An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method

An accurate and fast radiation dose calculation is essential for successful radiation radiotherapy. The aim of this study was to implement a new graphic processing unit (GPU) based radiation therapy treatment planning for accurate and fast dose calculation in radiotherapy centers. A program was written for parallel running based on GPU. The code validation was performed by EGSnrc/DOSXYZnrc. Moreover, a semi-automatic, rotary, asymmetric phantom was designed and produced using a bone, the lung, and the soft tissue equivalent materials. All measurements were performed using a Mapcheck dosimeter. The accuracy of the code was validated using the experimental data, which was obtained from the anthropomorphic phantom as the gold standard. The findings showed that, compared with those of DOSXYZnrc in the virtual phantom and for most of the voxels (>95%), <3% dose-difference or 3 mm distance-to-agreement (DTA) was found. Moreover, considering the anthropomorphic phantom, compared to the Mapcheck dose measurements, <5% dose-difference or 5 mm DTA was observed. Fast calculation speed and high accuracy of GPU-based Monte Carlo method in dose calculation may be useful in routine radiation therapy centers as the core and main component of a treatment planning verification system.

[1]  T Yamamoto,et al.  An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning , 2007, Physics in medicine and biology.

[2]  George J. Klir,et al.  Uncertainty Modeling and Analysis in Engineering and the Sciences (Hardcover) , 2006 .

[3]  Xun Jia,et al.  A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation. , 2011, Physics in medicine and biology.

[4]  Lei Dong,et al.  Dosimetry tools and techniques for IMRT. , 2011, Medical physics.

[5]  H. Shiomi,et al.  Clinical introduction of Monte Carlo treatment planning for lung stereotactic body radiotherapy , 2014, Journal of applied clinical medical physics.

[6]  A. Mostaar,et al.  Commissioning and initial acceptance tests for a commercial convolution dose calculation algorithm for radiotherapy treatment planning in comparison with Monte Carlo simulation and measurement , 2012, Journal of medical physics.

[7]  A Monte Carlo and experimental investigation of the dosimetric behavior of low‐ and medium‐perturbation diodes used for entrance in vivo dosimetry in megavoltage photon beams , 2012, Journal of applied clinical medical physics.

[8]  Lei Xing,et al.  GPU computing in medical physics: a review. , 2011, Medical physics.

[9]  D. E. Wessol,et al.  Monte Carlo treatment planning for molecular targeted radiotherapy within the MINERVA system , 2004, Physics in medicine and biology.

[10]  E. Chie,et al.  Photon energy-modulated radiotherapy: Monte Carlo simulation and treatment planning study. , 2012, Medical physics.

[11]  G FAILLA,et al.  Dosimetry of ionizing radiation. , 1957, Medical sciences.

[12]  J. Mechalakos,et al.  IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. , 2009, Medical physics.

[13]  M. Fix,et al.  Comparison of monte carlo collimator transport methods for photon treatment planning in radiotherapy. , 2010, Medical physics.

[14]  R Mohan,et al.  Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion. , 2004, Physics in medicine and biology.

[15]  Fons Rademakers,et al.  ROOT — An object oriented data analysis framework , 1997 .

[16]  M. Baradaran-Ghahfarokhi,et al.  Assessment of entrance surface dose and health risk from common radiology examinations in Iran. , 2013, Radiation protection dosimetry.

[17]  E. Wilcox,et al.  Stereotactic radiosurgery-radiotherapy: Should Monte Carlo treatment planning be used for all sites? , 2011, Practical radiation oncology.

[18]  J. Dempsey,et al.  Evaluation of the gamma dose distribution comparison method. , 2003, Medical physics.

[19]  J. Cygler,et al.  First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning—new issues for clinical consideration , 2006, Physics in medicine and biology.

[20]  S B Jiang,et al.  Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning , 2000, Physics in medicine and biology.

[21]  Steve B Jiang,et al.  GPU-based ultra-fast dose calculation using a finite size pencil beam model. , 2009, Physics in medicine and biology.

[22]  J. Sempau,et al.  DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations , 2000 .

[23]  G. Verdu,et al.  Tally and geometry definition influence on the computing time in Radiotherapy Treatment Planning with MCNP Monte Carlo code , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Benoît Ozell,et al.  GPUMCD: A new GPU-oriented Monte Carlo dose calculation platform. , 2011, Medical physics.

[25]  M. Fix,et al.  Forward treatment planning for modulated electron radiotherapy (MERT) employing Monte Carlo methods. , 2014, Medical physics.

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

[27]  A. Santos,et al.  Considerations of MCNP Monte Carlo code to be used as a radiotherapy treatment planning tool , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.