Figure of image quality and information capacity in digital mammography

dc.contributor.author	Μιχαήλ, Χρήστος Μ.	el
dc.contributor.author	Καλύβας, Νεκτάριος Ι.	el
dc.contributor.author	Βαλαής, Ιωάννης Γ.	el
dc.contributor.author	Φούντος, Ιωάννης Π.	el
dc.contributor.author	Φούντος, Γεώργιος Π.	el
dc.date.accessioned	2015-06-07T11:24:44Z
dc.date.available	2015-06-07T11:24:44Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15456
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://www.hindawi.com/	en
dc.subject	Shannon's information theory
dc.subject	Modulation Transfer Function
dc.subject	digital mammograms
dc.subject	ψηφιακές μαστογραφίες
dc.subject	Λειτουργία Διαμόρφωσης μεταγραφών
dc.subject	θεωρία της πληροφορίας του Shannon
dc.title	Figure of image quality and information capacity in digital mammography	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Medical physics
heal.classification	Ιατρική
heal.classification	Ιατρική φυσική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85083001
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική φυσική
heal.contributorName	Δημητρακόπουλος, Νικόλαος Δ.	el
heal.contributorName	Κουλουράς, Γρηγόριος Η.	el
heal.contributorName	Κανδρής, Διονύσιος-Ξενοφών	el
heal.contributorName	Σαμαράκου, Μαρία Τ.	el
heal.contributorName	Κανδαράκης, Ιωάννης Σ.	el
heal.identifier.secondary	DOI: 10.1155/2014/634856D
heal.language	en
heal.access	campus
heal.publicationDate	2014
heal.bibliographicCitation	MICHAIL, C.M., KALYVAS, N.I., VALAIS, I.G., FUDOS, I.P., FOUNTOS, G.P., et al. (2014). Figure of image quality and information capacity in digital mammography. BioMed Research International. [online] 2014. Available from: http://www.hindawi.com/	en
heal.abstract	Objectives. In this work, a simple technique to assess the image quality characteristics of the postprocessed image is developed and an easy to use figure of image quality (FIQ) is introduced. This FIQ characterizes images in terms of resolution and noise. In addition information capacity, defined within the context of Shannon's information theory, was used as an overall image quality index. Materials and Methods. A digital mammographic image was postprocessed with three digital filters. Resolution and noise were calculated via the Modulation Transfer Function (MTF), the coefficient of variation, and the figure of image quality. In addition, frequency dependent parameters such as the noise power spectrum (NPS) and noise equivalent quanta (NEQ) were estimated and used to assess information capacity. Results. FIQs for the "raw image" data and the image processed with the "sharpen edges" filter were found 907.3 and 1906.1, correspondingly. The information capacity values were 60.86 × 10 3 and 78.96 × 10 3 bits/mm2. Conclusion. It was found that, after the application of the postprocessing techniques (even commercial nondedicated software) on the raw digital mammograms, MTF, NPS, and NEQ are improved for medium to high spatial frequencies leading to resolving smaller structures in the final image.	en
heal.publisher	Hindawi Publishing Corporation	en
heal.journalName	BioMed Research International	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true