Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4413
Title: Image quality in digital radiography
Alternative title / Subtitle: first results of an analytical modeling approach
Authors: Σπυροπούλου, Βασιλική Α.
Καλύβας, Νεκτάριος Ι.
Γαϊτάνης, Αναστάσιος
Κανδαράκης, Ιωάννης Γ.
Παναγιωτάκης, Γεώργιος Σ.
Item type: Journal article
Keywords: Flat panel displays;Indirect detector;Επίπεδη οθόνη;Έμμεσος ανιχνευτής
Subjects: Medicine
Medical technology
Ιατρική
Ιατρική τεχνολογία
Issue Date: 21-Jan-2015
Date of availability: 21-Jan-2015
Publisher: [χ.ό.]
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.
Description: Scientific papers presented on the 3nd International Conference on Experiments/Process/System Modeling/Simulation & Optimization in Athens, 8-11 July, 2009
Language: English
Citation: 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
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/11400/4413
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