Journal of Medical and Biological Engineering

, Volume 36, Issue 1, pp 96–104

Trabecular Bone Morphological Analysis for Preclinical Osteoporosis Application Using Micro Computed Tomography Scanner

  • David Shih-Chun Jin
  • Chien-Hao Chu
  • Jyh-Cheng Chen
Original Article
  • 102 Downloads

Abstract

Trabecular bone morphological parameter (TMP) analysis with micro computed tomography (micro-CT) has been used to evaluate the risk of fracture of osteoporosis in small animals. Many researchers have pointed out the drawback of making decisions based on bone mineral density only due to the lack of morphological information. Our study describes the application of a laboratory micro-CT system and a self-designed TMP algorithm combined with two statistical methodological tools for the evaluation of the artificially induced animal model by the ovariectomy (OVX) surgery process. The results show that the percentage bone volume (BV/TV), the trabecular properties thickness (TbTh), number (TbN), and separation (TbSp) have significant differences between the normal and OVX groups. TbTh and TbSp had very low p-values and are associated with bone loss caused by osteoporosis. The method can be used to early detect osteoporosis to prevent the risk of fracture in aging small animals.

Keywords

Three-dimensional segmentation Bone mineral density (BMD) Biomedical image analysis Osteoporosis Trabecular bone morphological parameters (TMPs) 

References

  1. 1.
    Dempster, D. W. (2003). Bone microarchitecture and strength. Osteoporosis International, 14, S54–S56.CrossRefGoogle Scholar
  2. 2.
    Lespessailles, E., Chappard, C., Bonnet, N., & Benhamou, C. L. (2006). Imaging techniques for evaluating bone microarchitecture. Joint Bone Spine, 73, 254–261.CrossRefGoogle Scholar
  3. 3.
    Yu C.-K. (2009). Development and applications of a fully automatic quantitative image analysis system for a home-made micro-computed tomography. Master, Master Thesis of the Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei.Google Scholar
  4. 4.
    Ulrich, D., van Rietbergen, B., Laib, A., & Ruegsegger, P. (1999). The ability of three-dimensional structural indices to reflect mechanical aspects of trabecular bone. Bone, 25, 55–60.CrossRefGoogle Scholar
  5. 5.
    Parfitt, A. M., Drezner, M. K., Glorieux, F. H., Kanis, J. A., Malluche, H., Meunier, P. J., et al. (1987). Bone histomorphometry: standardization of nomenclature, symbols, and units. Report of the ASBMR histomorphometry nomenclature committee. Journal of Bone and Mineral Research, 2, 595–610.CrossRefGoogle Scholar
  6. 6.
    Hildebrand, T., & Rüegsegger, P. (1997). A new method for the model-independent assessment of thickness in three-dimensional images. Journal of Microscopy, 185, 67–75.CrossRefGoogle Scholar
  7. 7.
    Prior, J. C., Vigna, Y. M., Wark, J. D., Eyre, D. R., Lentle, B. C., Li, D. K., et al. (1997). Premenopausal ovariectomy-related bone loss: A randomized, double-blind, one-year trial of conjugated estrogen or medroxyprogesterone acetate. Journal of Bone and Mineral Research, 12, 1851–1863.CrossRefGoogle Scholar
  8. 8.
    Dalle, Carbonare L., Valenti, M., Bertoldo, F., Zanatta, M., Zenari, S., Realdi, G., et al. (2005). Bone microarchitecture evaluated by histomorphometry. Micron, 36, 609–616.CrossRefGoogle Scholar
  9. 9.
    Lane, N. E., Yao, W., Kinney, J. H., Modin, G., Balooch, M., & Wronski, T. J. (2003). Both hPTH (1–34) and bFGF increase trabecular bone mass in osteopenic rats but they have different effects on trabecular bone architecture. Journal of Bone and Mineral Research, 18, 2105–2115.CrossRefGoogle Scholar
  10. 10.
    Tivesten, Å., Movérare-Skrtic, S., Chagin, A., Venken, K., Salmon, P., Vanderschueren, D., et al. (2004). Additive protective effects of estrogen and androgen treatment on trabecular bone in ovariectomized rats. Journal of Bone and Mineral Research, 19, 1833–1839.CrossRefGoogle Scholar
  11. 11.
    Valentinitsch, A., Patsch, J. M., Deutschmann, J., Schueller-Weidekamm, C., Resch, H., Kainberger, F., & Langs, G. (2012). Automated threshold-independent cortex segmentation by 3D-texture analysis of HR-pQCT scans. Bone, 51, 480–487.CrossRefGoogle Scholar
  12. 12.
    Klintström, E., Smedby, Ö., Moreno, R., & Brismar, T. B. (2014). Trabecular bone structure parameters from 3D image processing of clinical multi-slice and cone-beam computed tomography data. Skeletal Radiology, 43, 197–204.CrossRefGoogle Scholar
  13. 13.
    Zebaze, R., Ghasem-Zadeh, A., Mbala, A., & Seeman, E. (2013). A new method of segmentation of compact-appearing, transitional and trabecular compartments and quantification of cortical porosity from high resolution peripheral quantitative computed tomographic images. Bone, 54, 8–20.CrossRefGoogle Scholar
  14. 14.
    Janc, K., Tarasiuk, J., Bonnet, A., & Lipinski, P. (2013). Genetic algorithms as a useful tool for trabecular and cortical bone segmentation. Computer Methods and Programs in Biomedicine, 111, 72–83.CrossRefGoogle Scholar
  15. 15.
    Yu C.-K. & Chen J.-C. (2009). Development and applications of a fully automatic and quantitative image analysis system for a home-made micro-computed tomography. In Society of nuclear medicine annual meeting abstracts, p 1431.Google Scholar
  16. 16.
    Otsu, N. (1975). A threshold selection method from gray-level histograms. Automatica, 11, 23–27.Google Scholar
  17. 17.
    Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2010). Digital image processing using MATLAB. New Delhi: Tata McGraw Hill Education.Google Scholar
  18. 18.
    Mandelbrot, B. B. (1983). The fractal geometry of nature (1st ed.). New York: WH Freeman and Co.MATHGoogle Scholar
  19. 19.
    Sijbers, J., & Postnov, A. (2004). Reduction of ring artefacts in high resolution micro-CT reconstructions. Physics in Medicine & Biology, 49, N247.CrossRefGoogle Scholar
  20. 20.
    Atiquzzaman, M. (1992). Multiresolution hough transform-an efficient method of detecting patterns in images. IEEE Transactions on Pattern Analysis & Machine Intelligence, 14, 1090–1095.CrossRefGoogle Scholar
  21. 21.
    Ito, M., Nishida, A., Nakamura, T., Uetani, M., & Hayashi, K. (2002). Differences of three-dimensional trabecular microstructure in osteopenic rat models caused by ovariectomy and neurectomy. Bone, 30, 594–598.CrossRefGoogle Scholar
  22. 22.
    Callewaert, F., Venken, K., Ophoff, J., De Gendt, K., Torcasio, A., van Lenthe, G. H., et al. (2009). Differential regulation of bone and body composition in male mice with combined inactivation of androgen and estrogen receptor-α. The FASEB Journal, 23, 232–240.CrossRefGoogle Scholar
  23. 23.
    Salmon, P. (2004). Loss of chaotic trabecular structure in OPG-deficient juvenile Paget’s disease patients indicates a chaogenic role for OPG in nonlinear pattern formation of trabecular bone. Journal of Bone and Mineral Research, 19, 695–702.CrossRefGoogle Scholar
  24. 24.
    Mazess, R. B., & Barden, H. (1999). Bone density of the spine and femur in adult white females. Calcified Tissue International, 65, 91–99.CrossRefGoogle Scholar
  25. 25.
    Kuhn, J. L., Goldstein, S. A., Choi, K., London, M., Feldkamp, L. A., & Matthews, L. S. (1989). Comparison of the trabecular and cortical tissue moduli from human iliac crests. Journal of Orthopaedic Research, 7, 876–884.CrossRefGoogle Scholar
  26. 26.
    Rosen, C. J., Compston, J. E., & Lian, J. B. (2009). Primer on the metabolic bone diseases and disorders of mineral metabolism. Hoboken: Wiley.Google Scholar
  27. 27.
    Ulrich, D., Hildebrand, T., Van Rietbergen, B., Muller, R., & Ruegsegger, P. (1997). The quality of trabecular bone evaluated with micro-computed tomography, FEA and mechanical testing. Studies in Health Technology and Informatics, 40, 97–112.Google Scholar
  28. 28.
    Currey, J. D. (2003). Role of collagen and other organics in the mechanical properties of bone. Osteoporosis International, 14, S29–S36.CrossRefGoogle Scholar
  29. 29.
    Kopperdahl, D. L., & Keaveny, T. M. (1998). Yield strain behavior of trabecular bone. Journal of Biomechanics, 31, 601–608.CrossRefGoogle Scholar
  30. 30.
    Prince, R. L., Devine, A., Dhaliwal, S. S., & Dick, I. M. (2006). Effects of calcium supplementation on clinical fracture and bone structure: results of a 5-year, double-blind, placebo-controlled trial in elderly women. Archives of Internal Medicine, 166, 869–875.CrossRefGoogle Scholar
  31. 31.
    Eriksen, E. F., Hodgson, S. F., Eastell, R., Riggs, B. L., Cedel, S. L., & O’Fallon, W. M. (1990). Cancellous bone remodeling in type I (postmenopausal) osteoporosis: quantitative assessment of rates of formation, resorption, and bone loss at tissue and cellular levels. Journal of Bone and Mineral Research, 5, 311–319.CrossRefGoogle Scholar
  32. 32.
    Parfitt, A., Villanueva, A., Foldes, J., & Rao, D. S. (1995). Relations between histologic indices of bone formation: implications for the pathogenesis of spinal osteoporosis. Journal of Bone and Mineral Research, 10, 466–473.CrossRefGoogle Scholar
  33. 33.
    Lin, B. N., Whu, S. W., Chen, C. H., Hsu, F. Y., Chen, J. C., Liu, H. W., et al. (2013). Bone marrow mesenchymal stem cells, platelet-rich plasma and nanohydroxyapatite–type I collagen beads were integral parts of biomimetic bone substitutes for bone regeneration. Journal of Tissue Engineering and Regenerative Medicine, 7, 841–854.CrossRefGoogle Scholar

Copyright information

© Taiwanese Society of Biomedical Engineering 2016

Authors and Affiliations

  • David Shih-Chun Jin
    • 1
  • Chien-Hao Chu
    • 4
  • Jyh-Cheng Chen
    • 1
    • 2
    • 3
  1. 1.Department of Biomedical Imaging and Radiological SciencesNational Yang-Ming UniversityTaipeiTaiwan
  2. 2.Biophotonics and Molecular Imaging Research CenterNational Yang-Ming UniversityTaipeiTaiwan
  3. 3.Biomedical Engineering Research CenterNational Yang-Ming UniversityTaipeiTaiwan
  4. 4.Institute of Nuclear Energy ResearchAtomic Energy CouncilTaoyuanTaiwan

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