TY - JOUR ID - 12899 TI - An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method JO - Iranian Journal of Medical Physics JA - IJMP LA - en SN - AU - Karbalee, Mojtaba AU - Shahbazi Gahrouei, Daryoush AU - Tavakoli, Mohammad B. AD - School of Allied Medical Sciences, Zabol University of Medical Sciences, Zabol, Iran AD - Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran Y1 - 2018 PY - 2018 VL - 15 IS - Special Issue-12th. Iranian Congress of Medical Physics SP - 263 EP - 263 KW - Dosimetry KW - fast Monte Carlo KW - GPU KW - Phantom KW - radiotherapy treatment planning DO - 10.22038/ijmp.2018.12899 N2 - Introduction: 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. Materials and Methods: 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. Results: 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% dosedifference or 5 mm DTA was observed.   Conclusion: 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. UR - https://ijmp.mums.ac.ir/article_12899.html L1 - ER -