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Jun Yang

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Proceedings Article | 27 November 2023 Poster + Paper

Feasibility study of quantifying size of port-wine stain (PWS) birthmarks using digital photos

Cheng Ke, Huiqi Zhan, Chunfa Wu, Zheng Huang, Yuanbo Huang, Jun Yang, Mingye Bi

Proceedings Volume 12770, 127702U (2023) https://doi.org/10.1117/12.2687490

KEYWORDS: Cameras, RGB color model, Photography, Color, Image processing, Skin

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Background and Objectives: Area quantification has always been of research interest as it is an important step in assessing the treatment efficacy of port-wine stains (PWS) birthmarks. The objective of this study was to investigate the potential application of cellphone camera combined with manual labeling for area quantification. Materials and Methods: First, the color of the untreated PWS lesions was measured and RGB values extracted. Then, a total 48 PWS patches to represent different color, shape and size were printed. Each PWS patch was placed on a 3D head model along with a 1 cm × 1 cm size reference for photographing using a cellphone camera. The lesion region and the small white square region were determined by manual labeling method. The number of pixels within the lesion region and the small white square region were counted and the area of the PWS lesion was calculated. In addition, the image assessment was also compared with the traditional grid counting methods. Results: Each PWS patches were photographed three times. The results showed that the average error rate of the proposed digital photo scheme for the area quantization was 0.132±0.055 and the average error rate of the grid counting scheme for the area quantization was 0.004±0.005. Conclusions: Preliminary study demonstrated that the use of cellphone photo scheme to quantify the area of PWS was feasibility but its error rate was higher than that of the grid method.

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