Mattsson U, Heyden G, Chodorowski A, Gustavsson T, Jontell M, Bergquist F
Department of Oral Pathology, University of Göteborg, Sweden.
Acta Odontol Scand. 1994 Apr;52(2):86-92. doi: 10.3109/00016359409029060.
To improve diagnostic procedures and facilitate clinical decision-making, computer-assisted image analysis was performed on color slides from 30 patients with histopathologically verified oral lichenoid reactions. Areas from white hyperkeratotic and adjacent red inflamed areas of the lesions were selected and subjected to image analysis. The digitization of the color slides was done by means of an image scanner, and the digital information was transmitted to a personal computer for subsequent feature extraction and analysis. The different oral lesions were characterized as the difference in mean values between white hyperkeratotic and red inflamed areas, respectively, compared with clinically normal tissue. Statistical analyses were made on three different color systems: Red-Green-Blue (RGB), normalized red-green-blue (rgb), and Intensity-Hue-Saturation (IHS). The results showed statistically significant differences in all color systems for both the hyperkeratotic areas and adjacent inflammatory reactions. A linear correlation was obtained when the results of the image analysis of color variations were compared with a clinical score system for hyperkeratosis and inflammation evaluated by two investigators independently.
为改进诊断程序并促进临床决策，对30例经组织病理学证实为口腔苔藓样反应患者的彩色玻片进行了计算机辅助图像分析。从病变的白色角化过度区域和相邻的红色炎症区域选取部位进行图像分析。彩色玻片通过图像扫描仪进行数字化处理，数字信息传输到个人计算机进行后续特征提取和分析。与临床正常组织相比，不同的口腔病变分别以白色角化过度区域和红色炎症区域的平均值差异为特征。在三种不同的色彩系统上进行了统计分析：红-绿-蓝（RGB）、归一化红-绿-蓝（rgb）和强度-色调-饱和度（IHS）。结果显示，在所有色彩系统中，角化过度区域和相邻炎症反应均存在统计学上的显著差异。当将颜色变化的图像分析结果与由两名研究者独立评估的角化过度和炎症临床评分系统进行比较时，获得了线性相关性。
