High Energy Clinical Linear Accelerator Modeling and Radiation Leak Measurements

Abstract

Nowadays, clinical radiation and applications are used mostly in the diagnosis and treatment of cancer and derivative diseases. Recently advances in technology, clinical radiation usage areas, devices and models are renewed every day. Therefore, one of the first steps for experimental and measurements of these devices and models is simulation studies. In this situatuation, it is difficult to simulate the radiation and make the calculations experimentally, therefore, software that combines mathematical and physical problems such as Monte Carlo method with simulation technique has been produced. In this study, MCNP code was used as the Monte Carlo method and experimental measurements for the device and the room were measured in Süleyman Demirel University Faculty of Medicine Radiation Onclogy Department, clinical Linear Accelerator in Oncology Clinic and experimental and theoretical results were correlated. As a result of the study, the studies in the literature, simulation and experimental results were compared in selected high energy clinical linear accelerator (18 MV), and the studies in the literature.

Keywords

• Radiotherapy
• Monte Carlo
• Gamma

Yüksek Enerjili Klinik Lineer Hızlandırıcı Modellemesi ve Radyasyon Sızıntı Ölçümleri

Abstract

Radyoterapinin temel hedefi normal hücreleri mümkün olan en az riske atıp tümör hücrelerini öldürmek veya büyümelerini durdurmaktır. Radyoterapi bilindiği üzere radyasyondan faydalanmaktadır. Modern kanser tedavi yöntemleri ise cerrahi operasyon, kemoterapi, radyoterapi şeklindedir. Foton radyoterapi kanser tedavisinde kullanılan en önemli yöntemlerin birisidir. Ayrıca kullanılan bu yöntem için radyoterapi odalarında gama doz ölçüm ve sızıntılarının tespiti önem kazanmaktadır. Bundan dolayı 18 MV LINAC hızlandırıcıda farklı dozlardaki ışınlamalar için ortaya çıkan dozların monte carlo simulasyon hesaplamaları çalışmalarını gerçekleştirdik.

Keywords

• Radyoterapi
• Monte Carlo
• Gama

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