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Bone Loss Detection in Dental Radiography by Domain Knowledge Based Multi-template  

Ahn, Yon-Hak (Sejong University)
Chae, Ok-Sam (Kyunghee University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.3, 2010 , pp. 70-80 More about this Journal
Abstract
This study proposes the algorithm to automate image alignment and detect marginal bone destructions, based on subtraction radiography for dental radiographic images necessary for dental PACS, which hasn't been covered by related literatures. The proposed algorithm enables a quick and precise detection of marginal bone destructions around teeth including implant through the knowlege-based multi-template matching in reference to ROI(Region Of Interest) obtained from applicable teeth using information about their geometric forms to solve problems single-template matching is exposed to. Actually, the test showed that it was possible not only to quickly and precisely detect marginal bone destructions around teeth, but also to get more objective and quantitative results through the algorithm.
Keywords
bone loss detection; multi-template matching; image alignment; dental radiography;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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