Quantitative assessment of hip osteoarthritis based on image texture  analysis

dc.contributor.author	Μπονιάτης, Ιωάννης Σ.	el
dc.contributor.author	Κωσταρίδου, Ελένη	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Παναγιωτόπουλος, Ηλίας	el
dc.contributor.author	Παναγιωτάκης, Γεώργιος Σ.	el
dc.date.accessioned	2015-04-30T10:06:00Z
dc.date.issued	2015-04-30
dc.identifier.uri	http://hdl.handle.net/11400/9312
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.birpublications.org/doi/abs/10.1259/bjr/87956832?journalCode=bjr	en
dc.subject	Osteoarthritis
dc.subject	Digital image texture analysis
dc.subject	Οστεοαρθρίτιδα
dc.subject	Ψηφιακή εικονική ανάλυση υφής
dc.title	Quantitative assessment of hip osteoarthritis based on image texture analysis	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.identifier.secondary	DOI: http://dx.doi.org/10.1259/bjr/87956832
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
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. (2006). Quantitative assessment of hip osteoarthritis based on image texture analysis. The British Journal of Radiology. 79(939). pp. 232-238. British Institute of Radiology: 2006.	en
heal.abstract	A non-invasive method was developed to investigate the potential capacity of digital image texture analysis in evaluating the severity of hip osteoarthritis (OA) and in monitoring its progression. 19 textural features evaluating patterns of pixel intensity fluctuations were extracted from 64 images of radiographic hip joint spaces (HJS), corresponding to 32 patients with verified unilateral or bilateral OA. Images were enhanced employing custom developed software for the delineation of the articular margins on digitized pelvic radiographs. The severity of OA for each patient was assessed by expert orthopaedists employing the Kellgren and Lawrence (KL) scale. Additionally, an index expressing HJS-narrowing was computed considering patients from the unilateral OA-group. A textural feature that quantified pixel distribution non-uniformity (grey level non-uniformity, GLNU) demonstrated the strongest correlation with the HJS-narrowing index among all extracted features and utilized in further analysis. Classification rules employing GLNU feature were introduced to characterize a hip as normal or osteoarthritic and to assign it to one of three severity categories, formed in accordance with the KL scale. Application of the proposed rules resulted in relatively high classification accuracies in characterizing a hip as normal or osteoarthritic (90.6%) and in assigning it to the correct KL scale category (88.9%). Furthermore, the strong correlation between the HJS-narrowing index and the pathological GLNU (r = −0.9, p<0.001) was utilized to provide percentages quantifying hip OA-severity. Texture analysis may contribute in the quantitative assessment of OA-severity, in the monitoring of OA-progression and in the evaluation of a chondroprotective therapy.	en
heal.publisher	British Institute of Radiology	en
heal.journalName	British Journal of Radiology	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false