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IR Imaging for Dental Caries
Abstract-- our vision of the paper states that early detection of dental caries in the inter proximal contact sites between them. In this, a near –IR imaging system operating at 940nm was used to acquire images through tooth sections of varying thickness and whole teeth in order to demonstrate the utility of near-IR dental transillumination system for the imaging of early dental caries. This paper clearly demonstrates that the IR transillumination system has considerable potential for the imaging of early dental decay. Dental enamel manifests high transparency in the near-IR. The most new dental decay occurs in the pits and fissures of the occlusal surface of the posterior teeth. These caries lesions cannot be detected by X-ray during the early stages of decay due to the overlapping topography of the crown of the tooth. A near-IR imaging system operating at 940nm was used to acquire occlusal image by launching the near-IR light into the buccal surface of the teeth just above the gingival margin. The near –IR light diffuses through the highly scattering dentin providing uniform back illumination of the enamel of the crowns allowing imaging of the occlusal surfaces. The near-IR images show high contrast between sound and demineralised areas. Moreover, the high transparency of the enamel enables imaging at greater depth for the detection of surface decay hidden under the enamel. A 940nm LED is used as the source illumination. NOIR camera is used for better resolution. It connects to Raspberry Pi by way of a short ribbon cable. The camera is connected to the BCM2835 processor on the Pi via the CSI bus. This bus travels along the ribbon cable that attaches the camera board to the Pi. It also weighs just over 3g, making it perfect for mobile or other applications where size and weight are important. The Raspberry Pi is a series of small single-board computers. The image sensor used is a red green blue – infrared micro-camera controlled by a Raspberry Pi board where a basic image processing algorithm has been programmed. These early images suggest that the near-IR offers significant advantages over conventional visual, tactile and radiographic caries detection method.
Keywords: Caries detection, Dental caries, Near-IR imaging, occlusal surfaces, Transillumination.
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International Journal for Trends in Technology & Engineering © 2015 IJTET JOURNAL