Full Monte Carlo-based biological treatment plan optimization system for intensity modulated carbon ion therapy on GPU

One of the major benefits of carbon ion therapy is enhanced biological effectiveness at the Bragg peak region. For intensity modulated carbon ion therapy (IMCT), it is desirable to employ Monte Carlo (MC) methods to compute properties of each pencil-beam spot for treatment planning, because of their accuracy in modeling physics processes and estimating biological effects. We have previously developed goCMC, a graphics processing unit (GPU)-oriented MC engine for carbon ion therapy. The purpose of this study is to build a biological treatment plan optimization system based on goCMC.

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