Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space

dc.contributor.author	Μπονιάτης, Ιωάννης Σ.	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Κωσταρίδου, Έλενα	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.contributor.author	Παναγιωτόπουλος, Ηλίας	el
dc.date.accessioned	2015-05-03T08:37:59Z
dc.date.available	2015-05-03T08:37:59Z
dc.date.issued	2015-05-03
dc.identifier.uri	http://hdl.handle.net/11400/9525
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/S0010482507000996	en
dc.subject	Osteoarthritis
dc.subject	Classification--Archives
dc.subject	Οστεοαθρίτιδα
dc.subject	Ταξινόμηση
dc.title	Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space	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/sh85095960
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85026720
heal.contributorName	Παναγιωτάκης, Γεώργιος Σ.	el
heal.identifier.secondary	doi:10.1016/j.compbiomed.2007.05.005
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2007
heal.bibliographicCitation	Boniatis, I., Cavouras, D., Costaridou, L., Kalatzis, I., Panagiotopoulos, E., et al. (December 2007). Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space. Computers in Biology and Medicine. 37(12). pp. 1786-1795. Elsevier B.V: 2007. Available from: http://www.sciencedirect.com/science/article/pii/S0010482507000996 [Accessed 10/07/2007]	en
heal.abstract	A computer-based system was designed for the grading and quantification of hip osteoarthritis (OA) severity. Employing an active-contours segmentation model, 64 hip joint space (HJS) images (18 normal, 46 osteoarthritic) were obtained from the digitized radiographs of 32 unilateral and bilateral OA-patients. Shape features, generated from the HJS-images, and a hierarchical decision tree structure was used for the grading of OA. A shape features based regression model quantified the OA-severity. The system accomplished high accuracies in characterizing hips as “Normal” (100%), of “mild/moderate”-OA (93.8%) or “severe”-OA (96.7%). OA-severity values, as expressed by HJS-narrowing, correlated highly (r=0.9,p<0.001) with the values predicted by the regression model. The system may contribute to OA-patient management.	en
heal.publisher	Elsevier B.V.	en
heal.journalName	Computers in Biology and Medicine	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true