Radiation Treatment Planning Using Discrete Ordinates Codes
نویسندگان
چکیده
As oncologists are able to treat smaller tumors with more complex external beams, the ability to optimize radiation treatment planning (RTP) becomes very important. Historically, Monte Carlo codes have been used for this type of work since they are equipped to accurately treat charged particles. However, these codes take a long time to run to obtain statistically accurate results. Discrete ordinates codes run much faster than Monte Carlo codes but little experience exists in using these codes for charged particle transport. If discrete ordinates codes would be able to accurately model the electron transport in addition to the photon transport then these codes could be used to efficiently optimize beam treatment and a distinct advantage would be gained over Monte Carlo codes. As an example, the finite element, multi-group discrete ordinates code, ATILLA, has been successfully applied to 3D radiotherapy problems. The DOORS-3.2 package developed by Oak Ridge National Laboratory was used for this work.
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