A Review on Dental Radiographic Images

Abstract

Medical image processing is essential in many fields of medical research and clinical practices because it greatly facilitates early detection and diagnosis of diseases. This paper surveys an add-on approach in the area of medical image analysis for diagnosis of diseases in oral radiology using dental Xrays in dentistry. In case of medical images human involvement and perception is of prime importance. It is indeed a difficult task to interpret fine features in various contrast situations. The raw data obtained directly from X-ray acquisition device may yield a comparatively poor image quality representation. Because of the role of a human (dentist) interpretation based on his knowledge, experience and perception which may differ from doctor to doctor; there are chances of error in deciding the right medical treatment. Software developers along with domain experts have designed various standardized and scientific tools to minimize the human error in the case of deciding the right treatment on the basis of visual perception. One of the aims of this paper is to focus on the extracted part of the tooth from digital dental X-ray, finding the required information in the form of features and helping the dentist in the form of pre-diagnosis suggestions at an early stage.

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning

“…Digital radiography is becoming increasingly popular in dentistry due to its low radiation. It does not require film development, yields faster results and is easier to store [31]. There are two types of digital radiography: direct and indirect digital image receptors [4].…”