A new approach for locating the minor apical foramen using an artificial neural network

M. A. Saghiri, K. Asgar, K. K. Boukani, M. Lotfi, H. Aghili, A. Delvarani, K. Karamifar, A. M. Saghiri, P. Mehrvarzfar, Franklin Garcia-Godoy

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Aim To develop a new approach for locating the minor apical foramen (AF) using feature-extracting procedures from radiographs and then processing data using an artificial neural network (ANN) as a decision-making system. Methodology Fifty straight single-rooted teeth were selected and placed in a socket within the alveolar bone of a dried skull. Access cavities were prepared and a file was place in the canals to determine the working length. A radiograph was taken to evaluate the location of the file in relation to the minor foramen and further checked after retrieving the tooth from the alveolar socket. The location of the file tip was categorized into: beyond the AF (long), within the root canal (short) and just at the minor AF (exact). Each radiograph was used to extract relevant features using K-means, Otsu method and Wavelet protocol. Thirty-six extracted features were used for training and the rest were used for evaluating the multi-layer Perceptron ANN model. Results Analysis of the images from radiographs (test samples) by ANN showed that in 93% of the samples, the location of the AF had been determined correctly by false rejection and acceptation error methods. Conclusion Artificial neural networks can act as a second opinion to locate the AF on radiographs to enhance the accuracy of working length determination by radiography. In addition, ANN can function as a decision-making system in various similar clinical situations.

Original languageEnglish (US)
Pages (from-to)257-265
Number of pages9
JournalInternational Endodontic Journal
Volume45
Issue number3
DOIs
StatePublished - Mar 1 2012

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Tooth Apex
Neural Networks (Computer)
Decision Making
Tooth Socket
Dental Pulp Cavity
Skull
Radiography
Tooth
Referral and Consultation
Bone and Bones

All Science Journal Classification (ASJC) codes

  • Dentistry(all)

Cite this

A new approach for locating the minor apical foramen using an artificial neural network. / Saghiri, M. A.; Asgar, K.; Boukani, K. K.; Lotfi, M.; Aghili, H.; Delvarani, A.; Karamifar, K.; Saghiri, A. M.; Mehrvarzfar, P.; Garcia-Godoy, Franklin.

In: International Endodontic Journal, Vol. 45, No. 3, 01.03.2012, p. 257-265.

Research output: Contribution to journalArticle

Saghiri, MA, Asgar, K, Boukani, KK, Lotfi, M, Aghili, H, Delvarani, A, Karamifar, K, Saghiri, AM, Mehrvarzfar, P & Garcia-Godoy, F 2012, 'A new approach for locating the minor apical foramen using an artificial neural network', International Endodontic Journal, vol. 45, no. 3, pp. 257-265. https://doi.org/10.1111/j.1365-2591.2011.01970.x
Saghiri, M. A. ; Asgar, K. ; Boukani, K. K. ; Lotfi, M. ; Aghili, H. ; Delvarani, A. ; Karamifar, K. ; Saghiri, A. M. ; Mehrvarzfar, P. ; Garcia-Godoy, Franklin. / A new approach for locating the minor apical foramen using an artificial neural network. In: International Endodontic Journal. 2012 ; Vol. 45, No. 3. pp. 257-265.
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