title: Application of dose kernel calculation using a simplified Monte Carlo method to treatment plan for scanned proton beams.
abstract: Full Monte Carlo (FMC) calculation of dose distribution has been recognized to have superior accuracy, compared with the pencil beam algorithm (PBA). However, since the FMC methods require long calculation time, it is difficult to apply them to routine treatment planning at present. In order to improve the situation, a simplified Monte Carlo (SMC) method has been introduced to the dose kernel calculation applicable to dose optimization procedure for the proton pencil beam scanning. We have evaluated accuracy of the SMC calculation by comparing a result of the dose kernel calculation using the SMC method with that using the FMC method in an inhomogeneous phantom. The dose distribution obtained by the SMC method was in good agreement with that obtained by the FMC method. To assess the usefulness of SMC calculation in clinical situations, we have compared results of the dose calculation using the SMC with those using the PBA method for three clinical cases of tumor treatment. The dose distributions calculated with the PBA dose kernels appear to be homogeneous in the planning target volumes (PTVs). In practice, the dose distributions calculated with the SMC dose kernels with the spot weights optimized with the PBA method show largely inhomogeneous dose distributions in the PTVs, while those with the spot weights optimized with the SMC method have moderately homogeneous distributions in the PTVs. Calculation using the SMC method is faster than that using the GEANT4 by three orders of magnitude. In addition, the graphic processing unit (GPU) boosts the calculation speed by 13 times for the treatment planning using the SMC method. Thence, the SMC method will be applicable to routine clinical treatment planning for reproduction of the complex dose distribution more accurately than the PBA method in a reasonably short time by use of the GPU-based calculation engine.
authors.affiliation: University of Tsukuba. bk200913087@s.bk.tsukuba.ac.jp.
authors.forename: Shohei
authors.initials: S
authors.lastname: Mizutani
authors.forename: Yoshihisa
authors.initials: Y
authors.lastname: Takada
authors.forename: Ryosuke
authors.initials: R
authors.lastname: Kohno
authors.forename: Kenji
authors.initials: K
authors.lastname: Hotta
authors.forename: Ryohei
authors.initials: R
authors.lastname: Tansho
authors.forename: Tetsuo
authors.initials: T
authors.lastname: Akimoto
mesh_terms: D000465:Algorithms; D006801:Humans; D009010:Monte Carlo Method; D009369:Neoplasms / Q000532:radiotherapy*; D058958:Organs at Risk / Q000528:radiation effects*; D019047:Phantoms, Imaging; D061766:Proton Therapy; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D011522:Protons
chemical_list: D011522:Protons