Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/6281
Title: Assessment of the impact of dark signal on image quality in computerized mammography
Authors: Βαλάση, Αλεξία
Αργυρού, Μαρία
Φλώρος, Ιωάννης
Μολυβδά-Αθανασοπούλου, Ελισάβετ
Σιούντας, Αναστάσιος
Contributors: Συνεφιά, Στέλλα
Βαμβακάς, Ιωάννης
Λύρα, Μαρία
Item type: Conference publication
Keywords: Computerized mammography;Dark signal;SNR;CNR;CR;Μηχανογραφημένη μαστογραφία;Σκοτεινό σήμα
Subjects: Medicine
Medical physics
Ιατρική
Ιατρική φυσική
Issue Date: 14-Feb-2015
2014
Date of availability: 14-Feb-2015
Publisher: Νερατζής, Ηλίας
Σιανούδης, Ιωάννης
Βαλαής, Ιωάννης Γ.
Φούντος, Γεώργιος Π.
Abstract: The aim of this study is to examine the impact of dark signal on assessing the image quality in computerized mammography. A GE analogue mammography unit was calibrated to be used with an Agfa CR35-X system. Tests for quality control were performed and Image Plates (IPs) were erased by the CR system. All IPs were first exposed to known amounts of scatter radiation and then used to take mammographic images of phantoms with varying density (a PASMAM-1054 Phantom with PMMA and Al inserts). Since high Signal-to-noise ratio (SNR) and high Contrast-to-noise ratio (CNR) are of great importance in mammographic image quality, we measured SNR and CNR of the taken images. Our results show the effect of scatter radiation on SNR and CNR. Scatter radiation increases SNR and decreases CNR. The impact of background signal was found not to be negligible. Dark signal deteriorates image quality in CR mammography. Consequently, further investigation may be warranted and daily erasure of the IPs is recommended in order to limit dark signal effect on image quality.
Description: Special issue: 2nd Conference on Bio-Medical Instrumentation and related Engineering And Physical Sciences, Technological Educational Institute of Athens, Athens, 21 & 22 June 2013.
Language: English
Citation: Valasi, A., Argyrou, M., Floros, I., Molyvda-Athanasopoulou, E., Siountas, A., et al. (2014). Assessment of the impact of dark signal on image quality in computerized mammography. "e-Journal of Science & Technology". [Online] 9(4): 69-77. Available from: http://e-jst.teiath.gr/
Journal: e-Περιοδικό Επιστήμης & Τεχνολογίας
e-Journal of Science & Technology
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/6281
Appears in Collections:Τόμος 09, τεύχος 4 (2014)

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