Monte Carlo simulations in medical imaging

dc.contributor.author	Λιαπαρίνος, Παναγιώτης Φ.	el
dc.date.accessioned	2015-01-30T16:27:08Z
dc.date.available	2015-01-30T16:27:08Z
dc.date.issued	2015-01-30
dc.identifier.uri	http://hdl.handle.net/11400/5155
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://e-jst.teiath.gr/	en
dc.subject	Nuclear medicine
dc.subject	Πυρηνική ιατρική
dc.subject	Medical areas
dc.subject	Ιατρικοί τομείς
dc.subject	Computing systems
dc.subject	Υπολογιστικά συστημάτα
dc.title	Monte Carlo simulations in medical imaging	en
heal.type	journalArticle
heal.generalDescription	Special issue: Scientific papers presented on the 3nd International Conference on Experiments/Process/System Modeling/Simulation & Optimization in Athens, 8-11 July, 2009. Mini symposium on Medical Imaging, organized by G. Panayiotakis, I. Kandarakis, G. Fountos and I. Valais	en
heal.classification	Medicine
heal.classification	Medical physics
heal.classification	Ιατρική
heal.classification	Ιατρική φυσική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85083001
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική φυσική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85093011
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Tμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας	el
heal.publicationDate	2010
heal.bibliographicCitation	Liaparinos, P.F. (2010). Monte Carlo simulations in medical imaging. "e-Journal of Science & Technology". [Online] 5(2): 7-13. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Monte Carlo techniques have become popular in different areas of medical physics over the last 50 years. Factors which have contributed to the wider use include the improved description of radiation transport as well as the optimization of the computing systems. The main advantage of Monte Carlo methodology deals with the simulation of stochastic processes involving random behavior and the quantification of physical parameters that are difficult or even impossible to calculate by experimental measurements. Due to the above characteristics, many papers have been published based on Monte Carlo methods, most of them emphasizing the electron–photon interactions with matter. Monte Carlo modeling has been carried out by various simulation programs (e.g. EGS, PENELOPE, GEANT4 etc) which in turn have been successfully applied in a variety of medical areas (e.g. mammography, nuclear medicine, radiotherapy etc).	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.publisher	Βαλαής, Ιωάννης Γ.	el
heal.publisher	Φούντος, Γεώργιος Π.	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true