Automatic detection of tooth cracks in optical coherence tomography images.
10.5051/jpis.2017.47.1.41
- Author:
Jun Min KIM
1
;
Se Ryong KANG
;
Won Jin YI
Author Information
1. Dental Research Institute, Seoul National University School of Dentistry, Seoul, Korea. wjyi@snu.ac.kr
- Publication Type:Original Article
- Keywords:
Computer-assisted image interpretation;
Cracked tooth syndrome;
Tooth fractures;
Optical coherence tomography
- MeSH:
Cracked Tooth Syndrome;
Image Interpretation, Computer-Assisted;
Tomography, Optical Coherence*;
Tooth Fractures;
Tooth*
- From:Journal of Periodontal & Implant Science
2017;47(1):41-50
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: The aims of the present study were to compare the image quality and visibility of tooth cracks between conventional methods and swept-source optical coherence tomography (SS-OCT) and to develop an automatic detection technique for tooth cracks by SS-OCT imaging. METHODS: We evaluated SS-OCT with a near-infrared wavelength centered at 1,310 nm over a spectral bandwidth of 100 nm at a rate of 50 kHz as a new diagnostic tool for the detection of tooth cracks. The reliability of the SS-OCT images was verified by comparing the crack lines with those detected using conventional methods. After performing preprocessing of the obtained SS-OCT images to emphasize cracks, an algorithm was developed and verified to detect tooth cracks automatically. RESULTS: The detection capability of SS-OCT was superior or comparable to that of trans-illumination, which did not discriminate among the cracks according to depth. Other conventional methods for the detection of tooth cracks did not sense initial cracks with a width of less than 100 μm. However, SS-OCT detected cracks of all sizes, ranging from craze lines to split teeth, and the crack lines were automatically detected in images using the Hough transform. CONCLUSIONS: We were able to distinguish structural cracks, craze lines, and split lines in tooth cracks using SS-OCT images, and to automatically detect the position of various cracks in the OCT images. Therefore, the detection capability of SS-OCT images provides a useful diagnostic tool for cracked tooth syndrome.
