Evaluation of in-vivo measurement errors associated with micro-computed tomography scans by means of the bone surface distance approach

Yongtao Lu, Maya Boudiffa, Enrico Dall'Ara, Ilaria Bellantuono, Marco Viceconti

Research output: Contribution to journalArticlepeer-review

Abstract

In vivo micro-computed tomography (μCT) scanning is an important tool for longitudinal monitoring of the bone adaptation process in animal models. However, the errors associated with the usage of in vivo μCT measurements for the evaluation of bone adaptations remain unclear. The aim of this study was to evaluate the measurement errors using the bone surface distance approach. The right tibiae of eight 14-week-old C57BL/6 J female mice were consecutively scanned four times in an in vivo μCT scanner using a nominal isotropic image voxel size (10.4 μm) and the tibiae were repositioned between each scan. The repeated scan image datasets were aligned to the corresponding baseline (first) scan image dataset using rigid registration and a region of interest was selected in the proximal tibia metaphysis for analysis. The bone surface distances between the repeated and the baseline scan datasets were evaluated. It was found that the average (±standard deviation) median and 95th percentile bone surface distances were 3.10 ± 0.76 μm and 9.58 ± 1.70 μm, respectively. This study indicated that there were inevitable errors associated with the in vivo μCT measurements of bone microarchitecture and these errors should be taken into account for a better interpretation of bone adaptations measured with in vivo μCT.

Original languageEnglish
Pages (from-to)1091-1097
Number of pages7
JournalMedical Engineering and Physics
Volume37
Issue number11
DOIs
Publication statusPublished - 2015

Keywords

  • Bone adaptation
  • Bone surface distance
  • In vivo μCT
  • Mouse tibia
  • Repeated scans

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biophysics

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