Diagnosis of carious legions using digital processing of dental radiographs

Abstract

Diagnosis of caries is a difficult process in the clinical setting, because of the obvious reasons like edge line in the Approximal surfaces is not so clear and also the complicated setting of pits and fissures in the Occlusal surface. Due to this, dependency on the expert advice of doctor increases which changes, with difference in opinion of different doctors. This indirectly affects the Sensitivity and Specificity of the disease in the radiographs used. The goal of this work is to study digital radiographs in this case we are using IOPA for dental caries. Then find out which image is having caries, whether it is visible or not, if yes than what amount of caries it is comprised of, if no than what is the reason behind it. Now to find the visibility we have preprocessed the image using an algorithm which de noises the image and also enhances the image quality, maintaining its medical standards. Also, we have used artificial intelligence to initially diagnose the carious legions by detecting those areas where caries generally occurs like the approximal surface and occlusal surface of the tooth. This approach of diagnosing the carious legions has opened gates for diagnosis of some others diseases also.