Image processing of optical coherence tomography for image guided dental drilling
Abstract
In the past two decades, dental implants have been an essential component of the public health. However, lack of a reliable and safe dental surgery imaging modality remains a major problem. Optical coherence tomography (OCT) is an interferometic optical imaging modality that is somewhat similar to B-mode ultrasound but utilizes infrared light instead of sound waves. It can provide optical biopsy at a very high resolution and in real time. The compact fiber-optic components of OCT make it easy to integrate into dental drill bit to provide the dentists with real-time image feedback about the anatomical structure in the vicinity of the drill bit. This research focuses on the image processing for such a concept designing OCT integrated dental drilling system. Various image processing methods are applied to the OCT images with the intention of finding out the suitable solutions for speckle noise reduction, image reconstruction and dental tissues segmentation. OCT imaging system obtains the cross sectional structure of samples by measuring the back reflected light. The coherent detection makes the OCT images are always subject to speckle noise. The existence of speckle noise limits the interpretation of OCT images. In this study, various speckle reduction digital filters are applied to the images obtained from OCT during high speed rotation. Our results indicate that the adaptive Wiener filter is particularly suitable for our specific application. It is a time–saving method that…
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