The Possibility of Determining Osteoporosis by Analysing the Medical Images of the Cortical Bone
Abstract
Keywords: |
Cortical bone; medical images; osteoporosis; region of interest extraction
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References
J. E. Adams, “Dual-Energy X-Ray Absorptiometry”, Radiology of Osteoporosis, Medical Radiology, Springer Berlin, 2008, pp. 105–124. http://dx.doi.org/10.1007/978-3-662-05235-8_6
P. Ammann and R. Rizzoli, “Bone strength and its determinants,” Osteoporosis International, Vol. 14, Issue 3 Supplement, 2003, pp. 13–18.
B. R. McCreadie and S. A. Goldstein, “Biomechanics of Fracture: IsBone Mineral Density Sufficient to Assess Risk?” J. of bone and mineral research, vol. 15, 2000, 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, vol. 13, 2002. 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,” J. of bone and mineral research, vol. 14, 1999; pp. 1167–1174. http://dx.doi.org/10.1359/jbmr.1999.14.7.1167
V. Bousson, F. Peyrin, C. Bergot, et al. “Cortical bone in the human femoral neck: three-dimensional appearance and porosity using synchrotron radiation,” J. of Bone and Mineral Research, vol. 19, Issue 5, 2004, pp. 794–801. http://dx.doi.org/10.1359/JBMR.040124
P. Dastidar, T. Heinonen, J. Numminen et al. “Semi-automatic segmentation of computed tomographic images in volumetric estimation of nasal airway,” European Archives of Oto-Rhino-Laryngology, 1999, vol. 256, no. 4, pp. 192–198. http://dx.doi.org/10.1007/s004050050138
B. van Ginneken, M. B. Stegmann, M. Loog, “Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database,” Medical Image Analysis, vol. 10, Issue 1, February 2006, pp. 19–40. http://dx.doi.org/10.1016/j.media.2005.02.002
A. J. Worth and D. N. Kennedy, “Segmentation of magnetic resonance brain images using analogue constraint satisfaction neural networks,” Image and Vision Computing, vol. 12, Issue 6, July–August 1994, pp. 345–354. http://dx.doi.org/10.1016/0262-8856(94)90059-0
S. Boutroy, M. L. Bouxsein, F. Munoz et al. “In vivo assessment of trabecular bone microarchitecture by highresolution peripheral quantitative computed tomography,” The J. of clinical endocrinology and metabolism, vol. 90, 2005, 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, vol. 41, 2007, pp. 505–515. http://dx.doi.org/10.1016/j.bone.2007.07.007
A. J. Burghardt, T. M. Link, S. Majumdar, “High-resolution Computed Tomography for Clinical Imaging of Bone Microarchitecture,” Clinical orthopaedics and related research, vol. 469, 2011, pp. 2179–2193. http://dx.doi.org/10.1007/s11999-010-1766-x
B. Hyun, D. C. Newitt, S. Majumdar, “Assessment of cortical bone structure using high-resolution magnetic resonance imaging,” in Proc. 13th Scientific Meeting, Int. Society for Magnetic Resonance in Medicine, Miami, 7–13 May, 2005.
R. Krug, A. J. Burghardt, S. Majumdar et al. “A High-Resolution Imaging Techniques for the Assessment of Osteoporosis,” Radiologic Clinics of North America, vol. 48, 2010. pp. 601–621.
http://dx.doi.org/10.1016/j.rcl.2010.02.015
M. Kovaļovs and A. Glazs, “Medical Image Analysis to Determine the Effectiveness of Osteoporosis Treatment,” Scientific J. of RTU Technologies of Computer Control, vol. 13, Riga: RTU, 2012, pp. 11–14.
M. Kovaļovs and A. Glazs, “Trabecular bone segmentation by using an adaptive contour,” Scientific Journal of RTU Technologies of Computer Control, vol. 14, Riga: RTU, 2013, pp. 6–11.
M. Kovaļovs and A. Glazs, “Automatic medical image analysis for measuring bone thickness and density,” Conf. Biomedical Engineering Proc., Kaunas University of Technology, Kaunas, Lithuania, 2014, pp. 153–157.
DOI: 10.7250/tcc.2015.002
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