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dc.contributor.author Παπαδημήτρουλας, Παναγιώτης Γ. el
dc.contributor.author Λούντος, Γεώργιος el
dc.contributor.author Νικηφορίδης, Γεώργιος Κ. el
dc.contributor.author Καγάδης, Γεώργιος Κ. el
dc.date.accessioned 2015-06-05T22:06:20Z
dc.date.available 2015-06-05T22:06:20Z
dc.date.issued 2015-06-06
dc.identifier.uri http://hdl.handle.net/11400/15236
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.source http://scitation.aip.org/content/aapm/journal/medphys en
dc.subject Dose point kernels
dc.subject Dosimetry
dc.subject GATE
dc.subject Monte Carlo simulations
dc.subject Radioimmunotherapy
dc.subject Δοσολογικό σημείο πυρήνα
dc.subject Δοσιμετρία
dc.subject Προσομοίωση μεθόδου Monte Carlo
dc.title A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications el
heal.type journalArticle
heal.secondaryTitle comparison with other Monte Carlo codes el
heal.classification Medicine
heal.classification Technology
heal.classification Ιατρική
heal.classification Τεχνολογία
heal.classificationURI http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI **N/A**-Ιατρική
heal.classificationURI **N/A**-Τεχνολογία
heal.keywordURI http://id.loc.gov/authorities/subjects/sh00007523
heal.identifier.secondary DOI: http://dx.doi.org/10.1118/1.4737096
heal.language en
heal.access campus
heal.recordProvider Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. el
heal.publicationDate 2012
heal.bibliographicCitation Papadimitroulas, P., Loudos, G., Nikiforidis, G. and Kagadis, G. (2012) A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: comparison with other Monte Carlo codes. "Medical Physics", 39 (8). Available from: http://scitation.aip.org/content/aapm/journal/medphys/39/8/10.1118/1.4737096 [Accessed: 05/06/2015]. en
heal.abstract Purpose: GATE is a Monte Carlo simulation toolkit based on the Geant4 package, widely used for many medical physics applications, including SPECT and PET image simulation and more recently CT image simulation and patient dosimetry. The purpose of the current study was to calculate dose point kernels (DPKs) using GATE, compare them against reference data, and finally produce a complete dataset of the total DPKs for the most commonly used radionuclides in nuclear medicine. Methods: Patient-specific absorbed dose calculations can be carried out using Monte Carlo simulations. The latest version of GATE extends its applications to Radiotherapy and Dosimetry. Comparison of the proposed method for the generation of DPKs was performed for (a) monoenergetic electron sources, with energies ranging from 10 keV to 10 MeV, (b) beta emitting isotopes, e.g., 177Lu, 90Y, and 32P, and (c) gamma emitting isotopes, e.g., 111In, 131I, 125I, and 99mTc. Point isotropic sources were simulated at the center of a sphere phantom, and the absorbed dose was stored in concentric spherical shells around the source. Evaluation was performed with already published studies for different Monte Carlo codes namely MCNP, EGS, FLUKA, ETRAN, GEPTS, and PENELOPE. A complete dataset of total DPKs was generated for water (equivalent to soft tissue), bone, and lung. This dataset takes into account all the major components of radiation interactions for the selected isotopes, including the absorbed dose from emitted electrons, photons, and all secondary particles generated from the electromagnetic interactions. Results: GATE comparison provided reliable results in all cases (monoenergetic electrons, beta emitting isotopes, and photon emitting isotopes). The observed differences between GATE and other codes are less than 10 and comparable to the discrepancies observed among other packages. The produced DPKs are in very good agreement with the already published data, which allowed us to produce a unique DPKs dataset using GATE. The dataset contains the total DPKs for 67Ga, 68Ga, 90Y, 99mTc, 111In, 123I, 124I, 125I, 131I, 153Sm, 177Lu 186Re, and 188Re generated in water, bone, and lung. Conclusions: In this study, the authors have checked GATEs reliability for absorbed dose calculation when transporting different kind of particles, which indicates its robustness for dosimetry applications. A novel dataset of DPKs is provided, which can be applied in patient-specific dosimetry using analytical point kernel convolution algorithms. © 2012 American Association of Physicists in Medicine. en
heal.publisher Williamson, Jeffrey F. en
heal.journalName Medical Physics en
heal.journalType peer-reviewed
heal.fullTextAvailability true


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Εκτός από όπου ορίζεται κάτι διαφορετικό, αυτή η άδεια περιγράφεται ως Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες