Parameterization of multiple Bragg curves for scanning proton beams using simultaneous fitting of multiple curves

Although Bortfeld's analytical formula is useful for describing Bragg curves, measured data can deviate from the values predicted by the model. Thus, we sought to determine the parameters of a closed analytical expression of multiple Bragg curves for scanning proton pencil beams using a simultaneous optimization algorithm and to determine the minimum number of energies that need to be measured in treatment planning so that complete Bragg curves required by the treatment planning system (TPS) can be accurately predicted. We modified Bortfeld's original analytical expression of Bragg curves to accurately describe the dose deposition resulting from secondary particles. The parameters of the modified analytical expression were expressed as the parabolic cylinder function of the ranges of the proton pencil beams in water. Thirty-nine discrete Bragg curves were measured in our center using a PTW Bragg Peak chamber during acceptance and commission of the scanning beam proton delivery system. The coefficients of parabolic function were fitted by applying a simultaneous optimization algorithm to seven measured curves. The required Bragg curves for 45 energies in the TPS were calculated using our parameterized analytical expression. Finally, the 10 cm width of spread-out Bragg peaks (SOBPs) of beams with maximum energies of 221.8 and 121.2 MeV were then calculated in the TPS and compared with measured data. Compared with Bortfeld's original formula, our modified formula improved fitting of the measured depth dose curves at depths around three-quarters of the maximum range and in the beam entrance region. The parabolic function described the relationship between the parameters of the analytic expression of different energies. The predicted Bragg curves based on the parameters fitted using the seven measured curves accurately described the Bragg curves of proton pencil beams of 45 energies configured in our TPS. When we used the calculated Bragg curves as the input to TPS, the standard deviations of the measured and calculated data points along the 10 cm SOBPs created with proton pencil beams with maximum energies of 221.8 and 121.2 MeV were 1.19% and 1.18%, respectively, using curves predicted by the algorithm generated from the seven measured curves. Our method would be a valuable tool to analyze measured Bragg curves without the need for time-consuming measurements and correctly describe multiple Bragg curves using a closed analytical expression.

[1]  P. Petti,et al.  Differential-pencil-beam dose calculations for charged particles. , 1992, Medical physics.

[2]  B. Schaffner Proton dose calculation based on in-air fluence measurements , 2008, Physics in medicine and biology.

[3]  A. Lomax,et al.  Intensity modulation methods for proton radiotherapy. , 1999, Physics in medicine and biology.

[4]  P L Petti,et al.  Evaluation of a pencil-beam dose calculation technique for charged particle radiotherapy. , 1996, International journal of radiation oncology, biology, physics.

[5]  C. Ma,et al.  A particle track-repeating algorithm for proton beam dose calculation , 2005, Physics in medicine and biology.

[6]  U. Oelfke,et al.  Two-dimensional pencil beam scaling: an improved proton dose algorithm for heterogeneous media. , 2002, Physics in medicine and biology.

[7]  Radhe Mohan,et al.  Incorporating partial shining effects in proton pencil-beam dose calculation , 2008, Physics in medicine and biology.

[8]  J O Deasy,et al.  A proton dose calculation algorithm for conformal therapy simulations based on Molière's theory of lateral deflections. , 1998, Medical physics.

[9]  U Isacsson,et al.  Implementation of pencil kernel and depth penetration algorithms for treatment planning of proton beams. , 2000, Physics in medicine and biology.

[10]  E Pedroni,et al.  Experimental characterization and physical modelling of the dose distribution of scanned proton pencil beams , 2005, Physics in medicine and biology.

[11]  Radhe Mohan,et al.  Monte Carlo investigation of the low-dose envelope from scanned proton pencil beams , 2010, Physics in medicine and biology.

[12]  Radhe Mohan,et al.  Intensity-modulated proton therapy reduces the dose to normal tissue compared with intensity-modulated radiation therapy or passive scattering proton therapy and enables individualized radical radiotherapy for extensive stage IIIB non-small-cell lung cancer: a virtual clinical study. , 2010, International journal of radiation oncology, biology, physics.

[13]  R. Mohan,et al.  An MCNPX Monte Carlo model of a discrete spot scanning proton beam therapy nozzle. , 2010, Medical physics.

[14]  Matthias Fippel,et al.  A pencil beam algorithm for intensity modulated proton therapy derived from Monte Carlo simulations , 2005, Physics in medicine and biology.

[15]  T Bortfeld,et al.  An analytical approximation of the Bragg curve for therapeutic proton beams. , 1997, Medical physics.

[16]  E. Pedroni,et al.  Dose calculation models for proton treatment planning using a dynamic beam delivery system: an attempt to include density heterogeneity effects in the analytical dose calculation. , 1999, Physics in medicine and biology.

[17]  E. Pedroni,et al.  The 200-MeV proton therapy project at the Paul Scherrer Institute: conceptual design and practical realization. , 1995, Medical physics.