中国光学, 2019, 12 (1): 97, 网络出版: 2019-03-06   

基于智能手机的眼底成像系统

Smartphone-based fundus imaging system
作者单位
1 北京大学 工学院 生物医学工程系, 北京 100871
2 东北大学 中荷生物医学与信息工程学院, 辽宁 沈阳 110167
摘要
眼底成像技术可检测临床视网膜组织状态, 其检测结果已成为多种眼底疾病诊断的重要依据。然而, 传统的眼底成像系统需要专业医护人员操作, 且具有体积大、价格昂贵等缺点。随着智能手机的图像采集、存储、数据传输等功能的不断提升, 基于智能手机的眼底成像系统可有效弥补传统眼底成像系统的上述缺陷。在本研究中, 我们设计了照明和成像光路并利用3D打印技术将其小型化, 通过与智能手机相结合实现了对人眼视网膜图像的采集。结果表明, 基于智能手机的眼底相机距离模拟眼的工作距离约为17 mm, 安置于体积仅为88 mm×79 mm×42 mm(长×宽×高)的手机外设配件中。随后, 利用Zemax对系统光学参数进行了进一步优化。经优化后的成像系统, 畸变保持在02%范围内, 场曲小于10 μm。该系统具有便携性良好、无创、价格低廉等优点, 未来可用于多种眼底疾病的社区筛查工作。
Abstract
Fundus photography is used to examine the status of retinas, providing important diagnostic information about retinal diseases. Traditional fundus imaging systems are usually disadvantageous for their large size, difficulty of operation, high cost, etc.. With the recent rapid development of smartphones, their cameras, storage and transmission systems, have improved significantly, making them capable of being used for fundus imaging. Thus, the development and design of the fundus imaging system based on smartphones can overcome the shortcomings of traditional fundus imaging. In this study, the imaging and illumination optical path of the smartphone-based fundus imaging system was designed and the size was minimized as a smartphone accessary using 3D printing. Based on the results from the smartphone-based retinal imaging system, the working distance between the proposed system and an artificial eye was approximately 17 mm and the system was placed in a smartphone accessory with a size of 88 mm×79 mm×42 mm. Zemax was used to further optimize the design for better image quality. The distortion of the optimized imaging system is less than 02% and the curvature of field is less than 10 μm. The proposed system is portable, noninvasive and cost effective, which is expected to be applied in community hospitals in the near future.

丛婧, 俎明明, 李洪涛, 崔笑宇, 陈硕, 席鹏. 基于智能手机的眼底成像系统[J]. 中国光学, 2019, 12(1): 97. CONG Jing, ZU Ming-ming, LI Hong-tao, CUI Xiao-yu, CHEN Shuo, XI Peng. Smartphone-based fundus imaging system[J]. Chinese Optics, 2019, 12(1): 97.

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