A computer-based image analysis method for assessing the severity of hip joint osteoarthritis

dc.contributor.author	Μπονιάτης, Ιωάννης Σ.	el
dc.contributor.author	Κωσταρίδου, Έλενα	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Παναγιωτόπουλος, Ηλίας	el
dc.contributor.author	Παναγιωτάκης, Γεώργιος Σ.	el
dc.date.accessioned	2015-04-30T10:26:23Z
dc.date.available	2015-04-30T10:26:23Z
dc.date.issued	2015-04-30
dc.identifier.uri	http://hdl.handle.net/11400/9313
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/S0168900206015452	en
dc.subject	Osteoarthritis
dc.subject	Radiograph
dc.subject	Οστεοαρθρίτιδα
dc.subject	Ακτινογραφία
dc.title	A computer-based image analysis method for assessing the severity of hip joint osteoarthritis	en
heal.type	journalArticle
heal.generalDescription	Proceedings of the 3rd International Conference on Imaging Technologies in Biomedical Sciences-Innovation in Nuclear and Radiological Imaging: from Basic Research to Clinical Application.	en
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.identifier.secondary	doi:10.1016/j.nima.2006.08.095
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Boniatis, I., Costaridou, L., Cavouras, D., Panagiotopoulos, E. and Panayiotakis, G. (December 2006). A computer-based image analysis method for assessing the severity of hip joint osteoarthritis. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 569(2). pp. 610-613. Elsevier: 2006. Available from: http://www.sciencedirect.com/science/article/pii/S0168900206015452 [Accessed 18/09/2006]	en
heal.abstract	A computer-based image analysis method was developed for assessing the severity of hip osteoarthritis (OA). Eighteen pelvic radiographs of patients with verified unilateral hip OA, were digitized and enhanced employing custom developed software. Two ROIs corresponding to osteoarthritic and contralateral-physiological radiographic Hip Joint Spaces (HJSs) were determined on each radiograph. Textural features were extracted from the HJS-ROIs utilizing the run-length matrices and Laws textural measures. A k-Nearest Neighbour based hierarchical tree structure was designed for classifying hips into three OA severity categories labeled as “Normal”, “Mild/Moderate”, and “Severe”. Employing the run-length features, the overall classification accuracy of the hierarchical tree structure was 86.1%. The utilization of Laws’ textural measures improved the system classification performance, providing an overall classification accuracy of 94.4%. The proposed method maybe of value to physicians in assessing the severity of hip OA.	en
heal.publisher	Elsevier	en
heal.journalName	Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true