Automated diagnosis system for dental diseases using functions of the humanvisual system

利用人类视觉系统功能的牙科疾病自动诊断系统

• 批准号: 11671870
• 负责人: KAWAZU Toshiyuki
• 金额: $ 2.3万
• 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: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11671870/
• 关键词: Dental Digital Radiography; Computer-Aided Diagnosis; 自動診断; 診断能; 検出能

The purpose of this project was to obtain the function of the human visual system from the average observer and apply it to the proximal caries diagnosis as a semi-automated system.1.Effects of the human visual system on the proximal caries diagnosisTwo types of recording media-the analogue film and the digital imaging films- were used for this experiment. The materials consisted of 27 third molar teeth extracted from young adolescents.Using these equipments and materials, a total of 594 digital images and 189 film radiographs were obtained. Seven oral radiologists evaluated one series at one time. Receiver operating characteristic (ROC) curves were obtained at each exposure of the recording system.In this experiment, it was concluded that radiation contrast registered by the recording medium determines the information required for the caries diagnosis. The effect of human visual system on the caries diagnosis was minimum.2.Semi-automated system for the proximal caries diagnosisUsing the results from the above experiment, we have developed the semi-automated system for the proximal caries diagnosis.In this system, the algorithm for the caries diagnosis is following :1) extraction of the contour of the proximal surface2) gray level measurement along the horizontal axis3) gray level profile along the proximal surface4) polynomial curve fitting to the profile5) extraction of the parameters from the function6) discrimination function for the caries using the above parametersDiagnostic accuracy obtained from the semi-automated system was comparable to that of the observers. Especially, it was most effective in the system using automated exposure compensation program.ConclusionThe present semi-automated system may be useful for the proximal caries diagnosis, especially in the system with automated exposure compensation.

本项目的目的是从普通观察者那里获取人类视觉系统的功能，并将其作为一个半自动系统应用于近端龋病诊断。1.人类视觉系统在近端龋病诊断中的作用本实验使用了两种记录介质-模拟胶片和数字成像胶片。材料包括27颗青少年拔除的第三磨牙，使用这些设备和材料，总共获得了594张数字图像和189张胶片。七位口腔放射科医生一次对一个系列进行了评估。在本实验中，记录介质记录的辐射对比度决定了龋病诊断所需的信息。利用上述实验结果，我们开发了近端龋病诊断的半自动系统。在该系统中，龋病诊断的算法如下：1)近端表面轮廓的提取；2)沿水平轴线的灰度测量；3)近端表面的灰度轮廓；4)多项式曲线拟合轮廓；5)从函数中提取参数6)利用上述参数对龋病的判别函数。结论本半自动系统可用于邻面龋病的诊断，尤其是在具有自动曝光补偿的系统中。