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

Simone Tassani, George K. Matsopoulos, Fabio Baruffaldi

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2035-2040
Number of pages6
JournalJournal of Biomechanics
Volume45
Issue number11
DOIs
Publication statusPublished - Jul 26 2012

Keywords

  • Fracture parameters
  • Image processing
  • Three-dimensional automatic registration
  • Trabecular bone
  • Trabecular fracture zone

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Biophysics
  • Biomedical Engineering

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