphite
Aluminum
Monte Carlo Method
Water
Photons
Plastics
Uncertainty
X-Rays

Keywords

  • Dosimetric validation
  • Small animal radiotherapy
  • Superposition-convolution

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

Validation of GPU-accelerated superposition-convolution dose computations for the Small Animal Radiation Research Platform. / Cho, Nathan; Tsiamas, Panagiotis; Velarde, Esteban; Tryggestad, Erik; Jacques, Robert; Berbeco, Ross; McNutt, Todd; Kazanzides, Peter; Wong, John.

In: Medical Physics, 01.01.2018.

Research output: Contribution to journalArticle

Cho, Nathan ; Tsiamas, Panagiotis ; Velarde, Esteban ; Tryggestad, Erik ; Jacques, Robert ; Berbeco, Ross ; McNutt, Todd ; Kazanzides, Peter ; Wong, John. / Validation of GPU-accelerated superposition-convolution dose computations for the Small Animal Radiation Research Platform. In: Medical Physics. 2018.
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