Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 19 Rainis Blvd., LV-1586 Rīga, Latvia.
Vetamplify SIA, Veterinary Services, 57/59-32 Krišjāņa Valdemāra Str., LV-1010 Rīga, Latvia.
Sensors (Basel). 2020 Oct 31;20(21):6234. doi: 10.3390/s20216234.
Quality smartphone cameras and affordable dermatoscopes have enabled teledermoscopy to become a popular medical and veterinary tool for analyzing skin lesions such as melanoma and erythema. However, smartphones acquire images in an unknown RGB color space, which prevents a standardized colorimetric skin analysis. In this work, we supplemented a typical veterinary teledermoscopy system with a conventional color calibration procedure, and we studied two mid-priced smartphones in evaluating native and erythematous canine skin color. In a laboratory setting with the ColorChecker, the teledermoscopy system reached CIELAB-based color differences Δ of 1.8-6.6 (CIE76) and 1.1-4.5 (CIE94). Intra- and inter-smartphone variability resulted in the color differences (CIE76) of 0.1, and 2.0-3.9, depending on the selected color range. Preliminary clinical measurements showed that canine skin is less red and yellow (lower a* and b* for Δ of 10.7) than standard Caucasian human skin. Estimating the severity of skin erythema with an erythema index led to errors between 0.5-3%. After constructing a color calibration model for each smartphone, we expedited clinical measurements without losing colorimetric accuracy by introducing a simple image normalization on a white standard. To conclude, the calibrated teledermoscopy system is fast and accurate enough for various colorimetric applications in veterinary dermatology.
高质量的智能手机摄像头和价格实惠的皮肤镜使远程皮肤镜检查成为一种流行的医学和兽医工具,可用于分析黑色素瘤和红斑等皮肤病变。然而,智能手机获取的图像处于未知的 RGB 颜色空间,这使得皮肤的比色分析无法标准化。在这项工作中,我们为典型的兽医远程皮肤镜检查系统补充了常规的颜色校准程序,并研究了两款中端智能手机在评估原生和红斑犬皮肤颜色方面的性能。在使用 ColorChecker 的实验室环境中,远程皮肤镜检查系统的基于 CIELAB 的颜色差异 Δ 达到 1.8-6.6(CIE76)和 1.1-4.5(CIE94)。智能手机的内部和外部变异性导致颜色差异(CIE76)为 0.1,而根据所选颜色范围,差异为 2.0-3.9。初步临床测量表明,犬类皮肤比标准高加索人皮肤的红色和黄色(较低的 a和 b)要少(Δ为 10.7)。使用红斑指数来估计皮肤红斑的严重程度会导致 0.5-3%的误差。在为每部智能手机构建颜色校准模型后,我们通过在白色标准上进行简单的图像归一化,加快了临床测量速度,而不会降低比色精度。总之,经过校准的远程皮肤镜检查系统在兽医皮肤病学的各种比色应用中既快速又准确。