Cdmam_Fit_3

dc.contributor.author	Κωνσταντινίδης, Αναστάσιος Χ.	el
dc.date.accessioned	2015-02-14T14:39:42Z
dc.date.available	2015-02-14T14:39:42Z
dc.date.issued	2015-02-14
dc.identifier.uri	http://hdl.handle.net/11400/6249
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://e-jst.teiath.gr/	en
dc.subject	MATLAB-based Graphical User Interface
dc.subject	Contrast-Detail Analysis
dc.subject	Mammography
dc.subject	CDMAM Phantom
dc.subject	Image quality
dc.subject	Μαστογραφία
dc.subject	Ανάλυση Αντίθεσης-Λεπτομέρειας
dc.subject	Ποιότητα εικόνας
dc.title	Cdmam_Fit_3	en
heal.type	journalArticle
heal.secondaryTitle	a graphical user interface for mammographic contrast-detail analysis	en
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.language	en
heal.access	free
heal.publicationDate	2014
heal.bibliographicCitation	Konstantinidis, A.C. (2014). Cdmam_Fit_3: a graphical user interface for mammographic contrast-detail analysis. "e-Journal of Science & Technology". [Online] 9(3): 19-27. Available from: http://e-jst.teiath.gr/	en
heal.abstract	According to the European Guidelines for quality control in digital mammography, mammographic image quality is expressed in terms of threshold contrast visibility using clinical exposure settings. The threshold contrast is defined as the lowest contrast value for which the objects are visible. The Contrast-Detail MAMmography (CDMAM) phantom is commonly used for the contrast-detail analysis, i.e. the detection of small thickness and low contrast objects. An automated scoring software tool (called CDCOM) was recently developed to evaluate the CDMAM radiographs. However, the CDCOM program does not determine the threshold contrast and further analysis is required by the user. This work presents a MATLAB-based graphical user interface (GUI), called CDMAM_fit_3, that a) reads and converts the original CDCOM data to a probability matrix, b) applies a psychometric curve fit to the data, c) predicts the human readout, d) compares the predicted results with the acceptable and achievable limits (provided by the European Guidelines) and e) saves the output data in various formats (i.e. txt, csv, xls, xlsx and xlsm). An executable version of the CDMAM_fit_3 can be used by the user without any programming and data processing knowledge.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true