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Comparative Study
. 2016;45(2):20150298.
doi: 10.1259/dmfr.20150298. Epub 2015 Dec 14.

Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images

Ehsan Bahrampour  1 , Ali Zamani  2 , Sadegh Kashkouli  3 , Elham Soltanimehr  4 , Mohsen Ghofrani Jahromi  2 , Zahra Sanaeian Pourshirazi  2
Affiliations
Comparative Study

Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images

Ehsan Bahrampour et al. Dentomaxillofac Radiol. 2016.

Abstract

Objectives: The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images.

Methods: The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded.

Results: The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method.

Conclusions: The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.

Keywords: CBCT; automatic detection; inferior alveolar nerve canal.

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Figures

Figure 1
Figure 1
Generating panoramic view.
Figure 2
Figure 2
Extraction of the jaw bone by imposing active contour method on the panoramic projection of the data.
Figure 3
Figure 3
Teeth removal via a quadratic curve.
Figure 4
Figure 4
Feature extraction from panoramic and cross-sectional slices (points: detected circles, line: aggregated results).
Figure 5
Figure 5
Final result.
Figure 6
Figure 6
Overview of the proposed method. ROI, region of interest.
See this image and copyright information in PMC

References

    1. Kim G, Lee J, Lee H, Seo J, Koo YM, Shin YG, et al. . Automatic extraction of inferior alveolar nerve canal using feature enhancing panoramic volume rendering. IEEE Trans Biomed Eng 2011; 58: 253–64. - PubMed
    1. Moris B, Claesen L, Sun Y, Politis C. Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods. Communications and Electronics (ICCE), 2012, Fourth International Conference. IEEE; 2012. pp. 327–32.
    1. Săndulescu M, Trăistaru M, Niţescu M, Sirbu I. A morphological study of the mandibular canal in partially edentulous patients. Ther Pharmacol Clin Toxicol 2010; 14: 42–52.
    1. Sotthivirat S, Narkbuakaew W. Automatic detection of inferior alveolar nerve canals on CT images. Biomedical Circuits and Systems Conference, 2006 BioCAS. IEEE; 2006. pp. 142–5.
    1. Kamburoğlu K, Kılıç C, Özen T, Yüksel SP. Measurements of mandibular canal region obtained by cone-beam computed tomography: a cadaveric study. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2009; 107: e34–42. - PubMed

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