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

Mojtaba Karbalaee, Daryoush Shahbazi-Gahrouei, Mohammad Bagher Tavakoli



Accurate and fast radiation dose calculation are 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 bone, lung and soft tissue equivalent materials. All measurements was performed using a Mapcheck dosimeter. The accuracy of code was validated using the experimental data which obtained from the anthropomorphic phantom as the gold standard. Findings showed that, compared with those ofDOSXYZnrc in the virtual phantom and for most of the voxels (>95%) less than 3% dose-difference or 3 mm distance-to-agreement was found.Moreover, considering the anthropomorphic phantom, compared to the Mapcheck dose measurements less than 5% dose-difference or 5 mm distance-to-agreement 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 core and the main component of a treatment planning verification system.


Radiotherapy treatment planning; Phantom; dosimetry; Fast Monte Carlo; GPU

Full Text:



  • There are currently no refbacks.