Consideration for Density Optimization and Dose Reduction of Digital Dental Imaging System Using Fuzzy C-Means Clustering

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概要

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• Recently the digital dental imaging system (DDIS) has been developed and its use has spread widely. Although it has several advantages, the image quality is not better than that of conventional dental radiographs. Particularly, the density distributions of DDIS images are often insufficient and inadequate. Therefore, the authors considered the density optimization of DDIS images. For this aim, we applied a fuzzy c-means clustering algorithm because the pattern of DDIS images has an extensive variety. Using our method, the denstity distribution of most DDIS images can be improved appropriately. In addition, this method provides a dose reduction for the patients. Consequently, 38.3% of the absorbed dose was decreased.

• バイオメディカル・ファジィ・システム学会の論文

著者

• KAWAZU Toshiyuki

  Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University

• Kanda Shigenobu

  Oral And Maxillofacial Radiology Faculty Of Dentistry Kyushu University

• Tanaka Takemasa

  Oral and Maxillofacial Radiology, Faculty of Dentistry, Kyushu University

• Kawazu Toshiyuki

  Oral and Maxillofacial Radiology, Faculty of Dentistry, Kyushu University

• Kawazu Toshiyuki

  Oral And Maxillofacial Radiology Faculty Of Dentistry Kyushu University

• Tanaka Takemasa

  Oral And Maxillofacial Radiology Faculty Of Dentistry Kyushu University

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• Quantitative analysis of radiological changes in alveolar bone around connected osseo-integrated dental implants and natural abutment teeth
• Consideration for Density Optimization and Dose Reduction of Digital Dental Imaging System Using Fuzzy C-Means Clustering
• Attempt of adaptive neuro-fuzzy inference system(ANFIS)for ultrasonographic diagnosis

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