DOI QR코드

DOI QR Code

Anatomical variations of trabecular bone structure in intraoral radiographs using fractal and particles count analyses

  • Amer, Maha Eshak (Department of Oral Radiology, Faculty of Dentistry, Minia University) ;
  • Heo, Min-Suk (Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Brooks, Sharon L. (Division of Oral and Maxillofacial Radiology, Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan) ;
  • Benavides, Erika (Division of Oral and Maxillofacial Radiology, Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan)
  • Received : 2011.10.22
  • Accepted : 2011.12.26
  • Published : 2012.03.31

Abstract

Purpose : This study was performed to evaluate possible variations in maxillary and mandibular bone texture of normal population using the fractal analysis, particles count, and area fraction in intraoral radiographs. Materials and Methods : Periapical radiographs of patients who had full mouth intraoral radiographs were collected. Regions of interest ($100{\times}100$ pixels) were located between the teeth of the maxillary anterior, premolar, and molar area, as well as the mandibular anterior, premolar, and molar areas. The fractal dimension (FD) was calculated by using the box counting method. The particle count (PC) and area fraction (AF) analyses were also performed. Results : There was no significant difference in the FD values among the different groups of age, gender, upper, and lower jaws. The mean FD value was $1.49{\pm}0.01$. The mean PC ranged from 44 to 54, and the mean AF ranged from 10.92 to 11.85. The values of FD, PC, and AF were significantly correlated with each other except for the upper molar area. Conclusion : According to the results, patients with normal trabecular pattern showed a FD of approximately 1.5. Based on these results, further investigation would be recommended if the FD value of patient significantly differenct from this number, since the alteration of this value indicates microstructural modification of trabecular pattern of the jaws. Additionally, with periapical radiographs, simple and cost-effective, PC and AF could be used to assess the deviation from the normal.

Keywords

References

  1. Jett S, Shrout MK, Mailhot JM, Potter BJ, Borke JL. An evaluation of the origin of trabecular bone patterns using visual and digital image analysis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2004; 98 : 598-604. https://doi.org/10.1016/j.tripleo.2004.07.020
  2. Lang P, Steiger P, Faulkner K, Gluer C, Genant HK. Osteoporosis. Current techniques and recent developments in quantitative bone densitometry. Radiol Clin North Am 1991; 29 : 49-76.
  3. Bender IB, Seltzer S. Roentgenographic and direct observation of experimental lesions in bone: I. 1961. J Endod 2003; 29 : 702-6. https://doi.org/10.1097/00004770-200311000-00005
  4. Parfitt AM. Trabecular bone architecture in the pathogenesis and prevention of fracture. Am J Med 1987; 82 : 68-72.
  5. Genant HK, Cooper C, Poor G, Reid I, Ehrlich G, Kanis J, et al. Interim report and recommendations of the World Health Organization Task-Force for Osteoporosis. Osteoporos Int 1999; 10 : 259-64. https://doi.org/10.1007/s001980050224
  6. Otis LL, Hong JS, Tuncay OC. Bone structure effect on root resorption. Orthod Craniofac Res 2004; 7 : 165-77. https://doi.org/10.1111/j.1601-6343.2004.00282.x
  7. Heo MS, Park KS, Lee SS, Choi SC, Koak JY, Heo SJ, et al. Fractal analysis of mandibular bony healing after orthognathic surgery. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2002; 94 : 763-7. https://doi.org/10.1067/moe.2002.128972
  8. Yas¸ar F, Akgünlü F. The differences in panoramic mandibular indices and fractal dimension between patients with and without spinal osteoporosis. Dentomaxillofac Radiol 2006; 35 : 1-9. https://doi.org/10.1259/dmfr/97652136
  9. Prouteau S, Ducher G, Nanyan P, Lemineur G, Benhamou L, Courteix D. Fractal analysis of bone texture: a screening tool for stress fracture risk? Eur J Clin Invest 2004; 34 : 137-42. https://doi.org/10.1111/j.1365-2362.2004.01300.x
  10. Chen SK, Oviir T, Lin CH, Leu LJ, Cho BH, Hollender L. Digital imaging analysis with mathematical morphology and fractal dimension for evaluation of periapical lesions following endodontic treatment. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2005; 100 : 467-72. https://doi.org/10.1016/j.tripleo.2005.05.075
  11. Shrout MK, Jett S, Mailhot JM, Potter BJ, Borke JL, Hildebolt CF. Digital image analysis of cadaver mandibular trabecular bone patterns. J Periodontol 2003; 74 : 1342-7. https://doi.org/10.1902/jop.2003.74.9.1342
  12. Parkinson IH, Fazzalari NL. Methodological principles for fractal analysis of trabecular bone. J Microsc 2000; 198 : 134-42. https://doi.org/10.1046/j.1365-2818.2000.00684.x
  13. Ergun S, Saracoglu A, Guneri P, Ozpinar B. Application of fractal analysis in hyperparathyroidism. Dentomaxillofac Radiol 2009; 38 : 281-8. https://doi.org/10.1259/dmfr/24986192
  14. White SC, Rudolph DJ Alterations of the trabecular pattern of the jaws in patients with osteoporosis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1999; 88 : 628-35. https://doi.org/10.1016/S1079-2104(99)70097-1
  15. White SC, Rudolph DJ, Ma L. Influence of x-ray beam angulation and exposure on morphologic features of trabecular bone. Int J Oral Biol 1999; 24 : 17-23.
  16. Yasar F, Akgunlu F. Fractal dimension and lacunarity analysis of dental radiographs. Dentomaxillofac Radiol 2005; 34 : 261-7. https://doi.org/10.1259/dmfr/85149245
  17. Haire TJ, Hodgskinson R, Ganney PS, Langton CM. A comparison of porosity, fabric and fractal dimension as predictors of the Young's modulus of equine cancellous bone. Med Eng Phys 1998; 20 : 588-93. https://doi.org/10.1016/S1350-4533(98)00063-0
  18. Buckland-Wright JC, Lynch JA, Rymer J, Fogelman I. Fractal signature analysis of macroradiographs measures trabecular organization in lumbar vertebrae of postmenopausal women. Calcif Tissue Int 1994; 54 : 106-12. https://doi.org/10.1007/BF00296060
  19. Lynch JA, Hawkes DJ, Buckland-Wright JC. Analysis of texture in macroradiographs of osteoarthritic knees using fractal signature. Phys Med Biol 1991; 36 : 709-22. https://doi.org/10.1088/0031-9155/36/6/001
  20. Lynch JA, Hawkes DJ, Buckland-Wright JC. A robust and accurate method for calculating fractal signature of texture in macroradiographs of osteoarthritic knees. Med Inform (Lond) 1991; 16 : 241-51. https://doi.org/10.3109/14639239109012130
  21. Fazzalari NL, Parkinson IH. Fractal properties of cancellous bone of the iliac crest in vertebral crush fracture. Bone 1998; 23 : 53-7. https://doi.org/10.1016/S8756-3282(98)00063-5
  22. Haidekker MA, Andresen R, Evertsz CJ, Banzer D, Peitgen HO. Assessing the degree of osteoporosis in the axial skeleton using the dependence of the fractal dimension on the grey level threshold. Br J Radiol 1997; 70 : 586-93. https://doi.org/10.1259/bjr.70.834.9227251
  23. Dey P, Rajesh L. Fractal dimension in endometrial carcinoma. Anal Quant Cytol Histol 2004; 26 : 113-6.
  24. Jolley L, Majumdar S, Kapila S. Technical factors in fractal analysis of periapical radiographs. Dentomaxillofac Radiol 2006; 35 : 393-7. https://doi.org/10.1259/dmfr/30969642
  25. Demirbas AK, Ergun S, Guneri P, Aktener OP, Boyacio˘glu H. Mandibular bone changes in sickle cell anemia: fractal analysis. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2008; 106 : e41-8. https://doi.org/10.1016/j.tripleo.2008.03.007
  26. Shrout MK, Roberson B, Potter BJ, Mailhot JM, Hildebolt CF. A comparison of 2 patient populations using fractal analysis. J Periodontol 1998; 69 : 9-13. https://doi.org/10.1902/jop.1998.69.1.9
  27. Chappard C, Brunet-Imbault B, Lemineur G, Giraudeau B, Basillais A, Harba R, et al. Anisotropy changes in post-menopausal osteoporosis: characterization by a new index applied to trabecular bone radiographic images. Osteoporos Int 2005; 16 : 1193-202. https://doi.org/10.1007/s00198-004-1829-5
  28. Southard TE, Southard KA, Lee A. Alveolar process fractal dimension and postcranial bone density. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2001; 91 : 486-91. https://doi.org/10.1067/moe.2001.112598
  29. Ruttimann UE, Webber RL, Hazelrig JB. Fractal dimension from radiographs of peridental alveolar bone. A possible diagnostic indicator of osteoporosis. Oral Surg Oral Med Oral Pathol 1992; 74 : 98-110. https://doi.org/10.1016/0030-4220(92)90222-C
  30. Southard TE, Southard KA, Jakobsen JR, Hillis SL, Najim CA. Fractal dimension in radiographic analysis of alveolar process bone. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1996; 82 : 569-76. https://doi.org/10.1016/S1079-2104(96)80205-8

Cited by

  1. Quantification of left ventricular trabeculae using fractal analysis vol.15, pp.None, 2013, https://doi.org/10.1186/1532-429x-15-36
  2. Applying Fractal Dimension and Image Analysis to Quantify Fibrotic Collagen Deposition and Organization in the Normal and Hypertensive Heart vol.20, pp.4, 2012, https://doi.org/10.1017/s1431927614001044
  3. Fractal Dimension of Hypertrophic Cardiomyopathy Trabeculation : A Window to an Unpredictable Future? vol.7, pp.3, 2012, https://doi.org/10.1161/circgenetics.114.000649
  4. Systematic review with hierarchical clustering analysis for the fractal dimension in assessment of skeletal bone mineral density using dental radiographs vol.31, pp.1, 2012, https://doi.org/10.1007/s11282-014-0188-y
  5. Fractal frontiers in cardiovascular magnetic resonance: towards clinical implementation vol.17, pp.None, 2012, https://doi.org/10.1186/s12968-015-0179-0
  6. Correlation of fractal dimension with histomorphometry in maxillary sinus lifting using autogenous bone graft. vol.26, pp.1, 2012, https://doi.org/10.1590/0103-6440201300290
  7. Distributional Variations in the Quantitative Cortical and Trabecular Bone Radiographic Measurements of Mandible, between Male and Female Populations of Korea, and its Utilization vol.11, pp.12, 2012, https://doi.org/10.1371/journal.pone.0167992
  8. Fractal Analysis May Improve the Preoperative Identification of Atypical Meningiomas vol.80, pp.2, 2017, https://doi.org/10.1093/neuros/nyw030
  9. Recent advances in managing/understanding meningioma vol.7, pp.None, 2018, https://doi.org/10.12688/f1000research.13674.1
  10. Evaluation of trabecular pattern of mandible using fractal dimension, bone area fraction, and gray scale value: comparison of cone-beam computed tomography and panoramic radiography vol.35, pp.1, 2019, https://doi.org/10.1007/s11282-018-0316-1
  11. Method for Automated Selection of the Trabecular Area in Digital Periapical Radiographic Images Using Morphological Operations vol.25, pp.3, 2012, https://doi.org/10.4258/hir.2019.25.3.193
  12. Comparison between fractal analysis and radiopacity evaluation as a tool for studying repair of an osseous defect in an animal model using biomaterials vol.48, pp.7, 2012, https://doi.org/10.1259/dmfr.20180466
  13. Use of fractal analysis in dental images: a systematic review vol.49, pp.2, 2012, https://doi.org/10.1259/dmfr.20180457
  14. Evaluation of the mandibular trabecular bone in patients with bruxism using fractal analysis vol.37, pp.1, 2012, https://doi.org/10.1007/s11282-020-00422-5