3D Visualization of Bone Structure and Thickness

Mihails Kovalovs, Aleksandrs Glazs

Abstract


In this paper authors propose a method of bone structure 3D visualization is proposed, which is based on medical images and can separately visualize the cortical and trabecular bone. To visualize the bone structure, the cortical and trabecular bones are first extracted from the medical images using fully automatic image processing methods. The proposed method could be used when analyzing the medical images of patients with osteoporosis, where it is necessary to analyze changes in the microstructure of the bone.

Keywords:

Cortical bone, medical images, segmentation, trabecular bone, visualization.

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References


J. E. Adams, “Dual-Energy X-Ray Absorptiometry,” Radiology of Osteoporosis, Medical Radiology, Springer Berlin, 2008, pp. 105–124.

P. Ammann, R. Rizzoli, “Bone strength and its determinants,” Osteoporosis International, 2003, vol. 14, no. 3, pp. 13–18.

B. R. McCreadie, S. A. Goldstein, “Biomechanics of Fracture: Is Bone Mineral Density Sufficient to Assess Risk?” Journal of bone and mineral research, 2000, vol. 15, pp. 2305–2308. http://dx.doi.org/10.1359/jbmr.2000.15.12.2305

F. W. Wehrli, P. K. Saha, B. R. Gomberg et al. “Role of magnetic resonance for assessing structure and function of trabecular bone,” Topics in Magnetic Resonance Imaging, 2002, vol. 13, pp. 335–355. http://dx.doi.org/10.1097/00002142-200210000-00005

T. Hildebrand, A. Laib, R. Muller et al. “Direct threedimensional morphometric analysis of human cancellous bone: microstructural data from spine, femur, iliac crest, and calcaneus,” Journal of bone and mineral research, 1999, vol. 14, pp. 1167–1174. http://dx.doi.org/10.1359/jbmr.1999.14.7.1167

R. Krug, A. J. Burghardt, S. Majumdar, T. M. Link, “A High-Resolution Imaging Techniques for the Assessment of Osteoporosis,” Radiologic Clinics of North America, 2010, vol. 48, pp. 601–621. http://dx.doi.org/10.1016/j.rcl.2010.02.015

A. J. Burghardt, T. M. Link, S. Majumdar, “High-resolution Computed Tomography for Clinical Imaging of Bone Microarchitecture,” Clinical orthopaedics and related research, 2011, vol. 469, pp. 2179–2193. http://dx.doi.org/10.1007/s11999-010-1766-x

S. Boutroy, M. L. Bouxsein, F. Munoz, P. D. Delmas, “In vivo assessment of trabecular bone microarchitecture by highresolution peripheral quantitative computed tomography,” The Journal of clinical endocrinology and metabolism, 2005, vol. 90, pp. 6508–6515. http://dx.doi.org/10.1210/jc.2005-1258

H. R. Buie, G. M. Campbell, R. J. Klinck et al. “Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis,” Bone, 2007, vol. 41, pp. 505–515. http://dx.doi.org/10.1016/j.bone.2007.07.007

G. N. Hounsfield, “Computed medical imaging,” Medical physics, 1980, vol. 7, pp. 283–290. http://dx.doi.org/10.1118/1.594709

B. Hyun, D. C. Newitt, S. Majumdar, “Assessment of cortical bone structure using high-resolution magnetic resonance imaging,” Proceedings 13th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Miami, 7–13 May, 2005.

J. T. Bushberg, J. A. Seibert, Jr. E. M. Leidholdt, J. M. Boone, The Essential Physics of Medical Imaging, 2nd ed., Lippincott Williams & Wilkins, 2001, p. 933.

P. Suetens, Fundamentals of Medical Imaging, 2nd ed., Cambridge University Press, 2009, p. 261. http://dx.doi.org/10.1017/CBO9780511596803

D. C. Newitt, B. Van Rietbergen, S. Majumdar, “Processing and analysis of in vivo high-resolution MR images of trabecular bone for longitudinal studies: reproducibility of structural measures and microfinite element analysis derived mechanical properties,” Osteoporosis International, 2002, vol. 13, pp. 278–287. http://dx.doi.org/10.1007/s001980200027

W. K. Pratt, Digital Image Processing: PIKS Scientific Inside, 4th ed., Hoboken, New Jersey: John Wiley & Sons, 2007, p. 782. http://dx.doi.org/10.1002/0470097434

W. E. Lorensen, H. E. Cline, “Marching Cubes: a high resolution 3D surface reconstruction algorithm,” Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH, 1987, vol. 21, pp. 163–169.

A. Jain, Fundamentals of Digital Image Processing, 1st ed., New Jersey: Prentice-Hall, 1989, p. 565.




DOI: 10.7250/tcc.2014.003

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