Computer Aided Analysis of Dental Radiography Assessment

Aliaa A.A. Youssif
Faculty of Computers and Information-Helwan University
Email: aliaay@yahoo.com
 

Abstract
This paper is a result of a fruitful cooperation between the computer science and the dental diagnosis experiences. The study presents a new approach of computer aided algorithms to the radiograph images of dental implantation for bone regeneration. We focus here only on the contribution of the computer assistance to the clinical research as the periodontal therapy is beyond the scope of this paper. The proposed aided system is based on pattern recognition approach directed to recognize the density changes at the intra-bony defected areas of any patient. It comprises different modules with new algorithms designed specially to treat the patients radiographic images more properly. That includes digitizing, detecting the complicated region of interest(ROI), defining a reference data imaging to correct any projection discrepancy of the follow up images, and finally to extract the distinguished features of the ROI as a basis of determining the rate of new bone density accumulation. This study is applied to two typical dental cases for a patient had two different operations. The results are very encouraging and more accurate than the traditional techniques reported before.

Keywords: pattern recognition, computer aided analysis, radiographic images