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Image Processing Algorithms

Meyer CBCT delivers its best quality images as soon as you see them, because image quality is intrinsically optimised upon acquisition giving rise to substantially reduced image noise, artifacts and other distortions without a hassle of manual adjustment. This is achieved through deep learning of a large database of each condition category (see below for examples), and subsequently identifying and improving on the condition.

Image Noise Reduction – noise intensity of soft tissue and bone is calculated and predicted, and reduced while structure details are retained.

Removal of scattered light from artifacts – light scattering is calculated and predicted from enamel and metal implant, and reduced while structure details are retained.

AI Panoramic Enhancement – the neural network algorithm has enabled enhanced clarity of root canal and periodontium.