Automatic image slice marking propagation on segmentation of dental CBCT

Agus Zainal Arifin (Institute Technology Sepuluh November)
Evan Tanuwijaya (Institute Technology Sepuluh November)
Baskoro Nugroho (Institute Technology Sepuluh November)
Arif Mudi Priyatno (Institute Technology Sepuluh November)
Rarasmaya Indraswari (Institute Technology Sepuluh November)
Eha Renwi Astuti (Airlangga University, Surabaya, Indonesia)
Dini Adni Navastara (Institute Technology Sepuluh November)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 17, No 6: December 2019

Cone Beam Computed Tomography (CBCT) is a radiographic technique that has been commonly used to help doctors provide more detailed information for further examination. Teeth segmentation on CBCT image has many challenges such as low contrast, blurred teeth boundary and irregular contour of the teeth. In addition, because the CBCT produces a lot of slices, in which the neighboring slices have related information, the semi-automatic image segmentation method, that needs manual marking from the user, becomes exhaustive and inefficient. In this research, we propose an automatic image slice marking propagation on segmentation of dental CBCT. The segmentation result of the first slice will be propagated as the marker for the segmentation of the next slices. The experimental results show that the proposed method is successful in segmenting the teeth on CBCT images with the value of Misclassification Error (ME) and Relative Foreground Area Error (RAE) of 0.112 and 0.478, respectively.