Assessment of Different Training Methods in an Artificial Neural Network to Calculate 2D Dose Distribution in Radiotherapy
Publish place: Iranian Journal of Medical Physics، Vol: 17، Issue: 2
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 320
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJMP-17-2_007
تاریخ نمایه سازی: 1 مرداد 1399
Abstract:
Introduction: Treatment planning is the most important part of treatment. One of the important entries into treatment planning systems is the beam dose distribution data which maybe typically measured or calculated in a long time. This study aimed at shortening the time of dose calculations using artificial neural network (ANN) and finding the best method of training the ANN using Monte Carlo-N-particle (MCNP5) modeling.
Material and Methods: Back-propagation learning algorithm was applied to design the neural network. The ANN was trained by MCNP5 calculations, and different kinds of methods were tested to determine the best method for training. In order to evaluate the accuracy of the ANN, the beam profiles and percentage depth dose (PDD) in the field size of 15×15 cm2 were anticipated by ANN using various training methods. Eventually, the results were compared with those obtained from the MCNP5 code.
Results: There were good agreements between the results of comparing MCNP5 calculations with experimental measurements. Among the different training methods, Trainbfg had the least error for calculation of PDD and beam profile.
Conclusion: The best training method was found to be Trainbfg, and the results revealed the sufficient accuracy of the modeled ANN.
Authors
Mahdi Saeedi-Moghadam
Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
Kamal Hadad
Nuclear Engineering Department, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Banafsheh Zeinali-Rafsanjani
Medical imaging research center, Shiraz University of medical sciences, Shiraz, Iran
Reza Jalli
Medical imaging research center, Shiraz university of medical sciences, Shiraz, Iran