Computational framework for microstructural bone dynamics model and its evaluation

10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Volumn , Issue , 2010, Pages 92-98

  Kim, Taehyong ^a   Hwang, Woochang ^a   Zhang, Aidong ^a   Ramanathan, Murali ^b  

^a State University of New York   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BONE DISEASE; BONE MASS; BONE MICROARCHITECTURE; BONE MICROSTRUCTURE; BONE MINERAL DENSITY; BONE MODELS; BONE REMODELING; CELL POPULATION DYNAMICS; COMPUTATIONAL FRAMEWORK; DYNAMICS MODELING; DYNAMICS MODELS; EXPERIMENTAL OBSERVATION; ITS EVALUATION; LIVING TISSUES; MICRO-STRUCTURAL; MINERAL STRUCTURE; NETWORK MODELS; NETWORK-BASED; PARACRINE INTERACTIONS; QUANTITATIVE ASSESSMENTS;

BIOINFORMATICS; CELL CULTURE; CELL PROLIFERATION; DYNAMICS; MATHEMATICAL MODELS; MICROSTRUCTURE; SILICATE MINERALS;

BONE;

EID: 77956169109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2010.23     Document Type: Conference Paper

References (37)

1. Adachi, T., Osako, Y., Tanaka, M., Hojo, M., and Hollister, S.J. Framework for optimal design of porous scaffold microstructure by computational simulation of bone regeneration. Biomaterials, 27:3964-3972, 2006.
2. Adachi, T., Suzuki, Y., Tsuhota, K., and Hojo, M. Computer simulation of tarabecular remodeling in proximal femur using large-scale fe-models. Journal of Biomechanics, 41:S124, 2008.
3. Adachi, T., Tsubota, K., Tomita, Y., and Hollister, S.J. Trabecular surface remodeling simulation for cancellous bone using microstructural voxel finite element models. Journal of Biomechanical Engineering, 123:403-409, 2001.
4. Ammann, P. and Rizzoli, R. Bone strength and its determinants. Osteoporos Int, 14:13-18, 2003.
5. Arbenz, P. and Mller, R. Microstructural finite element analysis of human bone structures. European Research Consortium for Informatics and Mathematics, 74:31-32, 2008.
6. Aurenhammer, F. Voronoi diagrams - a survey of a fundamental geometric data structure. ACM Computing Surveys, 23:345-405, 1991.
7. Bock, M., Tyagi, A.K., Kreft, J.U., and Alt, W. Generalized voronoi tessellation as a model of two-dimensional cell tissue dynamics. Biological Physics, 0901:4469, 2009.
8. Boutroy, S., Van Rietbergen, B., Sornay-Rendu, E., Munoz, F., Bouxsein, M.L., and Delmas, P.D. Finite element analysis based on in vivo hr-pqct images of the distal radius is associated with wrist fracture in postmenopausal women. Journal of Bone and Mineral Research, 23:392-399, 2008.
9. Cummings, S.R., Nevitt, M.C., Browner, W.S., Stone, K., Fox, K.M., Ensrud, K.E., Cauley, J., Black, D., and Vogt, T.M. Risk factors for hip fracture in white women. Study of Osteoporotic fractures research group, 332:767-773, 1995.
10. E. F. for Osteoporosis. Consensus development conference: Prophylaxis and treatment of osteoporosis. Osteonorosis International, 1:114-117, 1991.
11. Ito, M., Ikeda, K., Nishiguchi, M., Shindo, H., Uetani, M., Hosoi, T., and Orimo, H. Multi-detector row ct imaging of vertebral microstructure for evaluation of fracture risk. J Bone Miner Res, 20:1828-1836, 2005.
12. Johnell, O., Kanis, J.A., Oden, A., Johansson, H., De Laet, C., Delmas, P., Eisman, J.A., Fujiwara, S., Kroger, H., Mellstrom, D., Meunier, P.J., Melton, L.J. 3rd, O'Neill, T., Pols, H., Reeve, J., Silman, A., and Tenenhouse, A. Predictive value of bmd for hip and other fractures. Journal of bone and mineral research, 20:1185-94, 2005.
13. Kameo, Y., Adachi, T., and Hojo, M. Estimation of trabecular bone premeability using fluorescent image of lacuno canalicular system. Journal of Biomechanics, 2008.
14. Kanis, J.A., Borgstrom, F., De Laet, C., Johansson, H., Johnell, O., Jonsson, B., Oden, A., Zethraeus, N., Pfleger, B., and Khaltaev, N. Assessment of fracture risk. Osteoporos Int, 164:581-589, 2005.
15. Khosla, S., Riggs, B.L., Atkinson, E.J., Oberg A.L., McDaniel L.J., Holets, M., Peterson J.M., and Melton III, L.J. Effects of sex and age on bone microstructure at the ultradistal radius: A population-based noninvasive in vivo assessment. J Bone Miner Res, 21:214-131, 2006.
16. Kim, T., Hwang, W., Zhang, A., Sen, S., and Ramanathan, M. Multi-agent model analysis of the containment strategy for avian influenza (ai) in south korea. In IEEE International Conference on Bioinformatics and Biomedicine, pages 335-338, 2008.
17. Kim, T., Hwang, W., Zhang, A., Ramanathan, M. and Sen, S. Damage isolation via strategic self-destruction: A case study in 2d random networks. Europhysics Letters, 2009.
18. Kimmel, D.B. A computer simulation of the adult bone remodeling system. In Proceedings of the 1983 Summer Computer Simulation Conference, pages 744-749, 1983.
19. Kimmel, D.B. A computer simulation of the mature skeleton. Bone, 6:369-372, 1985.
20. Komarova S.V. Mathematical model of paracrine interactions between osteoclasts and osteoblasts predicts anabolic action of parathyroid hormone on bone. Endocrinology, 146:3589-3595, 2006.
21. Komarova, S.V., Smith, R.J., Dixon, S.J., Sims, S.M., and Wahlb L.M. Mathematical model predicts a critical role for osteoclast autocrine regulation in the control of bone remodeling. Bone, 33:206-215, 2003.
22. Lemaire, V., Tobin, F.L., Greller, L.D., Cho, C.R., and Suva, L.J. Modeling the interactions between osteoblast and osteoclast activities in bone remodeling. Journal of Theoretical Biology, 229:293-309, 2004.
23. Link, T.M., Majumdar, S., Lin, J.C., Augat, P., Gould, R.G., Newitt, D., Ouyang, X., Lang, T.F., Mathur, A., and Genant, H.K. Assessment of trabecular structure using high resolution ct images and texture analysis. J Comput Assist Tomogr, 22:15-24, 1998.
24. MacNeil, J.A., and Boyd S.K. Bone strength at the distal radius can be estimated from high-resolution peripheral quantitative computed tomography and the finite element method. Bone, 42:1203-1213, 2008.
25. Manolagas, S.C. Birth and death of bone cells: basic regulatory mechanisms and implications for the pathogenesis and treatment of osteoporosis. Endocr. Rev., 21:115-137, 2000.
26. Marathe, A. and Peterson, M.C. and Mager, D.E. Integrated cellular bone homeostasis model for denosumab pharmacodynamics in multiple myeloma patientsformula. The Journal of Pharmacology and Experimental Therapeutics, 326:555-562, 2008.
27. Mller, R. Advanced imaging surrogates of bone strength. Bone, 41:S33, 2007.
28. Mueller, T.L., Wirth, A.J., Mller, R., and Lenthe, G.H. Computational bone mechanics to determine bone strength of the human radius. In 16th Annual Symposium on Computational Methods in Orthopaedic Biomechanics Pre-ORS, 2008.
29. OTT, S.M., Kilcoyne, R.F., and Chesnut, C.H. 3rd. Ability of four different techniques of measuring bone mass to diagnose vertebral fractures in postmenopausal women. Bone Miner Res, 2:201-210, 1987.
30. Reeve, J. A discrete event simulation of the mature skeleton. Math Model, 7:957-980, 1986.
31. Reeve, J. A stochastic analysis of iliac trabecular bone dynamics. Clin Orthop Rel Res, 213:264-278, 1986.
32. Ryser, M.D., Nigam, N., and Komarova S.V. Mathematical modeling of spatio-temporal dynamics of a single bone multicellular unit. Journal of Bone and Mineral Research, 24:860-870, 2009.
33. Taylor, B.C., Schreiner, P.J., Stone, K.L., Fink, H.A., Cummings, S.R., Nevitt, M.C., Bowman, P.J., and Ensrud, K.E. Long-term prediction of incident hip fracture risk in elderly white women: study of osteoporotic fractures. J Am Geriatr Soc Int, 52:1479-1486, 2004.
34. Tayyar, S., Weinhold, P.S., Butler, R.A., Woodard, J.C., Zardiackas, L.D., St John, K.R., Bledsoe, J.M., and Gilbert, J.A. Computer simulation of trabecular remodeling using a simplified structural model. Bone, 25:733-739, 1999.
35. Tsubota, K., Suzuki, Y., Yamada, T., Hojo, M., Makinouchi, A., and Adachi, T. Computer simulation of trabecular remodeling in human proximal femur using large-scale voxel fe models: Approach to understanding wolffs law. Journal of Biomechanics, 42:1088-1094, 2009.
36. Weinhold, P.S., Gilbert, J.A., and Woodard, J.C. The significance of transient changes in trabecular bone remodeling activation. Bone, 15:577-584, 1994.
37. Wigderowitz, C.A., Paterson, C.R., Dashti, H., McGurty, D., and Rowley, D.I. Predictuion of bone strength from cancellous structure of the distal radius: can we improve on dxa? Osteoporos Int, 11:840-846, 2000.