ファジィc-meansクラスタリングによる歯科用デジタル画像診断システムの濃度の最適化と被曝線量軽減の検討(一般講演2)

抄録

Recently the digital dental imaging system (DDIS) has been developed and spread widely. The density distribution of DDIS images, however, are insufficient or inadequate. Therefore, the authors considered the density optimization of DDIS images, and applied the fuzzy reasoning and fuzzy c-means clustering algorithm for this purpose. According to our method, density distribution of most DDIS images could be improved appropriately. Moreover, this method could be applied to the dose reduction of the patients. Consequently, it was suggested that the absorbed dose could be decreased 38.3%.