题名

Study of Trabecular Bone in Rats Using Image Processing

DOI

10.7903/ijecs.1170

作者

D. Jiménez-Mendoza;D. Vargas-Vázquez;M.I. Hernández-Urbiola;J.G. Ríos-Moreno;M. Trejo-Perea;M.E. Rodríguez-García

关键词

Image Processing ; Trabecula ; Osteoporosis ; Skeletonization

期刊名称

International Journal of Electronic Commerce Studies

卷期/出版年月

4卷2期(2013 / 12 / 01)

页次

337 - 348

内容语文

英文

英文摘要

Osteoporosis is the most common osseous disease and it is considered a world problem. As the disease progresses, the bone structure diminish until it becomes very fragile and fractures risk up in region like femur and spine. The femoral neck and spine are spongy bone, which are formed by trabeculae in constant re-modeling regulated by osteoclast and osteoblast. When the balance between osteoclast and osteoblast is lost, removing bone process is faster than forming bone process, promoting the trabeculae thinning and eventually the osteoporosis. In order to count trabeculae, the experts traditionally use manual methods when they do not have automatic tools; this process introduces errors in the measurement. With the purpose of to count and to separate trabeculae, in this study a method is proposed that measure quantity, length and connections nodes in trabeculae regions, which are morphological characteristics indicators of the bone. The used images were obtained by an optical microscope starting with micro slides of bone. This approach provides an automatic tool of great utility in order to facility the process to the experts in medical area, and to avoid the cited errors in the manual count of trabeculae.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 經濟學
社會科學 > 財金及會計學
社會科學 > 管理學
参考文献
  1. Blain, H.,Chavassieux, P.,Portero-Muzy, N.,Bonnel, F.,Canovas, F.,Chammas, M.,Maury, P.,Delmas, P.D.(2008).Cortical and trabecular bone distribution in the femoral neck in osteoporosis and osteoarthritis.Bone,43(5),862-868.
  2. Bouxsein, M.L.(2003).Bone quality: Where do we go from here?.Osteoporosis. International,14(5),118-127.
  3. Crespo, J.,Maojo, V.(1998).New results on the theory of morphological filters by reconstruction.Pattern Recognition,31(4),419-429.
  4. Felsenberg, D.,Boonen, S.(2005).The bone quality framework: Determinants of bone strength and their interrelationships, and implications for osteoporosis management.Clinical Therapeutics,27(1),1-11.
  5. González, R.,Woods, R.(2008).Digital image processing.New Jersey, USA:Prentice Hall.
  6. Gregory, J.S.,Junold, R.M.,Undrill, P.E.,Aspen, R.M.(1999).Analysis of trabecular bone structure using fourier transforms and neural networks.IEEE Transactions on Information Technology in Biomedicine,3(4),289-294.
  7. Hanbury, A.(2008).Constructing cylindrical coordinate colour spaces.Pattern Recognition Letters,29(4),494-500.
  8. Huang, K.,Ta, D.,Wang, W.,Le, L.H.(2008).Simplified inverse filter tracking algorithm for estimating the mean trabecular bone spacing.IEEE Transactions on Ultrason Ferroelectr Freq Control,55(7),1453-1464.
  9. International Osteoporosis Foundation IOF, Osteoporosis and you. Buenos Aires Argentina. Retrieved on August 1, 2011, from http://www.iofbonehealth.org/
  10. Lam, L.,Lee, S.W.,Suen, C.(1992).Thinning methodologies: a comprehensive survey.IEEE Transactions on Patterns Analysis and Machine Intelligence,14(9),869-885.
  11. Lozada, V.,Alberto, O.(2006).Comportamiento de la densitometría mineral ósea central en pacientes con factores de riesgo y fractura de cadera para el diagnostico de la osteoposoris.Revista de Sanidad Militar,60(4),265-269.
  12. Pastore, J.I.,Moler, E.,Meschino, G.(2005).Segmentación de biopsias de médula ósea mediante filtros morfológicos y rotulación de regions homogéneas.Brazilian Journal of Biomedical Engineering,21(1),37-44.
  13. Pratt, W.K.(1991).Digital Image Processing.New York:John Wiley & Sons Inc..
  14. Saha, P.K.,Wehrli, F.W.(2004).Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform.Transactions on Medical Imaging,23(1),53-62.
  15. Skipper, J.A.,Hangartner, T.N.(2002).Optimizing X-ray spectra for dual-energy radiographic bone densitometry.BioMedical Imaging Laboratory,29,297-300.
  16. Soille, P.(2003).Morphological image analisis. Principles and applications.New York, USA:Springer.
  17. Spivacow, F.R.,Sánchez, A.(2010).Epidemiology, costs, and burden of osteoporosis in Argentina.Archives of osteoporosis,5(1-2),1-6.
  18. Terol, I.R.,Vargas, D.(2001).Openings and closings by reconstruction using propagation criteria.Computer Analysis of Images and Patterns,21(24),502-509.
  19. Terol, I.R.,Vargas-Vazquez, D.(2005).Openings and closings with reconstruction criteria: A study of a class of lower and upper leveling.Journal of Electronic Imaging,14(1),1-11.
  20. Watanabe, P.C.,Monteiro, S.A.,Campbell, J.C.,Elejalde, D.A.(2006).Análisis del patrón óseo trabecular de mandíbulas maceradas en radiografías panorámicas digitales.International Journal of Morphology,24(3),369-376.
  21. Zaia, A.,Eleonori, R.,Maponi, P.,Rossi, R.,Murri, R.(2006).MR imaging and osteoporosis: Fractal lacunarity analysis of trabecular bone.IEEE Transactions on Information Technology Biomedicine,10(3),484-489.