Presenting a New Method for Reconstructing and Revealing Metal Areas in Real Raw Data (Cyanogram Improved with Tooth Filling Materials) To Reduce the Effect of Various Distortions in Two-Dimensional Scan Images of Spiral-Shaped Metal Implants and Dental P

Abstract

A growing demand for the use of tomography is now commonplace in the field of implantology, not only to guide diagnosis and treatment planning, but also to perform postoperative evaluations when clinical examination and conventional radiography do not provide adequate diagnosis. Is. Information. However, when implants are present, images are affected by high-density material. This creates so-called artifacts that interfere with image quality and lead to a questionable diagnostic value, which in turn may lead to misinterpretations. Considering the role of CT scan in the diagnosis of oral and dental diseases and the importance of improving the resulting images, efforts and studies to reduce the impact of various distortions, including distortions caused by the presence of metal tissues in the skull and mouth, have long been required. attention has been In this research, a new method for reconstructing images and detecting metal regions in raw data (improved cyanogram) was investigated in order to reduce the effect of various distortions in two-dimensional scan images of spiral-shaped metal implants and dental prostheses instead of sections reconstructed with the method. FBP has been paid. The algorithm that is considered for comparison with the main algorithm proposed in this article is the use of a threshold limit instead of the FBP active contour model for initial separation; That means, first, by using a threshold limit, the metal regions in the sinogram image are separated with very low accuracy. Then by applying the mentioned Hough transformation to the separated parts, these areas are identified with high approximation. The result of applying this algorithm to the real data (sinogram image of the patient with tooth filling material and hip prosResearch) and the data related to the mentioned mollage scan sinogram along with the results of the main algorithm are obtained. Compared to the original algorithm, the results of this algorithm are the same for the data related to mollage and for the data related to the patient with dental filling materials and hip prosResearch of lower quality. In fact, because the dental filling materials are small and large, as well as the number of hip prosResearch parts for the relevant data in this research is high, and on the other hand, the data is related to the spiral CT scan.