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

Document Type : Conference Proceedings


1 School of Allied Medical Sciences, Zabol University of Medical Sciences, Zabol, Iran

2 Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran


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.
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.
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.