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Image interpolation allows accurate quantitative bone morphometry in registered micro-computed tomography scans.
- Source :
-
Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2014 Apr; Vol. 17 (5), pp. 539-48. Date of Electronic Publication: 2012 Jun 29. - Publication Year :
- 2014
-
Abstract
- Time-lapsed in vivo micro-computed tomography is a powerful tool to analyse longitudinal changes in the bone micro-architecture. Registration can overcome problems associated with spatial misalignment between scans; however, it requires image interpolation which might affect the outcome of a subsequent bone morphometric analysis. The impact of the interpolation error itself, though, has not been quantified to date. Therefore, the purpose of this ex vivo study was to elaborate the effect of different interpolator schemes [nearest neighbour, tri-linear and B-spline (BSP)] on bone morphometric indices. None of the interpolator schemes led to significant differences between interpolated and non-interpolated images, with the lowest interpolation error found for BSPs (1.4%). Furthermore, depending on the interpolator, the processing order of registration, Gaussian filtration and binarisation played a role. Independent from the interpolator, the present findings suggest that the evaluation of bone morphometry should be done with images registered using greyscale information.
Details
- Language :
- English
- ISSN :
- 1476-8259
- Volume :
- 17
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Computer methods in biomechanics and biomedical engineering
- Publication Type :
- Academic Journal
- Accession number :
- 22746535
- Full Text :
- https://doi.org/10.1080/10255842.2012.699526