3D identification of trabecular bone fracture zone using an automatic image registration scheme: A validation study

Tassani, S; Matsopoulos, GK; Baruffaldi, F

dc.contributor.author	Tassani, S	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Baruffaldi, F	en
dc.date.accessioned	2014-03-01T02:07:11Z
dc.date.available	2014-03-01T02:07:11Z
dc.date.issued	2012	en
dc.identifier.issn	00219290	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29528
dc.subject	Fracture parameters	en
dc.subject	Image processing	en
dc.subject	Three-dimensional automatic registration	en
dc.subject	Trabecular bone	en
dc.subject	Trabecular fracture zone	en
dc.subject.other	Automatic identification	en
dc.subject.other	Automatic image registration	en
dc.subject.other	Automatic registration	en
dc.subject.other	Data sets	en
dc.subject.other	Failure assessment	en
dc.subject.other	Fracture parameter	en
dc.subject.other	Fracture zone	en
dc.subject.other	In-vitro	en
dc.subject.other	Large-scale analysis	en
dc.subject.other	Local fractures	en
dc.subject.other	Mechanical compression	en
dc.subject.other	Micro CT	en
dc.subject.other	Registration scheme	en
dc.subject.other	Trabecular bones	en
dc.subject.other	Validation study	en
dc.subject.other	Visual identification	en
dc.subject.other	Visual process	en
dc.subject.other	Automation	en
dc.subject.other	Bone	en
dc.subject.other	Computerized tomography	en
dc.subject.other	Fracture	en
dc.subject.other	Image processing	en
dc.subject.other	Three dimensional	en
dc.subject.other	article	en
dc.subject.other	calculation	en
dc.subject.other	comparative study	en
dc.subject.other	diagnostic accuracy	en
dc.subject.other	fracture	en
dc.subject.other	human	en
dc.subject.other	human tissue	en
dc.subject.other	image analysis	en
dc.subject.other	image display	en
dc.subject.other	image quality	en
dc.subject.other	micro-computed tomography	en
dc.subject.other	observer variation	en
dc.subject.other	priority journal	en
dc.subject.other	qualitative research	en
dc.subject.other	three dimensional imaging	en
dc.subject.other	trabecular bone	en
dc.subject.other	trabecular bone fracture	en
dc.subject.other	validation study	en
dc.subject.other	validity	en
dc.title	3D identification of trabecular bone fracture zone using an automatic image registration scheme: A validation study	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jbiomech.2012.05.019	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jbiomech.2012.05.019	en
heal.publicationDate	2012	en
heal.abstract	Accurate identification of the local fracture zone is an important step towards the failure assessment of trabecular bone. In previous in-vitro studies, local fracture zones were visually identified in micro-CT images by experienced observers. This is a time-consuming and observer-dependent approach and it prevents any large-scale analysis of local trabecular fracture regions. The scope of this study is the application and validation of a new registration scheme for the automatic identification of trabecular bone fracture zones. Six human trabecular specimens were extracted from different anatomical sites. Five specimens were mechanically tested and scanned using micro-CT. For each specimen pre- and post-failure micro-CT datasets were obtained. The sixth specimen was scanned twice without any mechanical compression and was used to test the accuracy of the proposed scheme. The registration scheme was applied to the acquired datasets for the automatic identification of the fracture zone. The proposed scheme comprises of a three-dimensional (3D) automatic registration method to define the differences between the two datasets, and the application of a criterion for defining slices of the pre-failure dataset as ""broken"" or ""unbroken"". Identifications of the fracture zones were qualitatively validated against visual identification of observers. Furthermore, ""full 3D"" fracture zone identification, based on the presented scheme, was proposed. The proposed scheme proved to be more accurate and significantly faster than the currently used visual process. © 2012 Elsevier Ltd.	en
heal.journalName	Journal of Biomechanics	en
dc.identifier.doi	10.1016/j.jbiomech.2012.05.019	en
dc.identifier.volume	45	en
dc.identifier.issue	11	en
dc.identifier.spage	2035	en
dc.identifier.epage	2040	en