Modelling the imaging performance and low contrast detectability in digital mammography

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	2015-01-18T10:54:36Z
dc.date.available	2015-01-18T10:54:36Z
dc.date.issued	2015-01-18
dc.identifier.uri	http://hdl.handle.net/11400/4187
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://iopscience.iop.org/	en
dc.subject	X-ray detectors
dc.subject	Simulation methods and programs
dc.subject	Ανιχνευτές ακτίνων-Χ
dc.subject	Μέθοδοι και προγράμματα προσομοίωσης
dc.title	Modelling the imaging performance and low contrast detectability in digital mammography	en
heal.type	journalArticle
heal.generalDescription	Part of 4th International Conference on Imaging Technologies in Biomedical Sciences	en
heal.classification	Medicine
heal.classification	Physics
heal.classification	Ιατρική
heal.classification	Φυσική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02994
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Φυσική
heal.contributorName	Κανδαράκης, Ιωάννης Σ.	el
heal.identifier.secondary	doi:10.1088/1748-0221/4/06/P06004
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Spyropoulou, V., Kalyvas, N., Gaitanis, A., Michail, C., Panayiotakis, G., et al. (June 2009). Modelling the imaging performance and low contrast detectability in digital mammography. Journal of Instrumentation. 4(6). pp. 1-5. IOP Publishing Ltd. Available from: http://iopscience.iop.org	en
heal.abstract	A 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) and the Detective Quantum Efficiency (DQE). 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. 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. The model was also used to estimate system's capability to detect low contrast objects in the breast. It was estimated that, in the breast gland, low contrast structures larger than 1.4mm can be adequately identified by the above system.	en
heal.publisher	IOP Publishing Ltd	en
heal.journalName	Journal of Instrumentation	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true