Have a personal or library account? Click to login
The determination of virtual source position using convergent anti-trigonometric functions (arcCOS and arcSIN) method for scanning-passive scatter beam in carbon ion therapy Cover

The determination of virtual source position using convergent anti-trigonometric functions (arcCOS and arcSIN) method for scanning-passive scatter beam in carbon ion therapy

Open Access
|Feb 2023

References

  1. 1. Sawkey DL, Faddegon BA. Determination of electron energy, spectral width, and beam divergence at the exit window for clinical megavoltage x-ray beams. Med Phys. 2009;36:698-707. https://doi.org/10.1118/1.307054710.1118/1.3070547267367819378730
  2. 2. Sham E, Seuntjens J, Devic S, Podgorsak EB. Influence of focal spot on characteristics of very small diameter radiosurgical beams. Med Phys. 2008;35(7):3317-3330. https://doi.org/10.1118/1.293633510.1118/1.293633518697556
  3. 3. Knöös T, Wieslander E, Cozzi L, et al. Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situation. Phys Med Biol. 2006;51(22):5785-5807. https://doi.org/10.1088/0031-9155/51/22/00510.1088/0031-9155/51/22/00517068365
  4. 4. Sterpin E, Tomsej M, De Smedt B, et al. Monte Carlo evaluation of the AAA treatment planning algorithm in a heterogeneous multilayer phantom and IMRT clinical treatments for an Elekta SL25 linear accelerator. Med Phys. 2007;34(5):1665-1677. https://doi.org/10.1118/1.272731410.1118/1.272731417555248
  5. 5. Bortfeld T, Schlegel W. An analytical approximation of depth–dose distributions for theraputic proton beams. Phys Med Biol. 2007;41(8):1331-1339. https://doi.org/10.1088/0031-9155/41/8/00610.1088/0031-9155/41/8/0068858723
  6. 6. Chetty IJ, Curran B, Cygler JE, et al. Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning. Med Phys. 2007;34(12):4818-4853. https://doi.org/10.1118/1.279584210.1118/1.279584218196810
  7. 7. Kooy H, Rosenthal S, Engelsman M, et al. The prediction of output factors for spread-out proton Bragg peak fields in clinical practice Phys Med Biol. 2005;50(24):5847-5856. https://doi.org/10.1088/0031-9155/50/24/00610.1088/0031-9155/50/24/00616333159
  8. 8. Kooy H, Schaefer M, Rosenthal S, Bortfeld T. Monitor unit calculations for range-modulated spread-out Bragg peak fields. Phys Med Biol. 2003;48(17):2797-2808. https://doi.org/10.1088/0031-9155/48/17/30510.1088/0031-9155/48/17/30514516102
  9. 9. Petti PL. Differential-pencil-beam dose calculation for charged particles. Med Phys. 1992;19:137-149. https://doi.org/10.1118/1.59688710.1118/1.5968871320182
  10. 10. Verhaegen F, Seuntjens J. Monte Carlo modeling of external radiotherapy photon beams. Phys Med Biol. 2003;48(21):R107-R164. https://doi.org/10.1088/0031-9155/48/21/r0110.1088/0031-9155/48/21/R01
  11. 11. Russell KR, Isacsson U, Saxner M, et al. Implementation of pencil kernel and depth penetration algorithms for treatment planning of proton beams. Phys Med Biol. 2000;45(1):9-27. https://doi.org/10.1088/0031-9155/45/1/30210.1088/0031-9155/45/1/30210661580
  12. 12. Reynaert N, van der Marck SC, Schaart DR, et al. Monte Carlo treatment planning for photon and electron beams. Radiat Phys Chem. 2007;76(4):643-686. https://doi.org/10.1016/j.radphyschem.2006.05.01510.1016/j.radphyschem.2006.05.015
  13. 13. Lei KM, Mak PI, Law MK, Martins RP. CMOS biosensors for in vitro diagnosis - transducing mechanisms and applications. Lab Chip. 2016;16(19):3664-3681. https://doi.org/10.1039/c6lc01002d10.1039/C6LC01002D
  14. 14. Kang HG, Song JJ, Lee K et al. An investigation of medical radiation detection using CMOS image sensors in smartphones. Nuclear Inst and Methods in Physics Research, A. 2016;823:126-134. https://doi.org/10.1016/j.nima.2016.04.00710.1016/j.nima.2016.04.007
  15. 15. Dreindl R, Georg D, Stock M. Radiochromic film dosimetry: considerations on precision and accuracy for EBT2 and EBT3 type films. Zeitschrift für Medizinische Physik. 2014;24(2):153-163. https://doi.org/10.1016/j.zemedi.2013.08.00210.1016/j.zemedi.2013.08.00224055395
  16. 16. Kamomae T, Miyabe Y, Sawada A, et al. Simulation for improvement of system sensitivity of radiochromic film dosimetry with different band-pass filters and scanner light intensities. Radiol Phys Technol. 2011;4(2):140-147. https://doi.org/10.1007/s12194-011-0113-610.1007/s12194-011-0113-621409612
  17. 17. García-Garduño OA, Lárraga-Gutiérrez JM, Rodríguez-Villafuerte M, et al. Effect of correction methods of radiochromic EBT2 films on the accuracy of IMRT QA. App Radi Isot. 2016;107:121-126. https://doi.org/10.1016/j.apradiso.2015.09.01610.1016/j.apradiso.2015.09.01626492322
  18. 18. Schaffner B. Proton dose calculation based on in-air fluence measurements. Phys Med Biol. 2008;53(6):1545-1562. https://doi.org/10.1088/0031-9155/53/6/00310.1088/0031-9155/53/6/00318367787
  19. 19. Wu JM, Lee TF, Kuo CM A light field-based method to adjust rounded leaf end MLC position for split shape dose calculation correction in a radiation therapy treatment planning system. J Appl Clin Med Phys. 2012;13(6):3937. https://doi.org/10.1120/jacmp.v13i6.393710.1120/jacmp.v13i6.3937571852623149786
DOI: https://doi.org/10.2478/pjmpe-2023-0002 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 10 - 25
Submitted on: Aug 8, 2022
|
Accepted on: Jan 5, 2023
|
Published on: Feb 1, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Yan-Cheng Ye, Wen-Hua Zhang, Jian Wang, Yan-Shan Zhang, Jia-Ming Wu, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.