Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of Magnetic Resonance images

dc.contributor.author	Θεοχαράκης, Παντελής	el
dc.contributor.author	Γκλώτσος, Δημήτριος	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Γεωργιάδης, Παντελής	el
dc.date.accessioned	2015-05-03T12:08:39Z
dc.date.available	2015-05-03T12:08:39Z
dc.date.issued	2015-05-03
dc.identifier.uri	http://hdl.handle.net/11400/9560
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.sciencedirect.com/science/article/pii/S0730725X08002592	en
dc.subject	Multiple sclerosis
dc.subject	Diagnosis, Differential
dc.subject	Σκλήρυνση κατά πλάκας
dc.subject	Διαφορική διάγνωση
dc.title	Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of Magnetic Resonance images	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Biomedical engineering
heal.classification	Ιατρική
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85088374
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85037493
heal.contributorName	Σηφάκη, Κοραλία	el
heal.contributorName	Τσακουρίδου, Κατερίνα	el
heal.contributorName	Μάλαμας, Μενέλαος	el
heal.contributorName	Δελήμπασης, Κωνσταντίνος Κ.	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.contributorName	Νικηφορίδης, Γεώργιος Χ.	el
heal.identifier.secondary	doi:10.1016/j.mri.2008.07.014
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Theocharakis, P., Glotsos, D., Kalatzis, I., Kostopoulos, S., Georgiadis, P., et al. (April 2009). Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of Magnetic Resonance images. Magnetic Resonance Imaging. 27(3). pp. 417-422. Elsevier Inc: 2009. Available from: http://www.sciencedirect.com/science/article/pii/S0730725X08002592 [Accessed 11/09/2008]	en
heal.abstract	In this study, a pattern recognition system has been developed for the discrimination of multiple sclerosis (MS) from cerebral microangiopathy (CM) lesions based on computer-assisted texture analysis of magnetic resonance images. Twenty-three textural features were calculated from MS and CM regions of interest, delineated by experienced radiologists on fluid attenuated inversion recovery images and obtained from 11 patients diagnosed with clinically definite MS and from 18 patients diagnosed with clinically definite CM. The probabilistic neural network classifier was used to construct the proposed pattern recognition system and the generalization of the system to unseen data was evaluated using an external cross validation process. According to the findings of the present study, statistically significant differences exist in the values of the textural features between CM and MS: MS regions were darker, of higher contrast, less homogeneous and rougher as compared to CM.	en
heal.publisher	Elsevier Inc	en
heal.journalName	Magnetic Resonance Imaging	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true