Consideration for Density Optimization and Dose Reduction of Digital Dental Imaging System Using Fuzzy Control

使用模糊控制的数字牙科成像系统密度优化和剂量减少的考虑

• 批准号: 09671925
• 负责人: TANAKA Takemasa
• 金额: $ 1.98万
• 依托单位: Kyushu University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09671925/
• 关键词: fuzzy reasoning; computer-assisted diagnosis; fuzzy c-means clustering; digital image; digital dental imaging system; computer-assistediagnosis; fuzzyc-meansclustering; digitalimage; digitaldentalimagingsystem

The digital dental imaging system (DDIS) has been developed and spread widely in recent years. The images of DDIS, however, aren't always so good, because of insufficient density distribution. Therefore, it seems that DDIS requires density optimization in an appropriate way. The authors 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 better than the conventional histogram equalization method.Moreover, this method could be applied for the reduction of absorbed dose of the patients. If the exposure time is shorter than standard one and the density of the image is insufficient, the density can be compensated acoording to the method described as above. Consequently, it was suggested that the absorbed dose could be decreased 38.3%.

近年来，数字牙科成像系统(DDIS)得到了广泛的发展和应用。然而，由于密度分布不充分，DDIS的图像并不总是那么好。因此，DDIS似乎需要以适当的方式进行密度优化。为此，作者应用了模糊推理和模糊C-均值聚类算法。与传统的直方图均衡化方法相比，该方法能更好地改善大多数DDIS图像的密度分布，并可用于减少患者的吸收剂量。如果曝光时间短于标准曝光时间，且图像密度不足，则可按上述方法补偿密度。因此，建议吸收剂量可减少38.3%。

项目成果

Tanaka T,Kanda S: "Computer-assisted deagnostic system for ultrasonography using fuzzy reasoning-Improvement with analvtic hierarchy process-" Biomedical Softcomputing and Human Sciences. 4. 43-48 (1998)

Tanaka T，Kanda S：“使用模糊推理的计算机辅助超声诊断系统 - 通过分析层次过程进行改进 -”生物医学软计算和人类科学。

Tanaka T,Kawazu T,Kanda S.: "Density optimization for digital dental imaging system using fuzzy reasoning and c-means clustering" Proceedings of the 10th Annual Meeting of Biomedical Fuzzy Systems Association. 75-76 (1997)

Tanaka T、Kawazu T、Kanda S.：“使用模糊推理和 c 均值聚类的数字牙科成像系统的密度优化”生物医学模糊系统协会第十届年会论文集。

Tanaka T, Kawazu T, Kanda S: "computer-assisted diagnostic system for ultrasonography using fuzzy reasoning -Consideration of defuzzyfication procedure-" Biomedical Softcomputing and Human Sciences. 5(in press). (1999)

Tanaka T、Kawazu T、Kanda S：“使用模糊推理的计算机辅助超声诊断系统 - 去模糊化程序的考虑 -” 生物医学软计算和人类科学。

田中武昌、河津俊幸、神田重信: "ファジィ理論による超音波診断支援システム-確定法(脱ファジィ化)に関する検討-" バイオメディカルファジィシステム学会1999年九州地方会学術集会論文集. 5. 17-20 (1999)

Takemasa Tanaka、Toshiyuki Kawazu、Shigenobu Kanda：“基于模糊理论的超声诊断支持系统-确定方法（去模糊化）的研究-”生物医学模糊系统学会1999年九州地区会议记录5. 17-20（1999年）。 ）

Tanaka T,Miwa K,Kanda S: "Application of fuzzy reasoning in an expert system for ultrasonography" Dentomaxillofacial Radiology. Vol.26. 125-131 (1997)

Tanaka T、Miwa K、Kanda S：“模糊推理在超声检查专家系统中的应用”牙颌面放射学。