Effect of statistical uncertainties on Monte Carlo treatment planning

Physics in Medicine and Biology

Volumn 50, Issue 5, 2005, Pages 891-907

  Ma, C M ^a   Li, J S ^a   Jiang, S B ^a   Pawlicki, T ^a   Xiong, W ^a   Qin, L H ^a   Yang, J ^a  

^a FOX CHASE CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MODULATION; MONTE CARLO METHODS; OPTIMIZATION; STATISTICAL METHODS;

DOSE PRESCRIPTION; INTENSITY MODULATED RADIOTHERAPY (IMRT); MODULATED ELECTRON RADIOTHERAPY (MERT); STATISTICAL UNCERTAINTIES;

RADIOTHERAPY;

CALCULATION; CLINICAL FEATURE; CONFERENCE PAPER; DOSE CALCULATION; INTENSITY MODULATED RADIATION THERAPY; MATHEMATICAL ANALYSIS; MODULATED ELECTRON RADIOTHERAPY; MONTE CARLO METHOD; PRACTICE GUIDELINE; PRESCRIPTION; PRIORITY JOURNAL; RADIOTHERAPY; REACTION OPTIMIZATION; SIMULATION; STATISTICAL ANALYSIS; TIME; TREATMENT PLANNING; UNCERTAINTY;

COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, RADIATION; HEAD AND NECK NEOPLASMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PARTICLE ACCELERATORS; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, CONFORMAL; SCATTERING, RADIATION;

EID: 16444382389     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/50/5/013     Document Type: Conference Paper

References (36)

1. Andreo P 1991 Monte Carlo technique in medical physics Phys. Med. Biol. 36 861-920
2. Bielajew A and Rogers D W O 1987 PRESTA-the parameter reduced electron step algorithm for electron Monte Carlo transport Nucl. Instrum. Methods B 18 165-81
3. Buffa F M and Nahum A E 2000 Monte Carlo dose calculations and radiobiological modelling: analysis of the effect of the statistical noise of the dose distribution on the probability of tumour control Phys. Med. Biol. 45 3009-23
4. Deasy J O, Wickerhauser M V and Picard M 2002 Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold denoising Med. Phys, 29 2366-73
5. Deng J, Jiang S B, Pawlicki T, Li J S and Ma C-M 2000 Electron beam commissioning for Monte Carlo dose calculation Proc. 13th Int. Conf. on the Use of Computer in Radiation Therapy (ICCR) ed W Schlegel and T Bortfeld (Heidelberg: Springer) pp 431-433
6. Fippel M and Nusslin F 2003 Smoothing Monte Carlo calculated dose distributions by iterative reduction of noise Phys. Med. Biol. 48 1289-304
7. Jiang S B, Deng J, Li J S, Pawlicki T, Boyer A L and Ma C-M 2000a Modeling and commissioning of clinical photon beams for Monte Carlo treatment planning Proc. 13th Int. Conf. on the Use of Computer in Radiation Therapy (ICCR) ed W Schlegel and T Bortfeld (Heidelberg: Springer) pp 434-6
8. Jiang S B, Pawlicki T and Ma C-M 2000b Removing the effect of statistical uncertainty on dose-volume histograms from Monte Carlo dose calculations Phys. Med. Biol. 45 2151-61
9. Kawrakow I, Fippel M and Friedrich K 1996 3D electron dose calculation using a voxel based Monte Carlo algorithm Med. Phys. 23 445-57
10. Kawrakow I 2002 On the de-noising of Monte Carlo calculated dose distributions Phys. Med. Biol. 47 3087-103
11. Kawrakow I 2004 The effect of Monte Carlo statistical uncertainties on the evaluation of dose distributions in radiation treatment planning Phys. Med. Biol. 49 1549-56
12. Keall P J and Hoban P W 1996 Super-Monte Carlo: a 3-D electron beam dose calculation algorithm Med. Phys. 23 2023-34
13. Keall P J, Siebers J, Jeraj R and Mohan R 2000 The effect of dose calculation uncertainty on the evaluation of radiotherapy plans Med. Phys. 27 478-84
14. Li J S, Pawlicki T, Deng J, Jiang S B, Mok E and Ma C-M 2000 Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning Phys. Med. Biol. 45 2969-85
15. Li J S, Shahine B, Fourkal E and Ma C-M 2005 A particle track-repeating algorithm for proton beam dose calculation Phys. Med. Biol. 50 1001-10
16. Ma C-M, Faddegon B A, Rogers D W O and Mackie T R 1997 Accurate characterization of the Monte Carlo calculated electron beams for radiotherapy Med. Phys. 24 401-17
17. Ma C-M and Jiang S B 1999 Monte Carlo modelling of electron accelerators Phys. Med. Biol. 44 R157-R189
18. Ma C-M, Li J S, Pawlicki T, Jiang S B, Deng J, Lee M C, Koumrian T, Luxton M and Brain S 2002 A Monte Carlo dose calculation tool for radiotherapy treatment planning Med. Phys. 47 1671-89
19. Ma C-M, Mok E, Kapur A, Pawlicki T A, Findley D, Brain S, Forster K and Boyer A L 1999 Clinical implementation of a Monte Carlo treatment planning system for radiotherapy Med. Phys. 26 2133-43
20. Ma C-M and Nahum A E 1993 Calculation of absorbed dose ratios using correlated Monte Carlo sampling Med. Phys. 20 1189-99
21. Ma C-M, Pawlicki P, Jiang S B, Li J S and Deng J 2000 MCDOSE: a Monte Carlo dose calculation tool for radiation therapy treatment planning Proc. 13th Int. Conf. on the Use of Computer in Radiation Therapy (ICCR) ed W Schlegel and T Bortfeld (Heidelberg: Springer) pp 123-25
22. Ma C-M et al 2004a Monitor unit calculation for Monte Carlo treatment planning Phys. Med. Biol. 49 pp 1671-87
23. Ma C-M et al 2004b MCSIM: a Monte Carlo dose calculation tool for radiation therapy Proc. 14th Int. Conf. on the Use of Computer in Radiation Therapy (ICCR) ed B Y Yi, S D Ahn, E K Choi and S W Ha (Seoul: Jeong Publishing) 515-9
24. Ma C-M, Pawlicki T, Jiang S B, Mok E, Kapur A, Xing L, Ma L and Boyer A L 2000 Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system Phys. Med. Biol. 45 2483-95
25. Mackie T R 1990 Applications of the Monte Carlo method in radiotherapy Dosimetry of Ionizing Radiation vol 3, ed K Kase, B Bjarngard and F H Attix (New York: Academic) pp 541-620
26. Mohan R 1997 Why Monte Carlo? Proc. 12th ICCR (Salt Lake City, Utah) pp 16-8
27. Nelson R, Hirayama H and Rogers D W O 1985 The EGS4 code system Stanford Linear Accelerator Center Report SLAC-265 (Stanford, CA: SLAC)
28. Pawlicki T A, Jiang S B, Deng J, Li J S and Ma C-M 1999 Monte Carlo calculated beamlets for photon beam inverse planning Med. Phys. 26 1064-5
29. Pawlicki T and Ma C-M 2001 Monte Carlo dose modeling for MLC-based IMRT Med. Dosim. 26 157-68
30. Rogers D W O and Bielajew A F 1990 Monte Carlo techniques of electrons and photons for radiation dosimetry Dosimetry of Ionizing Radiation vol 3, ed K Kase, B E Bjarngard and F H Attix (New York: Academic) pp 427-539
31. Rogers D W O, Faddegon B A, Ding G X, Ma C M, Wei J S and Mackie T R 1995a BEAM: a Monte Carlo code to simulate radiotherapy treatment units Med. Phys. 22 503-25
32. Sempau J and Bielajew A F 2000 Towards the elimination of Monte Carlo statistical fluctuations from dose volume histograms for radiotherapy treatment planning Phys. Med. Biol. 45 131-57
33. Sempau J et al 2001 Monte Carlo simulation of electron beams from an accelerator head using PENELOPE Phys. Med. Biol. 46 1163-86
34. Verhaegen F and Seuntjens J 2003 Monte Carlo modelling of external radiotherapy photon beams Phys. Med. Biol. 48 R107-R164
35. Walters B R B, Kawrakow I and Rogers D W O 2002 History by history statistical estimators in the BEAM code system Med. Phys. 29 2745-52
36. Xiong W, Li J, Li S, Price R A, Ding M, Qin L H, Yang J, Chen L and Ma C-M 2004 Optimization of combined photon and electron beams for breast cancer treatment Phys. Med. Biol. 49 1973-89