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Automatic identification of trabecular bone fracture

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dc.contributor.author Tassani, S en
dc.contributor.author Asvestas, PA en
dc.contributor.author Matsopoulos, GK en
dc.contributor.author Baruffaldi, F en
dc.date.accessioned 2014-03-01T02:52:34Z
dc.date.available 2014-03-01T02:52:34Z
dc.date.issued 2010 en
dc.identifier.issn 16800737 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35938
dc.subject Bone fracture risk en
dc.subject fracture identification en
dc.subject image registration en
dc.subject micro-CT en
dc.subject.other Automatic identification en
dc.subject.other Automatic method en
dc.subject.other Automatic procedures en
dc.subject.other Automatic registration en
dc.subject.other Before and after en
dc.subject.other Bone failures en
dc.subject.other Bone fracture en
dc.subject.other Bone structure en
dc.subject.other Data sets en
dc.subject.other fracture identification en
dc.subject.other Fracture zone en
dc.subject.other Image guides en
dc.subject.other Image registration techniques en
dc.subject.other In-vitro analysis en
dc.subject.other Mechanical behavior en
dc.subject.other Mechanical compression en
dc.subject.other Micro CT en
dc.subject.other Surface-based en
dc.subject.other Tomographic en
dc.subject.other Trabecular bones en
dc.subject.other Visual identification en
dc.subject.other Automation en
dc.subject.other Biochemical engineering en
dc.subject.other Bone en
dc.subject.other Computerized tomography en
dc.subject.other Electronic data interchange en
dc.subject.other Failure analysis en
dc.subject.other Identification (control systems) en
dc.subject.other Image registration en
dc.subject.other Mammals en
dc.subject.other Medical computing en
dc.subject.other Metamorphic rocks en
dc.subject.other Quality assurance en
dc.subject.other Fracture en
dc.title Automatic identification of trabecular bone fracture en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-13039-7_74 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-13039-7_74 en
heal.publicationDate 2010 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. © 2010 International Federation for Medical and Biological Engineering. en
heal.journalName IFMBE Proceedings en
dc.identifier.doi 10.1007/978-3-642-13039-7_74 en
dc.identifier.volume 29 en
dc.identifier.spage 296 en
dc.identifier.epage 299 en


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