Demonstration of scan path optimization in proton therapy.

A three-dimensional (3D) intensity modulated proton therapy treatment plan to be delivered by magnetic scanning may comprise thousands of discrete beam positions. This research presents the minimization of the total scan path length by application of a fast simulated annealing (FSA) optimization algorithm. Treatment plans for clinical prostate and head and neck cases were sequenced for continuous raster scanning in two ways, and the resulting scan path lengths were compared: (1) A simple back-and-forth, top-to-bottom (zigzag) succession, and (2) an optimized path produced as a solution of the FSA algorithm. Using a first approximation of the scanning dynamics, the delivery times for the scan sequences before and after path optimization were calculated for comparison. In these clinical examples, the FSA optimization shortened the total scan path length for the 3D target volumes by approximately 13%-56%. The number of extraneous spilled particles was correspondingly reduced by about 13%-54% due to the more efficient scanning maps that eliminated multiple crossings through regions of zero fluence. The relative decrease in delivery time due to path length minimization was estimated to be less than 1%, due to both a high scanning speed and time requirements that could not be altered by optimization (e.g., time required to change the beam energy). In a preliminary consideration of application to rescanning techniques, the decrease in delivery time was estimated to be 4%-20%.

[1]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[2]  D. Schardt,et al.  Magnetic scanning system for heavy ion therapy , 1993 .

[3]  Alessandra Bolsi,et al.  Treatment planning and verification of proton therapy using spot scanning: initial experiences. , 2004, Medical physics.

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

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

[6]  T. Bortfeld,et al.  Inverse planning for photon and proton beams. , 2001, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[7]  H. Szu Fast simulated annealing , 1987 .

[8]  M. Phillips,et al.  Effects of respiratory motion on dose uniformity with a charged particle scanning method. , 1992, Physics in medicine and biology.

[9]  Ugo Amaldi,et al.  Radiotherapy with beams of carbon ions , 2005 .

[10]  E. Pedroni,et al.  Intensity modulated proton therapy: a clinical example. , 2001, Medical physics.

[11]  Simeon Nill Development and application of a multi-modality inverse treatment planning system , 2001 .

[12]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[13]  G T Chen,et al.  Beam scanning for heavy charged particle radiotherapy. , 1983, Medical physics.

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

[15]  Richard W. Eglese,et al.  Simulated annealing: A tool for operational research , 1990 .