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使用紫外线荧光标记物进行医学模拟的污染区域预测:一种手机应用方法。

Prediction of Contaminated Areas Using Ultraviolet Fluorescence Markers for Medical Simulation: A Mobile Phone Application Approach.

作者信息

Chiu Po-Wei, Hsu Chien-Te, Huang Shao-Peng, Chiou Wu-Yao, Lin Chih-Hao

机构信息

Department of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.

Department of Mold and Die Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80782, Taiwan.

出版信息

Bioengineering (Basel). 2023 Apr 26;10(5):530. doi: 10.3390/bioengineering10050530.

Abstract

The use of ultraviolet fluorescence markers in medical simulations has become popular in recent years, especially during the COVID-19 pandemic. Healthcare workers use ultraviolet fluorescence markers to replace pathogens or secretions, and then calculate the regions of contamination. Health providers can use bioimage processing software to calculate the area and quantity of fluorescent dyes. However, traditional image processing software has its limitations and lacks real-time capabilities, making it more suitable for laboratory use than for clinical settings. In this study, mobile phones were used to measure areas contaminated during medical treatment. During the research process, a mobile phone camera was used to photograph the contaminated regions at an orthogonal angle. The fluorescence marker-contaminated area and photographed image area were proportionally related. The areas of contaminated regions can be calculated using this relationship. We used Android Studio software to write a mobile application to convert photos and recreate the true contaminated area. In this application, color photographs are converted into grayscale, and then into black and white binary photographs using binarization. After this process, the fluorescence-contaminated area is calculated easily. The results of our study showed that within a limited distance (50-100 cm) and with controlled ambient light, the error in the calculated contamination area was 6%. This study provides a low-cost, easy, and ready-to-use tool for healthcare workers to estimate the area of fluorescent dye regions during medical simulations. This tool can promote medical education and training on infectious disease preparation.

摘要

近年来,紫外线荧光标记物在医学模拟中的应用变得流行起来,尤其是在新冠疫情期间。医护人员使用紫外线荧光标记物来替代病原体或分泌物,然后计算污染区域。医疗服务提供者可以使用生物图像处理软件来计算荧光染料的面积和数量。然而,传统的图像处理软件有其局限性,缺乏实时处理能力,使其更适合实验室使用而非临床环境。在本研究中,使用手机来测量医疗过程中的污染区域。在研究过程中,使用手机摄像头以正交角度拍摄污染区域。荧光标记物污染区域与拍摄图像区域成比例关系。利用这种关系可以计算出污染区域的面积。我们使用安卓工作室软件编写了一个移动应用程序来转换照片并重新创建真实的污染区域。在这个应用程序中,彩色照片先转换为灰度照片,然后使用二值化处理转换为黑白二值照片。经过这个过程后,荧光污染区域就很容易计算出来了。我们的研究结果表明,在有限距离(50 - 100厘米)且环境光可控的情况下,计算出的污染区域误差为6%。本研究为医护人员在医学模拟过程中估算荧光染料区域面积提供了一种低成本、简便且随时可用的工具。该工具可促进传染病防控方面的医学教育和培训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79a7/10215908/a3556c2afeea/bioengineering-10-00530-g001.jpg

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