Texture Analysis of Mandibular Trabecular Bone in Correlation with Age and Gender Using Cone Beam CT Images: A Cross-Sectional Study
Background: Texture analysis of medical images plays a significant role in extracting quantitative features that cannot be assessed visually. Objective: To compare gray-level co-occurrence matrix (GLCM) texture features of mandibular trabecular bone in different age-gender groups using CBCT images....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-04-01
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| Series: | Journal of Indian Academy of Oral Medicine and Radiology |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jiaomr.jiaomr_11_25 |
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| Summary: | Background:
Texture analysis of medical images plays a significant role in extracting quantitative features that cannot be assessed visually.
Objective:
To compare gray-level co-occurrence matrix (GLCM) texture features of mandibular trabecular bone in different age-gender groups using CBCT images.
Methods:
In this retrospective cross-sectional study, 120 mandibular CBCT scans of adult male and female patients were recruited. The study sample was divided into four different age-gender groups. Texture analysis was performed using MaZda software, and 11 GLCM texture features were extracted.
Results:
Angular second moment, entropy, correlation, inverse different moment, sum of average, difference of entropy, and sum of entropy showed statistically significant differences between age-gender groups.
Conclusion:
The results of this study concluded that principal texture features of mandibular trabecular bone were found to differentiate between different age-gender groups. |
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| ISSN: | 0972-1363 0975-1572 |