Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis

Khojastepour, L; Hasani, M; Ghasemi, M; Mehdizadeh, A R; Tajeripour, F

doi:10.31661/jbpe.v9i1Feb.743

Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis

Document Type : Original Research

Authors

L Khojastepour ¹

M Hasani ¹

M Ghasemi ¹

A R Mehdizadeh ²

F Tajeripour ³

¹ Department of Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran

² Department of Medical Physics, School of Medicine, Shiraz University of Medical Sciences

³ Department of Computer Engineering, Science and IT, Shiraz University, Shiraz, Iran

https://doi.org/10.31661/jbpe.v9i1Feb.743

Abstract

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and relatively routine imaging technique in dentistry; it could provide an opportunistic chance for screening osteoporosis. In this regard, numerous panoramic derived indices have been developed and suggested for osteoporosis screening. Jaw trabecular pattern is one of the main bone strength factors and trabecular bone pattern assessment is important factor in bone quality analysis. Texture analysis applied to trabecular bone images offers an ability to exploit the information present on conventional radiographs.
Objective: The purpose of this study was to evaluate the relationship between Jaw trabecular pattern in panoramic image and osteoporosis based on image texture analyzing using local binary pattern.
Material and Methods: An experiment is evaluated in this paper based on a real hand-captured database of panoramic radiograph images from osteoporosis and non-osteoporosis person in Namazi Hospital, Shiraz, Iran .An approach is proposed for osteoporosis diagnosis consisting of two steps. First, modified version of local binary patterns is used to extract discriminative features from jaw panoramic radiograph images. Then, classification is done using different classifiers.
Results: Comparative results show that the proposed approach provides classification accuracy about 99.6%, which is higher than many state-of-the-art methods.
Conclusion: High classification accuracy, low computational complexity, multi-resolution and rotation invariant are among advantages of our proposed approach.

Keywords

Osteoporosis

Panoramic

Texture Analysis

Local Binary Pattern

Baylink DJ, Strong DD, Mohan S. The diagnosis and treatment of osteoporosis: future prospects. Mol Med Today. 1999;5:133-40. PubMed PMID: 10203737.
White S. Oral radiographic predictors of osteoporosis. Dentomaxillofacial radiology. 2002;31:84-92.
Dervis E. Oral implications of osteoporosis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2005;100:349-56. doi: 10.1016/j.tripleo.2005.04.010. PubMed PMID: 16122665.
Taguchi A, Asano A, Ohtsuka M, Nakamoto T, Suei Y, Tsuda M, et al. Observer performance in diagnosing osteoporosis by dental panoramic radiographs: results from the osteoporosis screening project in dentistry (OSPD). Bone. 2008;43:209-13. doi: 10.1016/j.bone.2008.03.014. PubMed PMID: 18482878.
Pramudito J, Soegijoko S, Mengko T, Muchtadi F, Wachjudi R. Trabecular pattern analysis of proximal femur radiographs for osteoporosis detection. Journal of Biomedical & Pharmaceutical Engineering. 2007;1:45-51.
Gaur B, Chaudhary A, Wanjari PV, Sunil M, Basavaraj P. Evaluation of panoramic Radiographs as a Screening Tool of Osteoporosis in Post Menopausal Women: A Cross Sectional Study. J Clin Diagn Res. 2013;7:2051-5. doi: 10.7860/JCDR/2013/5853.3403. PubMed PMID: 24179941; PubMed Central PMCID: PMC3809680.
Johari Khatoonabad M, Aghamohammadzade N, Taghilu H, Esmaeili F, Jabbari Khamnei H. Relationship Among Panoramic Radiography Findings, Biochemical Markers of Bone Turnover and Hip BMD in the Diagnosis of Postmenopausal Osteoporosis. Iran J Radiol. 2011;8:23-8. PubMed PMID: 23329912; PubMed Central PMCID: PMC3522411.
Horner K, Devlin H. The relationship between mandibular bone mineral density and panoramic radiographic measurements. J Dent. 1998;26:337-43. PubMed PMID: 9611939.
Taguchi A, Suei Y, Ohtsuka M, Otani K, Tanimoto K, Ohtaki M. Usefulness of panoramic radiography in the diagnosis of postmenopausal osteoporosis in women. Width and morphology of inferior cortex of the mandible. Dentomaxillofac Radiol. 1996;25:263-7. doi: 10.1259/dmfr.25.5.9161180. PubMed PMID: 9161180.
Kanis JA, Johnell O. Requirements for DXA for the management of osteoporosis in Europe. Osteoporos Int. 2005;16:229-38. doi: 10.1007/s00198-004-1811-2. PubMed PMID: 15618996.
Oliveira ML, Pedrosa EF, Cruz AD, Haiter-Neto F, Paula FJ, Watanabe PC. Relationship between bone mineral density and trabecular bone pattern in postmenopausal osteoporotic Brazilian women. Clin Oral Investig. 2013;17:1847-53. doi: 10.1007/s00784-012-0882-2. PubMed PMID: 23239088.
Roberts MG, Graham J, Devlin H. Image texture in dental panoramic radiographs as a potential biomarker of osteoporosis. IEEE Trans Biomed Eng. 2013;60:2384-92. doi: 10.1109/TBME.2013.2256908. PubMed PMID: 23568478.
Khojastehpour L, Mogharrabi S, Dabbaghmanesh MH, Iraji Nasrabadi N. Comparison of the mandibular bone densitometry measurement between normal, osteopenic and osteoporotic postmenopausal women. J Dent (Tehran). 2013;10:203-9. PubMed PMID: 25512746; PubMed Central PMCID: PMC4264091.
Yasar F, Akgunlu F. Evaluating mandibular cortical index quantitatively. Eur J Dent. 2008;2:283-90. PubMed PMID: 19212535; PubMed Central PMCID: PMC2634783.
Khojastehpour L, Shahidi S, Barghan S, Aflaki E. Efficacy of panoramic mandibular index in diagnosing osteoporosis in women. J Dent (Tehran). 2009;6:11-5.
Hildebolt C. Osteoporosis and oral bone loss. Dentomaxillofacial Radiology. 1997;26:3-15.
Yasar F, Akgunlu F. The differences in panoramic mandibular indices and fractal dimension between patients with and without spinal osteoporosis. Dentomaxillofac Radiol. 2006;35:1-9. doi: 10.1259/dmfr/97652136. PubMed PMID: 16421256.
Mohajery M, Brooks SL. Oral radiographs in the detection of early signs of osteoporosis. Oral Surg Oral Med Oral Pathol. 1992;73:112-7. PubMed PMID: 1603549.
Peitgen H-O, Jürgens H, Saupe D. Introduction to fractals and chaos: Springer-Verlag; 1992.
Bollen AM, Taguchi A, Hujoel PP, Hollender LG. Case-control study on self-reported osteoporotic fractures and mandibular cortical bone. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2000;90:518-24. doi: 10.1067/moe.2000.107802. PubMed PMID: 11027391.
Klemetti E, Kolmakov S, Kröger H. Pantomography in assessment of the osteoporosis risk group. Eur J Oral Sci. 1994;102:68-72.
Geraets WG, Van der Stelt PF, Netelenbos CJ, Elders PJ. A new method for automatic recognition of the radiographic trabecular pattern. J Bone Miner Res. 1990;5:227-33. PubMed PMID: 2333781.
Link TM, Majumdar S, Lin JC, Augat P, Gould RG, Newitt D, et al. Assessment of trabecular structure using high resolution CT images and texture analysis. J Comput Assist Tomogr. 1998;22:15-24. PubMed PMID: 9448755.
Shahidi S, Bahrampour E, Soltanimehr E, Zamani A, Oshagh M, Moattari M, et al. The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images. BMC Med Imaging. 2014;14:32.
Houam L, Hafiane A, Boukrouche A, Lespessailles E, Jennane R, editors. Texture characterization using local binary pattern and wavelets. Application to bone radiographs. Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on; 2012: IEEE.
Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell. 2002;24:971-87.
Fekri-Ershad S, Tajeripour F. A robust approach for surface defect detection based on one dimensional local binary patterns. Indian Journal of Science and Technology. 2012;5:3197-203.
Tajeripour F, Fekri-Ershad S. Developing a novel approach for stone porosity computing using modified local binary patterns and single scale retinex. Arabian Journal for Science and Engineering. 2014;39:875-89.
Gao Z, Hong W, Xu Y. Trabecular bone micro-CT images analysis for osteoporosis diagnosis. J Comput Inf Syst. 2012;8:10341-7.