Prog Med Phys.  2021 Dec;32(4):137-144. 10.14316/pmp.2021.32.4.137.

Development of a Beam Source Modeling Approach to Calculate Head Scatter Factors for a 6 MV Unflattened Photon Beam

Affiliations
  • 1Department of Radiation Oncology, Veterans Health Service Medical Center, Seoul, Korea

Abstract

Purpose
This study aimed to investigate the accuracy of head scatter factor (S c ) by applying a developed multi-leaf collimator (MLC) scatter source model for an unflattened photon beam.
Methods
Sets of S c values were measured for various jaw-defined square and rectangular fields and MLC-defined square fields for developing dual-source model (DSM) and MLC scatter model. A 6 MV unflattened photon beam has been used. Measurements were performed using a 0.125 cm 3 cylindrical ionization chamber and a mini phantom. Then, the parameters of both models have been optimized, and S c has been calculated. The DSM and MLC scatter models have been verified by comparing the calculated values to the three S c set measurement values of the jaw-defined field and the two S c set measurement values of MLC-defined fields used in the existing modeling, respectively.
Results
For jaw-defined fields, the calculated S c using the DSM was consistent with the measured S c value. This demonstrates that the DSM was properly optimized and modeled for the measured values. For the MLC-defined fields, the accuracy between the calculated and measured S c values with the addition of the MLC scatter source appeared to be high, but the only use of the DSM resulted in a significantly bigger differences.
Conclusions
Both the DSM and MLC models could also be applied to an unflattened beam. When considering scattered radiation from the MLC by adding an MLC scatter source model, it showed a higher degree of agreement with the actual measured S c value than when using only DSM in the same way as in previous studies.

Keyword

Head scatter factor; Unflattened photon beam; Multi-leaf collimator; Dual-source model

Figure

  • Fig. 1 Schematics of the geometrical relationship between the jaws and multi-leaf collimators (MLCs) in terms of the beam’s eye view, detector’s eye view, and scatter interface for (a) unaffected area, (b) affected area, and (c) head scatter factor (Sc) as a function of the MLC-defined square field size ranging from 4×4 to 15×15 cm2 at a fixed jaw setting of 15×15 cm2. The calculated Sc values are derived from the dual-source model.

  • Fig. 2 Comparison between the calculated and measured head scatter factor (Sc) values for (a) square fields ranging from 4×4 to 40×40 cm2; (b) rectangular fields with one pair of jaws fixed at 10 cm, while the other pair varied from 4 to 40 cm; (c) rectangular fields with one pair of jaws fixed at 4 cm while the other pair varied from 4 to 40 cm; and (d) rectangular fields with one pair of jaws fixed at 40 cm, while the other pair varied from 4 to 40 cm. The calculated Sc values are derived from the dual-source model.

  • Fig. 3 Comparison between the measured and calculated head scatter factor (Sc) values for fixed jaw defined fields of (a) 10×10 cm2, (b) 15×15 cm2, and (c) 20×20 cm2. Sc is calculated based on the dual-source model (DSM) and DSM in conjunction with the multi-leaf collimator (MLC) scatter source (DSM+MLC).


Reference

References

1. Ezzell GA, Galvin JM, Low D, Palta JR, Rosen I, Sharpe MB, et al. 2003; Guidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM Radiation Therapy Committee. Med Phys. 30:2089–2115. DOI: 10.1118/1.1591194. PMID: 12945975.
Article
2. Zhang P, Happersett L, Hunt M, Jackson A, Zelefsky M, Mageras G. 2010; Volumetric modulated arc therapy: planning and evaluation for prostate cancer cases. Int J Radiat Oncol Biol Phys. 76:1456–1462. DOI: 10.1016/j.ijrobp.2009.03.033. PMID: 19540062.
Article
3. Evans JD, Hansen CC, Tollefson MK, Hallemeier CL. 2017; Stereotactic body radiation therapy for medically inoperable, clinically localized, urothelial carcinoma of the renal pelvis: a case report. Adv Radiat Oncol. 3:57–61. DOI: 10.1016/j.adro.2017.08.012. PMID: 29556581. PMCID: PMC5856982.
Article
4. Zhu X, Li F, Liu W, Shi D, Ju X, Cao Y, et al. 2018; Stereotactic body radiation therapy plus induction or adjuvant chemotherapy for early stage but medically inoperable pancreatic cancer: a propensity score-matched analysis of a prospectively collected database. Cancer Manag Res. 10:1295–1304. DOI: 10.2147/CMAR.S163655. PMID: 29872342. PMCID: PMC5973438.
Article
5. Park SY, Kim JI, Hoon Oh D, Park JM. 2019; Evaluation of the plan delivery accuracy of intensity-modulated radiation therapy by texture analysis using fluence maps. Phys Med. 59:64–74. DOI: 10.1016/j.ejmp.2019.02.016. PMID: 30928067.
Article
6. Zhu TC, Ahnesjö A, Lam KL, Li XA, Ma CM, Palta JR, et al. 2009; Report of AAPM Therapy Physics Committee Task Group 74: in-air output ratio, Sc, for megavoltage photon beams. Med Phys. 36:5261–5291. DOI: 10.1118/1.3227367. PMID: 19994536.
Article
7. Lam KL, Muthuswamy MS, Ten Haken RK. 1996; Flattening-filter-based empirical methods to parametrize the head scatter factor. Med Phys. 23:343–352. DOI: 10.1118/1.597798. PMID: 8815376.
Article
8. Kim S, Zhu TC, Palta JR. 1997; An equivalent square field formula for determining head scatter factors of rectangular fields. Med Phys. 24:1770–1774. DOI: 10.1118/1.597963. PMID: 9394284.
Article
9. Kim S, Palta JR, Zhu TC. 1998; The equivalent square concept for the head scatter factor based on scatter from flattening filter. Phys Med Biol. 43:1593–1604. DOI: 10.1088/0031-9155/43/6/017. PMID: 9651028.
Article
10. Park SY, Kim S, Sung W, Kim ST. 2019; Modeling scattered radiation from multi-leaf collimators (MLCs) to improve calculation accuracy of in-air output ratio. Australas Phys Eng Sci Med. 42:719–731. DOI: 10.1007/s13246-019-00781-2. PMID: 31332725. PMCID: PMC6718367.
Article
11. Jiang SB, Boyer AL, Ma CM. 2001; Modeling the extrafocal radiation and monitor chamber backscatter for photon beam dose calculation. Med Phys. 28:55–66. DOI: 10.1118/1.1333747. PMID: 11213923.
Article
12. Cho W, Kielar KN, Mok E, Xing L, Park JH, Jung WG, et al. 2011; Multisource modeling of flattening filter free (FFF) beam and the optimization of model parameters. Med Phys. 38:1931–1942. DOI: 10.1118/1.3560426. PMID: 21626926. PMCID: PMC3188653.
Article
13. Xiao Y, Kry SF, Popple R, Yorke E, Papanikolaou N, Stathakis S, et al. 2015; Flattening filter-free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group. J Appl Clin Med Phys. 16:5219. DOI: 10.1120/jacmp.v16i3.5219. PMID: 26103482. PMCID: PMC5690108.
Article
14. Bagheri H, Soleimani A, Gharehaghaji N, Mesbahi A, Manouchehri F, Shekarchi B, et al. 2017; An overview on small-field dosimetry in photon beam radiotherapy: developments and challenges. J Cancer Res Ther. 13:175–185. DOI: 10.4103/0973-1482.199444. PMID: 28643730.
15. Ghita M, McMahon SJ, Thompson HF, McGarry CK, King R, Osman SOS, et al. 2017; Small field dosimetry for the small animal radiotherapy research platform (SARRP). Radiat Oncol. 12:204. DOI: 10.1186/s13014-017-0936-3. PMID: 29282134. PMCID: PMC5745702.
Article
Full Text Links
  • PMP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr