Papas E B
Co-operative Research Centre for Eye Research and Technology, University of New South Wales, Sydney, Australia.
Invest Ophthalmol Vis Sci. 2000 Mar;41(3):687-91.
To establish objectively measurable characteristics of the conjunctival vasculature that correspond with the judgment of erythema by human observers.
Color images of bulbar conjunctiva from 21 subjects were digitally analyzed to extract the following variables characteristic of the scene: vessel width (W), number of vessels (V), proportion of area occupied by vessels (PA), relative redness both in vessels (RRV) and in the whole image (RRI), red-green difference both in vessels (RGV) and in the whole image (RGI), red-blue difference both in vessels (RBV) and in the whole image (RBI), and red hue value (RHV). These data were compared with subjective judgments by a panel of seven trained observers who independently rated erythema in the same images, using a 0 to 4 scale with decimal interpolation between grades.
Correlation analysis indicated significant associations (P<0.05) between the mean response of the human observers and all the objective variables except RHV. Associations with the morphometric variables PA (R2 = 0.93) and V(R2 = 0.90) were markedly stronger than for the best colorimetric variable RBV (R2 = 0.62).
Judgments of erythema made by human observers do not rely primarily on color but can be closely approximated by a univariate, linear model involving only the proportion of the scene occupied by vessels. Under the conditions of this study, grading of erythema by trained observers can be considered to constitute measurement to at least an interval level.
建立与人类观察者对红斑的判断相对应的、可客观测量的结膜血管系统特征。
对21名受试者的球结膜彩色图像进行数字分析,以提取以下场景特征变量:血管宽度(W)、血管数量(V)、血管占据的面积比例(PA)、血管内的相对发红度(RRV)和整个图像的相对发红度(RRI)、血管内的红-绿差值(RGV)和整个图像的红-绿差值(RGI)、血管内的红-蓝差值(RBV)和整个图像的红-蓝差值(RBI)以及红色色调值(RHV)。将这些数据与由7名训练有素的观察者组成的小组的主观判断进行比较,这些观察者使用0至4的量表并在等级之间进行十进制插值,对相同图像中的红斑进行独立评分。
相关性分析表明,人类观察者的平均反应与除RHV之外的所有客观变量之间存在显著关联(P<0.05)。与形态计量学变量PA(R2 = 0.93)和V(R2 = 0.90)的关联明显强于最佳比色变量RBV(R2 = 0.62)。
人类观察者对红斑的判断并非主要依赖于颜色,而是可以通过仅涉及血管占据场景比例的单变量线性模型来紧密近似。在本研究条件下,训练有素的观察者对红斑的分级可被视为至少构成区间水平的测量。