MSPT: an open-source motion simulator for proton therapy

The dosimetric benefits of proton therapy may be greatly degraded when the tumor or organs move during the treatment. Hence, mitigation or adaptive methods have become topics of research interest. These techniques require dose computation on time-dependent patient geometry. We developed an open-source four-dimensional dose computation and evaluation software, Motion Simulator for Proton Therapy (MSPT), for the spot-scanning delivery technique. It aims at highlighting the impact of the patient motion during a treatment delivery by computing dose on the moving patient. The main interest of this simulator lies in the ability to render the impact of a predicted patient motion on a prescribed treatment plan. MSPT used proton pencil beam algorithm for dose computation, and the dose in patient geometry computed by MSPT was able to match that computed by the commercial treatment planning system. MSPT was able to render the impact of motion on patient data sets. This capability makes it an innovative research tool to evaluate and compare different methods of motion management or mitigation. The open-source feature makes it appealing, since it is intended to evolve, to be improved and to be the starting point of new research on patient motion in proton therapy.

[1]  M. J. Berger ESTAR, PSTAR, and ASTAR: Computer programs for calculating stopping-power and range tables for electrons, protons, and helium ions , 1992 .

[2]  M. Durante,et al.  Scanned carbon beam irradiation of moving films: comparison of measured and calculated response , 2012, Radiation Oncology.

[3]  E. Larsen,et al.  A method for incorporating organ motion due to breathing into 3D dose calculations. , 1999, Medical physics.

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

[5]  H Paganetti,et al.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications. , 2012, Medical physics.

[6]  A Monte Carlo tool for combined photon and proton treatment planning verification , 2007 .

[7]  S. Incerti,et al.  Geant4 developments and applications , 2006, IEEE Transactions on Nuclear Science.

[8]  P J Keall,et al.  The application of the sinusoidal model to lung cancer patient respiratory motion. , 2005, Medical physics.

[9]  Christoph Bert,et al.  4D optimization of scanned ion beam tracking therapy for moving tumors , 2014, Physics in medicine and biology.

[10]  Joao Seco,et al.  Breathing interplay effects during proton beam scanning: simulation and statistical analysis , 2009, Physics in medicine and biology.

[11]  Radhe Mohan,et al.  The M. D. Anderson proton therapy system. , 2009, Medical physics.

[12]  G. Sharp,et al.  Four-dimensional lung treatment planning in layer-stacking carbon ion beam treatment: comparison of layer-stacking and conventional ungated/gated irradiation. , 2011, International journal of radiation oncology, biology, physics.

[13]  D Sánchez-Parcerisa,et al.  FoCa: a modular treatment planning system for proton radiotherapy with research and educational purposes , 2014, Physics in medicine and biology.

[14]  P. Rodrigues,et al.  Overview of Geant4 applications in medical physics , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[15]  G. Blin,et al.  Spot Weight Adaptation for Moving Target in Spot Scanning Proton Therapy , 2015, Front. Oncol..

[16]  H Paganetti,et al.  Four-dimensional Monte Carlo simulation of time-dependent geometries , 2004, Physics in medicine and biology.

[17]  D Meer,et al.  A study on repainting strategies for treating moderately moving targets with proton pencil beam scanning at the new Gantry 2 at PSI , 2010, Physics in medicine and biology.

[18]  Daniel Richter,et al.  Special report: Workshop on 4D-treatment planning in actively scanned particle therapy-Recommendations, technical challenges, and future research directions. , 2010, Medical physics.

[19]  Christoph Bert,et al.  4D treatment planning for scanned ion beams , 2007, Radiation oncology.

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

[21]  D. Low,et al.  A technique for the quantitative evaluation of dose distributions. , 1998, Medical physics.

[22]  Christoph Bert,et al.  Motion compensation with a scanned ion beam: a technical feasibility study , 2008, Radiation oncology.

[23]  Marco Durante,et al.  Four-dimensional patient dose reconstruction for scanned ion beam therapy of moving liver tumors. , 2014, International journal of radiation oncology, biology, physics.

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

[25]  R. Siddon Fast calculation of the exact radiological path for a three-dimensional CT array. , 1985, Medical physics.

[26]  E Heath,et al.  Dosimetric consequences of tumour motion due to respiration for a scanned proton beam , 2011, Physics in medicine and biology.