Experimental determination and verification of the parameters used in a proton pencil beam algorithm.

We present an experimental procedure for the determination and the verification under practical conditions of physical and computational parameters used in our proton pencil beam algorithm. The calculation of the dose delivered by a single pencil beam relies on a measured spread-out Bragg peak, and the description of its radial spread at depth features simple specific parameters accounting individually for the influence of the beam line as a whole, the beam energy modulation, the compensator, and the patient medium. For determining the experimental values of the physical parameters related to proton scattering, we utilized a simple relation between Gaussian radial spreads and the width of lateral penumbras. The contribution from the beam line has been extracted from lateral penumbra measurements in air: a linear variation with the distance collimator-point has been observed. Analytically predicted radial spreads within the patient were in good agreement with experimental values in water under various reference conditions. Results indicated no significant influence of the beam energy modulation. Using measurements in presence of Plexiglas slabs, a simple assumption on the effective source of scattering due to the compensator has been stated, leading to accurate radial spread calculations. Dose measurements in presence of complexly shaped compensators have been used to assess the performances of the algorithm supplied with the adequate physical parameters. One of these compensators has also been used, together with a reference configuration, for investigating a set of computational parameters decreasing the calculation time while maintaining a high level of accuracy. Faster dose computations have been performed for algorithm evaluation in the presence of geometrical and patient compensators, and have shown good agreement with the measured dose distributions.

[1]  M Goitein,et al.  Compensating for heterogeneities in proton radiation therapy. , 1984, Physics in medicine and biology.

[2]  E. Pedroni,et al.  The calibration of CT Hounsfield units for radiotherapy treatment planning. , 1996, Physics in medicine and biology.

[3]  E. Pedroni,et al.  Dose calculation and optimization for 3D conformal voxel scanning , 1992, Radiation and environmental biophysics.

[4]  V. Highland,et al.  Some Practical Remarks on Multiple Scattering , 1975 .

[5]  P Andreo,et al.  Monte Carlo and analytical calculation of proton pencil beams for computerized treatment plan optimization , 1997, Physics in medicine and biology.

[6]  C Nauraye,et al.  A model for the lateral penumbra in water of a 200-MeV proton beam devoted to clinical applications. , 1997, Medical physics.

[7]  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.

[8]  G. Chen,et al.  Measurements and calculations of the influence of thin inhomogeneities on charged particle beams. , 1978, Medical physics.

[9]  W Schlegel,et al.  An analytical approximation of depth-dose distributions for therapeutic proton beams. , 1996, Physics in medicine and biology.

[10]  A M Koehler,et al.  Dosimetry of proton beams using small silicon diodes. , 1967, Radiation research. Supplement.

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

[12]  E Grusell,et al.  Dose calculations in proton beams: range straggling corrections and energy scaling. , 1995, Physics in medicine and biology.

[13]  M. Wagner Automated range compensation for proton therapy. , 1982, Medical physics.

[14]  Robert J. Schneider,et al.  Range modulators for protons and heavy ions , 1975 .

[15]  M Goitein,et al.  A pencil beam algorithm for proton dose calculations. , 1996, Physics in medicine and biology.

[16]  E Grusell,et al.  General characteristics of the use of silicon diode detectors for clinical dosimetry in proton beams. , 2000, Physics in medicine and biology.

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

[18]  M Goitein,et al.  Proton beam penumbra: effects of separation between patient and beam modifying devices. , 1986, Medical physics.

[19]  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.

[20]  P. van Luijk,et al.  Collimator scatter and 2D dosimetry in small proton beams , 2001, Physics in medicine and biology.

[21]  Michael Lee,et al.  An empirical method to build up a model of proton dose distribution for a radiotherapy treatment-planning package , 1993 .

[22]  M. Goitein Compensation for inhomogeneities in charged particle radiotherapy using computed tomography. , 1978, International journal of radiation oncology, biology, physics.

[23]  Robert J. Schneider,et al.  Multiple Coulomb scattering of 160 MeV protons , 1993 .

[24]  E Pedroni,et al.  The precision of proton range calculations in proton radiotherapy treatment planning: experimental verification of the relation between CT-HU and proton stopping power. , 1998, Physics in medicine and biology.