@article { author = {Karbalee, Mojtaba and Shahbazi Gahrouei, Daryoush and Tavakoli, Mohammad B.}, title = {An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method}, journal = {Iranian Journal of Medical Physics}, volume = {15}, number = {Special Issue-12th. Iranian Congress of Medical Physics}, pages = {263-263}, year = {2018}, publisher = {Mashhad University of Medical Sciences}, issn = {2345-3672}, eissn = {2345-3672}, doi = {10.22038/ijmp.2018.12899}, abstract = {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.}, keywords = {Dosimetry,fast Monte Carlo,GPU,Phantom,radiotherapy treatment planning}, url = {https://ijmp.mums.ac.ir/article_12899.html}, eprint = {} }