Abstract

Commercial treatment planning systems with have different dose calculation algorithms have been developed for radiotherapy plans. The Ray Tracing and the Monte Carlo dose calculation algorithms are available for MultiPlan treatment planning system. Many studies indicated that the Monte Carlo algorithm enables the more accurate dose distributions in heterogeneous regions such a lung than the Ray Tracing algorithm. The purpose of this study was to compare the Ray Tracing algorithm with the Monte Carlo algorithm for lung tumors in CyberKnife System. An Alderson Rando anthropomorphic phantom was used for creating CyberKnife treatment plans. The treatment plan was developed using the Ray Tracing algorithm. Then, this plan was recalculated with the Monte Carlo algorithm. EBT3 radiochromic films were put in the phantom to obtain measured dose distributions. The calculated doses were compared with the measured doses. The Monte Carlo algorithm is the more accurate dose calculation method than the Ray Tracing algorithm in nonhomogeneous structures.

Highlights

  •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

  • an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0

  • +, Q&, WKH 0& DOJRULWKP XVLQJ WKH VDPH SDWLHQW GDWD DQG WUHDWPHQW SDUDPHWHUV 7KH\ LQGLFDWHG WKDW WKH 0& DOJRULWKP SUHGLFWV WKH PRUH DFFXUDWH GRVH GLVWULEXWLRQV WKDQ WKH 57 DOJRULWKP 7KH UHVXOWV LQ WKLV LQYHVWLJDWLRQ DUH FRQVLVWHQW ZLWK OLWHUDWXUH

Read more

Summary

Introduction

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

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call