Quantitative method to assess caries via fluorescence imaging from the perspective of autofluorescence spectral analysis
Quantitative method to assess caries via fluorescence imaging from the perspective of autofluorescence spectral analysis
复制标题
从自发荧光光谱分析角度通过荧光成像定量评估龋齿的方法
DOI：
10.1088/1054-660x/25/8/085601
复制
发表时间：
2015-08-01
期刊：
影响因子：
1.2
通讯作者：
Chen, H.
中科院分区：
文献类型：
--
作者：
Chen, Q. G.;Zhu, H. H.;Chen, H.
提出了一种基于荧光成像系统的龋病定量判别方法。在405 nm激发下，对39个牙齿样本进行了自体荧光光谱研究，这些牙齿样本按国际龋病检测和评估系统等级分类。不同龋损的主要差异集中在565-750 nm的相对光谱强度范围。计算了光谱参数，定义为565-750 nm波段与整个光谱范围的比值。通过考虑我们的荧光彩色成像系统中的光谱参数（例如，自发荧光、滤光器和光谱灵敏度），统计地计算颜色分量的图像分量比R/（G + B）。结果表明，光谱参数与图像成分比值呈线性关系。因此，将图像成分比率分级为<0.66、0.66-1.06、1.06-1.62和>1.62，以分别对完好、早期衰变、已建立衰变和重度衰变组织进行定量分类。最后，实验获得了龋齿的荧光图像，并将相应的图像成分比例分布与分类结果进行了比较。提出了一种利用荧光成像系统来确定龋的数值等级的方法。该方法可应用于类似的成像系统。
A quantitative method to discriminate caries lesions for a fluorescence imaging system is proposed in this paper. The autofluorescence spectral investigation of 39 teeth samples classified by the International Caries Detection and Assessment System levels was performed at 405 nm excitation. The major differences in the different caries lesions focused on the relative spectral intensity range of 565–750 nm. The spectral parameter, defined as the ratio of wavebands at 565–750 nm to the whole spectral range, was calculated. The image component ratio R/(G + B) of color components was statistically computed by considering the spectral parameters (e.g. autofluorescence, optical filter, and spectral sensitivity) in our fluorescence color imaging system. Results showed that the spectral parameter and image component ratio presented a linear relation. Therefore, the image component ratio was graded as <0.66, 0.66–1.06, 1.06–1.62, and >1.62 to quantitatively classify sound, early decay, established decay, and severe decay tissues, respectively. Finally, the fluorescence images of caries were experimentally obtained, and the corresponding image component ratio distribution was compared with the classification result. A method to determine the numerical grades of caries using a fluorescence imaging system was proposed. This method can be applied to similar imaging systems.