激光生物学报, 2020, 29 (2): 142, 网络出版: 2021-01-27  

基于病灶图像特征提取的光动力治疗方案

Photodynamic Therapy Based on Feature Extraction of Lesion Images
作者单位
福建师范大学, 医学光电科学与技术教育部重点实验室, 福建省光子技术重点实验室, 福州 350007
摘要
识别和分析病灶区域是光动力治疗的一个重要环节。以鲜红斑痣疾病为例, 光动力治疗是利用光、光敏剂和分子氧对病变细胞进行强烈的光动力作用, 让活性氧杀死病变细胞, 最终达到治疗疾病的目的。传统的治疗方案存在病灶区域无法精确诊断、无法精准治疗和总体治疗成本较高等问题。本研究方案设计了一款用于照射治疗鲜红斑痣的窄光谱LED光源, 根据病灶特征计算病灶区域分布与病灶程度, 最后根据计算结果制作非均匀透射密度的胶片, 用于精准调控治疗光源强度。试验结果显示,图像特征提取技术、设计的光源和胶片能够解决光动力治疗中无法精确诊断、无法精准治疗和治疗光源均匀性等问题, 在试验描述的鲜红斑痣治疗方面具有广阔的应用前景。
Abstract
The feature recognition and extraction of lesions has always been a classic problem in the field of medical image processing. The feature extraction of lesion images is to transform the original image into a set of characteristic images with obvious physical meaning and statistical significance. Identifying the lesion area and analyzing the condition of the lesion area is an important part of photodynamic therapy. Taking the red spot disease as an example, photodynamic therapy uses light, photosensitizer and molecular oxygen to exert a strong photodynamic effect on the diseased cells, allowing the active oxygen to kill the diseased cells, and finally achieve the purpose of treating the disease. Traditional treatment options have problems such as inability to accurately diagnose the lesion area, inability to accurately treat, and high overall treatment costs. This study designed a narrow-spectrum LED light source for irradiation treatment of port wine stains, and calculated the distribution of lesions and the degree of lesions according to the characteristics of the lesions. Finally, based on the calculation results, the film with non-uniform transmission density was used to precisely control the intensity of the treatment light source. The experimental results show that the image feature extraction technology, the designed light source and the film can solve the problems of inaccurate diagnosis, inaccurate treatment and treatment source uniformity, and have broad application prospects in the treatment of port wine stains described in the experiment.

梅启升, 陈玉芳, 吴振聪, 王敏. 基于病灶图像特征提取的光动力治疗方案[J]. 激光生物学报, 2020, 29(2): 142. MEI Qisheng, CHEN Yufang, WU Zhencong, WANG Ming. Photodynamic Therapy Based on Feature Extraction of Lesion Images[J]. Acta Laser Biology Sinica, 2020, 29(2): 142.

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