Automatic identification of trabecular bone fracture

dc.contributor.author	Tassani, Simone	en
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Baruffaldi, Fabio	en
dc.date.accessioned	2015-02-08T14:22:54Z
dc.date.available	2015-02-08T14:22:54Z
dc.date.issued	2015-02-08
dc.identifier.uri	http://hdl.handle.net/11400/5851
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://link.springer.com/	en
dc.subject	Bone fracture risk
dc.subject	Image registration
dc.subject	Κίνδυνος κατάγματος οστών
dc.subject	Εγγραφή εικόνας
dc.title	Automatic identification of trabecular bone fracture	el
heal.type	bookChapter
heal.generalDescription	Proceedings	en
heal.classification	Medicine
heal.classification	Ιατρική
heal.classification	Biomedical engineering
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007005742
heal.identifier.secondary	DOI 10.1007/978-3-642-13039-7_74
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2010
heal.bibliographicCitation	Tassani, S., Asvestas, P., Matsopoulos, G. and Baruffaldi, F. (2010). Automatic identification of trabecular bone fracture. In: XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010: May 27 – 30, 2010 Chalkidiki, Greece. Bamidis, P. and Pallikarakis, N. (eds.). IFMBE Proceedings. vol. 29. pp. 296-299. Springer Berlin Heidelberg. Available from: http://link.springer.com/	en
heal.abstract	The correct assessment of bone fracture risk is a mandatory issue for the application of efficient therapeutic scheme. However, it is still not clear which parameter can better predict the probability of a broken event. The correct identification of the fracture zone is a prerequisite in order to recognize the best parameter describing the bone failure. The in-vitro analysis of trabecular bone by means of micro tomographic devices (micro-CT) is a common technique for the study of bone structure. In this scenario image guide failure analysis is becoming a powerful tool for the characterization of trabecular bone mechanical behavior. In the present study the application of image registration techniques is proposed for the rapid and precise identification of the broken fracture. Five trabecular bone specimens were acquired by means of a micro-CT before and after the mechanical compression. The two datasets of every specimen were registered using a surface based automatic method and the broken region was identified as the only region not registered. The automatic procedure was finally validated comparing its results to the visual identification of three operators independently. The procedure resulted in complete agreement in 7 cases out of 10. For the three remaining cases, the operators had to compare their findings against the ones suggested by the automatic registration procedure. In all three cases, the operators had to correct their findings suggesting that the proposed automatic registration procedure was successfully performed and the identification of the fracture zone was correct. In conclusion, a novel procedure for the identification of trabecular bone fracture zone was presented and validated throughout this study.	en
heal.publisher	Springer Berlin Heidelberg	en
heal.fullTextAvailability	true
heal.bookName	XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010	en