Efficiency improvements for ion chamber calculations in high energy photon beams.

This article presents the implementation of several variance reduction techniques that dramatically improve the simulation efficiency of ion chamber dose and perturbation factor calculations. The cavity user code for the EGSnrc Monte Carlo code system is extended by photon cross-section enhancement (XCSE), an intermediate phase-space storage (IPSS) technique, and a correlated sampling (CS) scheme. XCSE increases the density of photon interaction sites inside and in the vicinity of the chamber and results-in combination with a Russian Roulette game for electrons that cannot reach the cavity volume-in an increased efficiency of up to a factor of 350 for calculating dose in a Farmer type chamber placed at 10 cm depth in a water phantom. In combination with the IPSS and CS techniques, the efficiency for the calculation of the central electrode perturbation factor Pcel can be increased by up to three orders of magnitude for a single chamber location and by nearly four orders of magnitude when considering the Pcel variation with depth or with distance from the central axis in a large field photon beam. The intermediate storage of the phase-space properties of particles entering a volume that contains many possible chamber locations leads to efficiency improvements by a factor larger than 500 when computing a profile of chamber doses in the field of a linear accelerator photon beam. All techniques are combined in a new EGSnrc user code egs_chamber. Optimum settings for the variance reduction parameters are investigated and are reported for a Farmer type ion chamber. A few example calculations illustrating the capabilities of the egs_chamber code are presented.

[1]  I. Kawrakow,et al.  Efficient photon beam dose calculations using DOSXYZnrc with BEAMnrc. , 2006, Medical physics.

[2]  I. Kawrakow Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version. , 2000, Medical physics.

[3]  Monte Carlo correction factors for a Farmer 0.6 cm3 ion chamber dose measurement in the build-up region of the 6 MV clinical beam. , 2006, Physics in medicine and biology.

[4]  I. Kawrakow,et al.  Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC , 2000, Physics in medicine and biology.

[5]  D. Rogers,et al.  Wall correction factors, Pwall, for parallel-plate ionization chambers. , 2006, Medical physics.

[6]  A. Maio,et al.  Monte Carlo simulation of a typical 60Co therapy source. , 1999, Medical physics.

[7]  I Kawrakow,et al.  CSnrc: correlated sampling Monte Carlo calculations using EGSnrc. , 2004, Medical physics.

[8]  I. Kawrakow,et al.  Evidence for using Monte Carlo calculated wall attenuation and scatter correction factors for three styles of graphite-walled ion chamber. , 2004, Physics in medicine and biology.

[9]  Off-axis chamber response in the depth of photon dose maximum. , 2005, Physics in medicine and biology.

[10]  J. Sempau,et al.  Monte Carlo simulation of electron beams from an accelerator head using PENELOPE , 2001, Physics in Medicine and Biology.

[11]  C. Ma,et al.  BEAM: a Monte Carlo code to simulate radiotherapy treatment units. , 1995, Medical physics.

[12]  D. Rogers,et al.  Wall correction factors, Pwall, for thimble ionization chambers. , 2006, Medical physics.

[13]  P. Andreo,et al.  Absorbed Dose Determination in External Beam Radiotherapy: An International Code of Practice for Dosimetry based on Standards of Absorbed Dose to Water , 2001 .

[14]  I Kawrakow,et al.  Monte Carlo study of correction factors for Spencer-Attix cavity theory at photon energies at or above 100 keV. , 2000, Medical physics.

[15]  I. Kawrakow On the effective point of measurement in megavoltage photon beams. , 2006, Medical physics.

[16]  M. Mcewen,et al.  An experimental and computational investigation of the standard temperature-pressure correction factor for ion chambers in kilovoltage x rays. , 2007, Medical physics.

[17]  M R McEwen,et al.  The effective point of measurement of ionization chambers and the build-up anomaly in MV x-ray beams. , 2008, Medical physics.

[18]  I. Kawrakow Accurate condensed history Monte Carlo simulation of electron transport. II. Application to ion chamber response simulations. , 2000, Medical physics.

[19]  I. Kawrakow,et al.  Large efficiency improvements in BEAMnrc using directional bremsstrahlung splitting. , 2004, Medical physics.

[20]  G. Hartmann,et al.  An EGSnrc Monte Carlo study of the microionization chamber for reference dosimetry of narrow irregular IMRT beamlets. , 2004, Medical physics.

[21]  D. Rogers,et al.  Monte Carlo modeling of the response of NRC's Sr90∕Y90 primary beta standard. , 2005, Medical physics.

[22]  A E Nahum,et al.  Calculation of absorbed dose ratios using correlated Monte Carlo sampling. , 1993, Medical physics.

[23]  Frank Verhaegen,et al.  Validation of Monte Carlo calculated surface doses for megavoltage photon beams. , 2005, Medical physics.

[24]  I. Kawrakow On the efficiency of photon beam treatment head simulations. , 2005, Medical physics.

[25]  R Mohan,et al.  Energy and angular distributions of photons from medical linear accelerators. , 1985, Medical physics.

[26]  Omar Chibani,et al.  On the discrepancies between Monte Carlo dose calculations and measurements for the 18 MV varian photon beam. , 2007, Medical physics.

[27]  D. Sheikh-Bagheri,et al.  Sensitivity of megavoltage photon beam Monte Carlo simulations to electron beam and other parameters. , 2002, Medical physics.

[28]  D. Rogers,et al.  AAPM's TG-51 protocol for clinical reference dosimetry of high-energy photon and electron beams. , 1999, Medical physics.

[29]  M R McEwen,et al.  Influence of ion chamber response on in-air profile measurements in megavoltage photon beams. , 2005, Medical physics.