Free Access
Volume 54, Number 2, April–June 2019
Page(s) 125 - 132
Published online 27 May 2019
  • Abella V, Miró R, Juste B, Verdú G. 2010. 3D dose distribution calculation in a voxelized human phantom by means of Monte Carlo method. Appl. Radiat. Isot. 68: 709–713. [CrossRef] [PubMed] [Google Scholar]
  • Ai-Dong W, Yi-Can W, Sheng-Xiang T, Jiang-Hui Z. 2005. Effect of CT image-based voxel size on Monte Carlo dose calculation. Conf. Proc. IEEE Eng. Med. Biol. Soc. 6: 6449–6451. [PubMed] [Google Scholar]
  • Bouzid D, Bert J, Dupre P-F., Benhalouche S, Pradier O, Boussion N, Visvikis D. 2015. Monte-Carlo dosimetry for intraoperative radiotherapy using a low energy x-ray source. Acta Oncol. (Madr) 54: 1788–1795. [CrossRef] [PubMed] [Google Scholar]
  • Candela-Juan C, Perez-Calatayud J, Ballester F, Rivard MJ. 2013. Calculated organ doses using Monte Carlo simulations in a reference male phantom undergoing HDR brachytherapy applied to localized prostate carcinoma. Med. Phys. 40: 033901. [CrossRef] [PubMed] [Google Scholar]
  • Chetty IJ, Rosu M, Kessler ML, Fraass BA, Ten Haken RK, Kong FMS, McShan DL. 2006. Reporting and analyzing statistical uncertainties in Monte Carlo-based treatment planning. Int. J. Radiat. Oncol. Biol. Phys. 65: 1249–1259. [CrossRef] [PubMed] [Google Scholar]
  • Figueira C, Becker F, Blunck C, DiMaria S, Baptista M, Esteves B, Paulo G, Santos J, Teles P, Vaz P. 2013. Medical staff extremity dosimetry in CT fluoroscopy: An anthropomorphic hand voxel phantom study. Phys. Med. Biol. 58: 5433–5448. [CrossRef] [PubMed] [Google Scholar]
  • ICRP. 2009. ICRP Publication 110: Realistic reference phantoms: An ICRP/ICRU joint effort. A report of adult reference computational phantoms. Ann. ICRP 39: 1–164. [Google Scholar]
  • Marcatili S, Villoing D, Mauxion T, McParland BJ, Bardiès M. 2015. Model-based versus specific dosimetry in diagnostic context: Comparison of three dosimetric approaches. Med. Phys. 42: 1288–1296. [CrossRef] [PubMed] [Google Scholar]
  • Mora G, Pawlicki T, Maio A, Ma C-M. 2001. Effect of voxel size on Monte Carlo dose calculations for radiotherapy treatment planning. In: Adv. Monte Carlo Radiat. Phys., Part. Transp. Simul. Appl., pp. 549–554. Berlin, Heidelberg: Springer. [Google Scholar]
  • Perrot Y, Degoul F, Auzeloux P, Bonnet M, Cachin F, Chezal JM, Donnarieix D, Labarre P, Moins N, Papon J, Rbah-Vidal L, Vidal A, Miot-Noirault E, Maigne L. 2014. Internal dosimetry through GATE simulations of preclinical radiotherapy using a melanin-targeting ligand. Phys. Med. Biol. 59: 2183–2198. [CrossRef] [PubMed] [Google Scholar]
  • Sarrut D, Guigues L. 2008. Region-oriented CT image representation for reducing computing time of Monte Carlo simulations. Med. Phys. 35: 1452–1463. [CrossRef] [PubMed] [Google Scholar]
  • Sarrut D, Bardiès M, Boussion N, Freud N, Jan S, Létang J-M, Loudos G, Maigne L, Marcatili S, Mauxion T, Papadimitroulas P, Perrot Y, Pietrzyk U, Robert C, Schaart DR, Visvikis D, Buvat I. 2014. A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications. Med. Phys. 41: 064301. [CrossRef] [PubMed] [Google Scholar]
  • Schneider W, Bortfeld T, Schlegel W. 2000. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys. Med. Biol. 45: 459–478. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.