eIMRT: A web platform for the verification and optimization of radiation treatment plans

Journal of Applied Clinical Medical Physics

Volumn 10, Issue 3, 2009, Pages 205-220

  Pena, Javier ^a   González Castaño, Diego M ^a   Gómez, Faustino ^a   Gago Arias, Araceli ^a   González Castaño, Francisco J ^b   Rodríguez Silva, Daniel ^b   Gómez, Andrés ^c   Mouriño, Carlos ^c   Pombar, Miguel ^d   Sánchez, Manuel ^d  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

^c Centro de Supercomputacion de Galicia   (Spain)

^d Instituto de Salud Carlos III   (Spain)

Author keywords

Convolution superposition; CRT planning; IMRT planning; Monte carlo; Multiplan framework; Treatment optimization; Treatment verification; Web application

Indexed keywords

EID: 77749251982     PISSN: None     EISSN: 15269914     Source Type: Journal    
DOI: 10.1120/jacmp.v10i3.2998     Document Type: Article

References (37)

1. Leal A, Sánchez-Doblado F, Arráns R, Roselló J, Pavón EC, Lagares JI. Routine IMRT verification by means of an automated Monte Carlo simulation System. Int J Radiat Oncol Biol Phys. 2003;56(1): 58-68.
2. Francescon P, Cora S, Chiovati P. Dose verification of an IMRT treatment planning system with the BEAM EGS4-based Monte Carlo code. Med Phys. 2003;30(2):144-57.
3. Scholz C, Nill S, Oelfke U. Comparison of IMRT optimization based on a pencil beam and a superposition algorithm. Med Phys. 2003;30(7):1909-13.
4. Chui C, Spirou SV. Inverse planning algorithms for external radiation therapy. Med Dosim. 2001;26(2):189-97.
5. D'Souza WD, Meyer RR, Shi L. Selection of beam orientations in intensity-modulated radiation therapy using single-beam indices and integer programming. Phys Med Biol. 2004;49(15):3465-81.
6. Hartmann Siantar CL, Walling RS, Daly TP, et al. Description and dosimetric verification of the PEREGRINE Monte Carlo dose calculation system for photon beams incident on a water phantom. Med Phys. 2001;28(7):1322-37.
7. Georg D, Stock M, Kroupa B, et al. Patient-specific IMRT verification using independent fluence-based dose calculation software: experimental benchmarking and initial clinical experience. Phys Med Biol. 2007;52(16):4891-92.
8. González-Castaño D, Pena J, Sánchez-Doblado F, Hartmann GH, Gómez F, Leal A. The change of response of ionization chambers in the penumbra and transmission regions: impact for IMRT verification. Med Bio Eng Comput. 2008;46(4):373-80.
9. Ferraris M, Frixione P, Squarcia S. The NORMA Project: A new way for Remote Consult in Radiotherapy. Proceedings of the Radiation Society of North America RSNA99; 1999 November 28-December3; Chicago (IL). Radiology. 1999;213 Suppl:S584.
10. Kawrakov I, Rogers DWO. The EGSnrc code system: Monte Carlo simulation of electron and photon transport, NRCC Report PIRS-701. Ottawa (ON): National Research Council of Canada; 2006.
11. Rogers DWO, Faddegon BA, Ding GX, Ma CM, We J, Mackie TR. BEAM: a Monte Carlo code to simulate radiotherapy treatment units. Med Phys. 1995;22(5):503-24.
12. Sempau J, Sánchez-Reyes A, Salvat F, ben Tahar HO, Jiang SB, Fernández-Varea JM. Monte Carlo simulation of electron beams from an accelerator head using PENELOPE. Phys Med Biol. 2001;46(4):1163-86.
13. Rodríguez ML. PENLINAC: extending the capabilities of the Monte Carlo code PENELOPE for the simulation of therapeutic beams. Phys Med Biol. 2008;53(17):4573-93.
14. Deasy JO, Blanco AI, Clark VH. CERR: a computational environment for radiotherapy research. Med Phys. 2003;30(5):979-85.
15. Alexander A, Deblois F, Stroian G, Al-Yahya K, Heath E, Seuntjens J. MMCTP: a radiotherapy research environment for Monte Carlo and patient-specific treatment planning. Phys Med Biol. 2007;52(13):N297-N308.
16. Ogawa Y, Nemoto K, Kakuto Y, et al. Construction of a remote radiotherapy planning system. Int J Clin Oncol. 2005;10(1):26-29.
17. Gómez A, Sánchez CF, Gallego JCM, et al. Monte Carlo verification of IMRT treatment plans on Grid. In: Jacq N and others, editors. From Genes to Personalized HeathCare: Grid Solutions for the Life Sciences: Proceedings of Health Grid 2007. IOS Press; 2007.
18. Low DA, Harms WB, Mutic S, Purdy JA. A technique for the quantitative evaluation of dose distributions. Med Phys. 1998;25(5):656-61.
19. Pena J, González-Castaño DM, Gómez F, Sánchez-Doblado F, Hartmann GH. Automatic determination of primary electron beam parameters in Monte Carlo simulation. Med Phys. 2007;34(3):1076-84.
20. Walters BRB, Rogers DWO. DOSXYZnrc Users Manual, NRCC Report PIRS-794. Ottawa (ON): National Research Council of Canada; 2002. 21.
21. Wu Q, Mohan R. Algorithms and functionality of an intensity modulated radiotherapy optimization system. Med Phys. 2000;27(4):701-11.
22. Rowbottom CG, Khoo VS, Webb S. Simultaneous optimization of beam orientations and beam weights in conformal radiotherapy. Med Phys. 2001;28(8):1696-1702.
23. Pugachev AB, Boyer AL, Xing L. Beam orientation optimization in intensity-modulated radiation treatment planning. Med Phys. 2000;27(6):1238-45.
24. Stein J, Mohan R, Wang XH, et al. Number and orientations of beams in intensity-modulated radiation treatments. Med Phys. 1997;24(2):149-60.
25. Beaulieua F, Beaulieu L, Tremblay D, Roy R. Simultaneous optimization of beam orientations, wedge filters and field weights for inverse planning with anatomy-based MLC fields. Med Phys. 2004;31(6):1546-57.
26. Lee EK, Fox T, Crocker I. Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2006;64(1):301-20.
27. Pugachev A, Xing L. Incorporating prior knowledge into beam orientation optimization in IMRT. Int J Radiat Oncol Biol Phys. 2002;54(5):1565-74.
28. Naqvi SA, Earl MA, Shepard DM. Convolution/superposition using the Monte Carlo method. Phys Med Biol. 2003;48(14):2101-21.
29. Deasy JO. Multiple local minima in radiotherapy optimization problems with dose-volume constraints. Med Phys. 1997;24(7):1157-61.
30. Wu Q, Mohan R. Multiple local minima in IMRT optimization based on dose-volume criteria. Med Phys. 2002;29(7):1514-27.
31. Webb S. Optimisation of conformal radiotherapy dose distributions by simulated annealing. Phys Med Biol. 1989;34(10):1349-70.
32. Zhang X, Liu H, Wang X, Dong L, Wu Q, Mohan R. Speed and convergence properties of gradient algorithms for optimization of IMRT. Med Phys. 2004;31(5):1141-52.
33. Scholz C, Nill S, Oelfke U. Comparison of IMRT optimization based on a pencil beam and a superposition algorithm. Med Phys. 2003;30(7):1909-13.
34. Xia P, Verhey LJ. Multileaf collimator leaf sequencing algorithm for intensity modulated beams with multiple static segments. Med Phys. 1998;25(8):1424-34.
35. Que W. Comparison of algorithms for multileaf collimator field segmentation. Med Phys. 1999;26(11):2390-96.
36. Fippel M, Haryanto F, Dohm O, Nüsslin F, Kriesen S. A virtual photon energy fluence model for Monte Carlo dose calculation. Med Phys. 2003;30(3):301-11.
37. Sheikh-Bagheri D, Rogers DWO. Monte Carlo calculation of nine megavoltage photon beam spectra using the BEAM code. Med Phys. 2002;29(3):391-402.