Computer aided analysis of dental radiographic images

Youssif, Aliaa A. A., Chowdhury, Morshed and Ray, Sid 2005, Computer aided analysis of dental radiographic images, in Proceedings of the Digital Image Computing : Techniques and Applications : (DICTA 2005), IEEE Xplore, Piscataway, N.J., pp. 43-43.

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Title Computer aided analysis of dental radiographic images
Author(s) Youssif, Aliaa A. A.
Chowdhury, Morshed
Ray, Sid
Conference name Australian Pattern Recognition Society. Conference (8th : 2005 : Cairns, Qld.)
Conference location Cairns, Queensland
Conference dates 6-8 December 2005
Title of proceedings Proceedings of the Digital Image Computing : Techniques and Applications : (DICTA 2005)
Editor(s) Lovell, B. C.
Maeder, A. J.
Caelli, T.
Ourselin, S.
Publication date 2005
Conference series Australian Pattern Recognition Society Conference
Start page 43
End page 43
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) computer aided analysis
pattern recognition
radiographic images
region of interest
Summary 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 applying computer algorithms to radiographic images of dental implantation used 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 system is based on a pattern recognition approach, directed to recognize density changes in the intra-bony affected areas of patients. It comprises different modules with new algorithms specially designed to treat the patients’ radiographic images more accurately. The system includes digitizing, detecting the complicated region of interest (ROI), defining reference area to correct any projection discrepancy of the follow up images, and finally to extract the distinguishing features of the ROI as a basis for determining the rate of new bone density accumulation. This study is applied to two typical dental cases for a patient who received two different operations. The results are very encouraging and more accurate than traditional techniques reported before.
ISBN 0769524672
9780769524672
Language eng
Field of Research 080106 Image Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009703

Document type: Conference Paper
Collection: School of Information Technology
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