Acknowledgement
The present work was supported by the Special Grant for the Development of Virtual Teaching and Learning (VTL) no. 6430120 from the University Grants Committee of Hong Kong and also by the JSPS KAKENHI grant number 21F21103.
References
- F. Attanasi, A. Knopf, K. Parodi, H. Paganetti, T. Bortfeld, V. Rosso, A. Del Guerra, Extension and validation of an analytical model for in vivo PET verification of proton therapy-a phantom and clinical study, Phys. Med. Biol. 56 (2011) 5079-5098. https://doi.org/10.1088/0031-9155/56/16/001
- N. Kholghi, M. Pouladian, A.S. Monfared, Evaluating the accuracy of electron pencil beam dosimetry based on Monte Carlo simulations using homogeneous and heterogeneous phantoms, Inform. Med. Unlocked 31 (2022), 101006.
- B. Habib, B. Poumarede, F. Tola, J. Barthe, Evaluation of PENFAST-A fast Monte Carlo code for dose calculations in photon and electron radiotherapy treatment planning, Physica Med. 26 (2010) 17-25. https://doi.org/10.1016/j.ejmp.2009.03.002
- R. Doucet, M. Olivares, F. DeBlois, E.B. Podgorsak, I. Kawrakow, J. Seuntjens, Comparison of measured and Monte Carlo calculated dose distributions in inhomogeneous phantoms in clinical electron beams, Phys. Med. Biol. 48 (2003) 2339-2354. https://doi.org/10.1088/0031-9155/48/15/307
- O.P. Gurjar, R.K. Paliwal, S.P. Mishra, A dosimetric study on slab-pinewood-slab phantom for developing the heterogeneous chest phantom mimicking actual human chest, J. Med. Phys. 42 (2017) 80-85. https://doi.org/10.4103/jmp.JMP_125_16
- S.B. Jia, M.H. Hadizadeh, A.A. Mowlavi, M.E. Loushab, Evaluation of energy deposition and secondary particle production in proton therapy of brain using a slab head phantom, Rep. Pract. Oncol. Radiother. 19 (2014) 376-384. https://doi.org/10.1016/j.rpor.2014.04.008
- A. Zaman, M.B. Kakakhel, A. Hussain, A comparison of Monte Carlo, anisotropic analytical algorithm (AAA) and Acuros XB algorithms in assessing dosimetric perturbations during enhanced dynamic wedged radiotherapy deliveries in heterogeneous media, J. Radiother. Pract. 18 (2019) 75-81. https://doi.org/10.1017/S1460396918000262
- M. Shahmohammadi Beni, K.N. Yu, M.R. Islam, H. Watabe, Development of PHITS graphical user interface for simulation of positron emitting radioisotopes production in common biological materials during proton therapy, J. Radiat. Res. 63 (2022) 385-392. https://doi.org/10.1093/jrr/rrac010
- E.H. Bentefour, T. Shikui, D. Prieels, H.M. Lu, Effect of tissue heterogeneity on an in vivo range verification technique for proton therapy, Phys. Med. Biol. 57 (2012) 5473-5484. https://doi.org/10.1088/0031-9155/57/17/5473
- K. Parodi, A. Ferrari, F. Sommerer, H. Paganetti, Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code, Phys. Med. Biol. 52 (2007) 3369-3387. https://doi.org/10.1088/0031-9155/52/12/004
- D.H. Kim, S. Cho, K. Jo, E. Shin, C.S. Hong, Y. Han, T.S. Suh, D.H. Lim, D.H. Choi, Proton range verification in inhomogeneous tissue: treatment planning system vs. measurement vs. Monte Carlo simulation, PLoS ONE 13 (2018), e0193904.