A computer aided diagnosis system for measurement of mandibular cortical thickness on dental panoramic radiographs in prediction of women with low bone mineral density

  • D. KathirveluEmail author
  • P. Vinupritha
  • V. Kalpana
Image & Signal Processing
Part of the following topical collections:
  1. Image & Signal Processing


Osteoporosis detection at earlier stages can enhance the life span of an elderly individual. The aim of the study is to perform semi-automated measurement of mandibular cortical thickness (MCT) on a dental panoramic radiograph (DPR) and thereby to predict the risk of low BMD among the studied population. The study involved 76 women (mean age: 57.2 ± 12.6 years). The DPR was obtained using KODAK 8000C system. The BMD of right total hip (T-BMD) was obtained using DPX Prodigy Dual-energy X-ray absorptiometry (DXA) Scanner. The DPR obtained were subjected to image processing techniques to perform MCT measurement. The region of interest was manually selected around the mental foramen and enhanced using a median filter. The Ostu segmentation was performed and connected component labelling operation was performed to determine the lower boundary by finding the contour with maximum area. Subsequently, the haar wavelet operation was carried out to find the magnitude and thereby select the upper delineating cortical boundary. The Pearson test results revealed (r = 0.96, p < 0.01) for the standard (manual) MCT measurement against the MCT measured using the proposed semi-automated scheme. ROC analysis revealed that MCT = 2.5 mm could be an optimal threshold in spotting individuals at risk of low BMD. The results of the study revealed that the MCT measured on a DPR using the proposed approach could be helpful for identifying individuals at risk of low BMD.


DPR Low BMD MCT Osteoporosis Ostu Segmentation DXA 



The authors wish to express their deep sense of gratitude to the management of SRM Hospital and Research Centre for providing the required facilitative infrastructure. The authors humbly wish to express their heartfelt sincere thanks to Dr. M. Anburajan who taught all nuances of osteoporosis research work. The authors also wish to thank Dr. V. Sapthagirivasan for his knowledge sharing and mentoring during the learning phases of research.


The study was not supported by any funding agencies. The expenditure incurred for the study was borne by the authors.

Compliance with Ethical Standards

The study was conducted with the consent of institutional ethical committee (SRMIST- Institutional Ethical Committee).

This article is original and has not been published by any other journal.

Conflict of Interest

The authors declare that they have no conflict of interest.

Informed Consent

An informed consent was obtained from all participants in their native language.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringSRM Institute of Science and TechnologyKattankulathurIndia
  2. 2.Department of Chemistry, C. Kandasamy Naidu college for womenCuddaloreIndia

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