Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis
Journal Title: Journal of Biomedical Physics and Engineering - Year 2019, Vol 9, Issue 1
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, multiresolution and rotation invariant are among advantages of our proposed approach.
Authors and Affiliations
M. Ghasemi, L. Khojastepour, A. R. Mehdizadeh, F. Tajeripour
Keywords
Related Articles
- EP ID EP613262
- DOI -
- Views 97
- Downloads 0
Benchmarking of Siemens Linac in Electron Modes: 8-14 MeV Electron Beams
Background: Radiation therapy using electron beams is a promising method due to its physical dose distribution. Monte Carlo (MC) code is the best and most accurate technique for forespeaking the distribution of dose in r...
Calculating Weighting Factors for Mixing Megavoltage Photon Beams to Achieve Desirable Dose Distribution in Radiotherapy
Background: In radiotherapy, low-energy photon beams are better adapted to the treated volume, and the use of high-energy beams can reduce hot spots in the radiation therapy. Therefore, mixing low and high energies with...
Personalized 18FDG Dose Synthesis Using BG-75 Generator: 1st Year Experience at JCI Accredited Tertiary Care Hospital in Pakistan
Background: Compact cyclotrons are getting popular to fulfill enormous current demands of PET tracers. Aga Khan University Hospital, Karachi, Pakistan has acquired the first smallest footprint of BG-75 Generator for 18FD...
Martian Residents: Mass Media and Ramsar High Background Radiation Areas
Considering current controversies regarding the health effects of low doses of ionizing radiation, study of the high background radiation areas such as Ramsar, Iran can help scientists better evaluate the validity of lin...
Investigating the Impact of Knee Prosthesis in Patients’ Body on Radiation Dose Distribution: A Monte Carlo Approach
Background: Metal prostheses in patients affect the radiotherapy dose distribution. Metal prostheses with high density and atomic number cause major changes in scattering and attenuation of radiation. The present study a...