Cited by 12Bone health and osteoporosis researchMedical Image Segmentation TechniquesMedical Imaging and Analysis

European Society of Biomechanics S.M. Perren Award 2008: Using temporal trends of 3D bone micro-architecture to predict bone quality

Pauchard, Yves, Mattmann, Corinne, Kuhn, Andreas, Gasser, Jürg A., Boyd, Steven K.·2008·Journal of Biomechanics

Abstract

In longitudinal studies, three-dimensional (3D) bone images are acquired at sequential time points essentially resulting in four-dimensional (4D) data for an individual. Based on the 4D data, we propose to calculate temporal trends and project these trends to estimate future bone architecture. Multiple consecutive deformation fields, calculated with Demons deformable image registration algorithm, were extrapolated on a voxel-by-voxel basis. Test data were from in vivo micro-computed tomography (microCT) scans of the proximal tibia of Wistar rats that were either ovariectomized (OVX; N=5) or sham operated (SHAM; N=6). Measurements performed at baseline, 4 and 8 weeks were the basis to predict the 12 week data. Predicted and actual 12 week data were compared using qualitative (3D rendering) and quantitative (geometry, morphology and micro-finite element, microFE) methods. The results indicated a voxel-based linear extrapolation scheme yielded mean geometric errors that were smaller than the voxel size of 15 microm. Key morphological parameters that were estimated included bone volume ratio (BV/TV; mean error 0.4%, maximum error 9%), trabecular thickness (Tb.Th; -1.1%, 11%), connectivity density (Conn.D; 9.0%, 18.5%) and the apparent Young's modulus (E(1); 6.0%, 32%). These data demonstrated a promising and novel approach for quantitatively capturing in vivo bone dynamics at the local trabecular level. The method does not require an a priori understanding of the diseases state, and can provide information about the trends of the bone remodeling process that may be used for better monitoring and treatment of diseases such as osteoporosis.

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Crossref · 10.1016/j.jbiomech.2008.07.036

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  • These distributions have been correlated with microdamage accumulation, bone formation/resorption, and bone failure.

    “These distributions have been correlated with microdamage accumulation (105), bone formation/resorption (135), and bone failure (112).”

    From Bone Mechanical Properties in Healthy and Diseased States (2018) · cites this paper as [135]

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Authors
Pauchard, Y., Mattmann, C., Kuhn, A., Gasser, J. A., & Boyd, S. K.
Affiliations
  • University of Calgary (CA)
  • ETH Zurich (CH)
  • Novartis Institutes for BioMedical Research (CH)
Corresponding author
Boyd, Steven K.
Venue
Journal of Biomechanics
Publisher
Elsevier BV
Published
2008-10
Volume
41
Issue
14
Pages
2946-2953
ISSN
0021-9290 (ISSN-L)
OpenAlex
W1975104534
Cited by
12
References
35
Citations by year
2021: 2 · 2019: 1 · 2018: 1 · 2015: 1 · 2014: 1 · 2013: 2 · 2012: 1
FWCI
0.95
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Biomechanics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Alberta Heritage Foundation for Medical Research
  • Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
Keywords
bone microarchitecture, temporal trends, deformable image registration, Demons algorithm, bone remodeling, trabecular bone, ovariectomy, osteoporosis, micro-computed tomography, micro-finite element analysis, apparent Young's modulus, connectivity density, trabecular thickness
MeSH terms
Animals, Awards and Prizes, Biomechanical Phenomena, Computer Simulation, Europe, Female, Models, Biological, Radiographic Image Interpretation, Computer-Assisted, Tibia, Bone Density, Rats, Wistar, Imaging, Three-Dimensional, Shear Strength, Rats, Elastic Modulus

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