光学仪器, 2023, 45 (6): 25, 网络出版: 2024-02-29  

基于图像技术量化皮秒激光治疗纹身祛除效果研究

Reaserch on quantifying the tattoo removal effect of picosecond laser treatment based on image technology
作者单位
1 上海理工大学 生物医学光学和视光学研究所,上海 200093
2 同济大学 上海皮肤病医院光医学研究所,上海 200443
3 上海理工大学 光学仪器与系统教育部工程研究中心,上海 200093
摘要
尽管纹身的人数在增加,但希望祛除纹身的需求量也在增加。现在纹身祛除大多采用激光进行治疗,但仅凭肉眼观察的单次疗效不够理想,往往需要重复治疗。因此,研究了基于图像技术量化评价治疗的效果。使用皮秒激光对猪皮的不同颜色的纹身进行照射,采集治疗部位与正常皮肤组织的图像,再标准化提取部位,并对此部位的图像进行特征提取后,量化照射前后的纹身所占面积比,进而得到祛除率。为了验证量化算法的可靠性,设计了不同对比度的标准图像来计算色素占比,得到的误差均小于0.01%,证明该算法是可靠的。对于色素祛除的量化评价能客观反映激光祛除色素的效果,避免了因医师的主观判断所造成的疗效偏差,为治疗参数的选择及疗效的提高等提供了帮助。
Abstract
Despite the rising popularity of tattoos, demand for their removal has also increased. Tattoo removal is mostly treated by laser. But it requires repeated treatment, and the single curative effect is not accurate enough by visual examination. This article mainly studies the quantitative evaluation of treatment effect based on image technology. Tattoos were made on the pigskin with different colors, then we used a picosecond laser set at various energy parameters to remove the tattoos. The images of the treated area and normal skin tissue were collected, and the extracted area was standardized. After extracting features, the area ratio of tattoos before and after irradiation was quantified, and then the removal rate was obtained. In order to verify the reliability of the quantization algorithm, standard images with different contrast are designed to calculate the proportion of pigment, and the errors obtained are all less than 0.01%, which proves that the algorithm is reliable. The quantitative evaluation of pigment removal can objectively reflect the effect of laser pigment removal, and avoid the deviation of curative effect caused by subjective judgment. This study provides great help in selecting laser treatment parameters and improving the efficacy.

熊利能, 陈琦, 杜根, 项华中, 张大伟, 王成, 王秀丽. 基于图像技术量化皮秒激光治疗纹身祛除效果研究[J]. 光学仪器, 2023, 45(6): 25. Lineng XIONG, Qi CHEN, Gen DU, Huazhong XIANG, Dawei ZHANG, Cheng WANG, Xiuli WANG. Reaserch on quantifying the tattoo removal effect of picosecond laser treatment based on image technology[J]. Optical Instruments, 2023, 45(6): 25.

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