Image quality in digital radiography

dc.contributor.author	Σπυροπούλου, Βασιλική Α.	el
dc.contributor.author	Καλύβας, Νεκτάριος Ι.	el
dc.contributor.author	Γαϊτάνης, Αναστάσιος	el
dc.contributor.author	Κανδαράκης, Ιωάννης Γ.	el
dc.contributor.author	Παναγιωτάκης, Γεώργιος Σ.	el
dc.date.accessioned	2015-01-21T10:28:59Z
dc.date.available	2015-01-21T10:28:59Z
dc.date.issued	2015-01-21
dc.identifier.uri	http://hdl.handle.net/11400/4413
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	[χ.ό.]	el
dc.subject	Flat panel displays
dc.subject	Indirect detector
dc.subject	Επίπεδη οθόνη
dc.subject	Έμμεσος ανιχνευτής
dc.title	Image quality in digital radiography	en
heal.type	journalArticle
heal.secondaryTitle	first results of an analytical modeling approach	en
heal.generalDescription	Scientific papers presented on the 3nd International Conference on Experiments/Process/System Modeling/Simulation & Optimization in Athens, 8-11 July, 2009	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2005001973
heal.identifier.secondary	ISSN 17905613
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.bibliographicCitation	Spyropoulou, V., Kalyvas, N., Gaitanis, A., Kandarakis, I. and Panayiotakis, G. (April 2010). Image quality in digital radiography: first results of an analytical modeling approach. e-Journal of Science & Technology. 5(2). pp. 55-62. Available from: http://e-jst.teiath.gr	en
heal.abstract	Any X-ray detector for medical imaging needs to serve the purpose of efficiently absorbing the impinging X-ray flux and converting it into a geometryconserving digital image signal. The detector used should be optimized for each X-ray imaging modality. The aim of this work was to develop an analytical model simulating an indirect flat panel digital detector which could be later utilized in Computed Tomography Breast Imaging and to evaluate 2-dimensional images produced by irradiating a software phantom consisting of different orthogonal structures (tumor and microcalcifications). The detector was modeled within the framework of the linear cascaded systems (LCS) theory. The image unsharpness as well as the statistical noise, where post introduced in the final image, by utilizing the Transfer Function and the Noise Power Spectrum derived from the LCS model. Phantom images of various exposures conditions were derived. It was observed that the structures of the phantom were more visible as the kV and tissue thickness increased. Finally the microcalcifications were distinguished more easily than the tumors.	en
heal.publisher	[χ.ό.]	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true