Monte Carlo uncertainty analysis of dose estimates in radiochromic film dosimetry with single-channel and multichannel algorithms |
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| Institution: | 1. Hospital Universitari Sant Joan de Reus, Servicio de Física Médica, Reus (Tarragona), Spain;2. PhD Programme in Physics and Space Science of the University of Granada, Granada, Spain;3. Hospital Universitario Virgen de la Arrixaca, El Palmar (Murcia), Spain;1. International Atomic Energy Agency (IAEA), P.O. Box 100, 1400 Vienna, Austria;2. Bundesamt für Eich- und Vermessungswesen (BEV), Dosimetrielabor im Forschungszentrum Seibersdof, Austria;3. Greek Atomic Energy Commission (IRCL/GAEC-EIM), P.O. Box 60092, Agia Paraskevi, 15310 Attiki, Greece;4. IBA Dosimetry GmbH, Dosimetry Laboratory, Bahnhofstrasse 5, D-90592 Schwarzenbruck, Germany;5. National Metrology Institute of South Africa (NMISA), Private Bag X34, Lynnwood Ridge, Pretoria 0040, South Africa;6. Radiation and Nuclear Safety Authority (STUK), Laippatie 4, FI.00881 Helsinki, Finland;7. Instituto Superior Técnico, LPRS – Laboratório, Metrologia de Radiações Ionizantes (LMRI), Estrada Nacional 10, 2695-066 Bobadela LRS, Portugal;8. Czech Metrology Institute (CMI) Radiova 1, CZ 10200 Prague, Czech Republic;9. Swedish Radiation Safety Authority (SSM), Solna strandväg 96, SE-171 16 Stockholm, Sweden;10. Jozef Stefan Institute (IJS), Ljubljana, Jamova 39, SI-1000, Slovenia;11. King Faisal Specialist Hospital and Research Centre (KFSHRC), P.O. Box 3354, Riyadh 11211, Saudi Arabia;12. Radiation Control Department, Ministry of Health, Sheba Medical Center, Aharon Katsir Av. #7, Ramat-Gan, Israel;1. Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden;2. Department of Radiation Physics, Sahlgrenska Academy at the University of Gothenburg, Sweden;3. Department of Radiation Physics, Skåne University Hospital, Lund, Sweden;4. Department of Oncology, University of Gothenburg, Sweden;1. Department of Physics, Institute of Applied Sciences & Humanities, GLA University, Mathura, 281406, Uttar Pradesh, India;2. Department of Radiological Physics & B.E, Sher I Kashmir Institute of Medical Sciences, Soura, Srinagar, J & K, 190011, India;1. Department of Radiation Physics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China;2. Department of Oncology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China;1. Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea;2. Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea;3. Biomedical Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea;4. Center for Convergence Research on Robotics, Advance Institutes of Convergence Technology, Suwon, Republic of Korea |
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| Abstract: | PurposeTo provide a multi-stage model to calculate uncertainty in radiochromic film dosimetry with Monte-Carlo techniques. This new approach is applied to single-channel and multichannel algorithms.Material and methodsTwo lots of Gafchromic EBT3 are exposed in two different Varian linacs. They are read with an EPSON V800 flatbed scanner. The Monte-Carlo techniques in uncertainty analysis provide a numerical representation of the probability density functions of the output magnitudes. From this numerical representation, traditional parameters of uncertainty analysis as the standard deviations and bias are calculated. Moreover, these numerical representations are used to investigate the shape of the probability density functions of the output magnitudes. Also, another calibration film is read in four EPSON scanners (two V800 and two 10000XL) and the uncertainty analysis is carried out with the four images.ResultsThe dose estimates of single-channel and multichannel algorithms show a Gaussian behavior and low bias. The multichannel algorithms lead to less uncertainty in the final dose estimates when the EPSON V800 is employed as reading device. In the case of the EPSON 10000XL, the single-channel algorithms provide less uncertainty in the dose estimates for doses higher than four Gy.ConclusionA multi-stage model has been presented. With the aid of this model and the use of the Monte-Carlo techniques, the uncertainty of dose estimates for single-channel and multichannel algorithms are estimated. The application of the model together with Monte-Carlo techniques leads to a complete characterization of the uncertainties in radiochromic film dosimetry. |
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| Keywords: | Uncertainty analysis Radiochromic film Monte-Carlo Multichannel algorithm |
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