Modeling detector performance in digital mammography using the
linear cascaded systems approach

dc.contributor.author	Σπυροπούλου, Βασιλική Α.	el
dc.contributor.author	Καλύβας, Νεκτάριος Ι.	el
dc.contributor.author	Γαϊτάνης, Αναστάσιος	el
dc.contributor.author	Μιχαήλ, Χρήστος Μ.	el
dc.contributor.author	Παναγιωτάκης, Γεώργιος Σ.	el
dc.date.accessioned	2015-01-21T09:58:53Z
dc.date.available	2015-01-21T09:58:53Z
dc.date.issued	2015-01-21
dc.identifier.uri	http://hdl.handle.net/11400/4404
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	Digital mammography
dc.subject	Imaging systems--Image quality--Congresses
dc.subject	Ψηφιακή μαστογραφία
dc.subject	Ποιότητα εικόνας
dc.title	Modeling detector performance in digital mammography using the linear cascaded systems approach	en
heal.type	journalArticle
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/sh2008123039
heal.contributorName	Κανδαράκης, Ιωάννης Σ.	el
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., Michail, C., Panayiotakis, G., et al. (2008). Modeling detector performance in digital mammography using the linear cascaded systems approach. e-Journal of Science & Technology. (8). pp. 51-57. Available from: http://e-jst.teiath.gr	en
heal.abstract	Digital x-ray mammography is a modern method for the early detection of breast cancer. The quality of a mammography image depends on various factors, the detector structure and performance being of primary importance. The aim of this work was to develop an analytical model simulating the imaging performance of a new commercially available digital mammography detector. This was achieved within the framework of the linear cascaded systems (LCS) theory. System analysis has allowed the estimation of important image quality metrics such as the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS), the Detective Quantum Efficiency (DQE) and the Signal to Noise Ratio (SNR). The detector was an indirect detection system consisting of a large area, 100μm thick, CsI:TI scintillator coupled to an active matrix array of amorphous silicon (a-Si:H) photodiodes combined with thin film transistors (TFT). Pixel size was 100μm, while the active pixel dimension was 70μm. MTF and DQE data were calculated for air kerma conditions of 25, 53, 67 μGy using a 28 kVp Mo-Mo x-ray spectrum. In addition, the scintillator thickness was changed in order to find the optimum material characteristics. The theoretical results were compared with published experimental data. The deviation between the theoretical and experimental MTF curves was less than 4%, while the DQE differences were found at an acceptable level.	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