1 大连理工大学光电工程与仪器科学学院,辽宁 大连 116024
2 大连医科大学附属第二医院眼科,辽宁 大连 116027
光学相干层析成像(OCT)是一种高速、高分辨率的生物医学成像技术,可实现微米级分辨率和毫米级深度成像。宽带光谱仪是其核心器件,直接决定了系统的轴向分辨率。面向小鼠视网膜高精度成像需求,笔者设计了一套基于自制光谱仪的OCT系统,并提出了一种基于系统性能指标(轴向分辨率和灵敏度下降)的光谱仪标定方法。通过理论计算和仿真,确定了光学器件的参数,并搭建了包括透镜、光栅和线扫描相机等硬件的系统。利用实验数据和光谱仪标定方法对光谱仪性能进行评估,结果表明:系统的有效成像深度可达2.5 mm,轴向分辨率优于3 μm,成像速率为100 kHz,成像范围内的灵敏度下降了23 dB,达到了OCT的应用需求。最后,将所搭建的光谱仪应用于小鼠视网膜成像实验,获得了良好的小鼠视网膜断层图像,并基于断层图像对两种不同小鼠视网膜各层的厚度进行了对比研究。
医用光学 光学相干层析成像 光谱仪 标定 视网膜成像 中国激光
2023, 50(21): 2107112
Author Affiliations
Abstract
1 Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P. R. China
2 Department of Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230041, P. R. China
3 Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, P. R. China
Cone photoreceptor cell identification is important for the early diagnosis of retinopathy. In this study, an object detection algorithm is used for cone cell identification in confocal adaptive optics scanning laser ophthalmoscope (AOSLO) images. An effectiveness evaluation of identification using the proposed method reveals precision, recall, and F1-score of 95.8%, 96.5%, and 96.1%, respectively, considering manual identification as the ground truth. Various object detection and identification results from images with different cone photoreceptor cell distributions further demonstrate the performance of the proposed method. Overall, the proposed method can accurately identify cone photoreceptor cells on confocal adaptive optics scanning laser ophthalmoscope images, being comparable to manual identification.
Biomedical image processing retinal imaging adaptive optics scanning laser ophthalmoscope object detection. Journal of Innovative Optical Health Sciences
2022, 15(1): 2250001
红外与激光工程
2020, 49(10): 20200333
1 BioMedTech Llc, Nizhny Novgorod 603155, Russia
2 Institute of Applied Physics of the Russian Academy of Science, Nizhny Novgorod 603950, Russia
optical coherence tomography (OCT) motion artifact correction retinal imaging numerical method Frontiers of Optoelectronics
2020, 13(4): 393
1 北京理工大学 光电学院 光电成像技术与系统教育部重点实验室,北京 100081
2 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033
本文设计了一种用于婴幼儿视网膜筛查的广域眼底相机。文中对该系统所包含的照明系统、成像系统的设计方法进行了探讨。首先,根据James Polans宽视场人眼模型和婴儿眼解剖学数据,建立了婴儿眼模型。接着,提出新的锥形光纤方案用于大视场照明。最后,重点介绍了广域眼底相机的成像系统(包括接触镜、中继物镜)的设计方法。设计实例表明:广域眼底相机的视场可以达到130°,对眼底的物方分辨率可以达到10 μm。设计结果符合眼底成像设备国家标准YY0634-2008,满足婴幼儿视网膜筛查的要求。
光学设计 广域视网膜成像 医用光学 optical design wide-area retinal imaging medical optics
Author Affiliations
Abstract
1 Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
2 Department of Biomedical Engineering, University of Science and Technology of China, Hefei 230041, China
3 Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
An automated superpixels identification/mosaicking method is presented for the analysis of cone photoreceptor cells with the use of adaptive optics scanning laser ophthalmoscope (AO-SLO) images. This is an image oversegmentation method used for the identification and mosaicking of cone photoreceptor cells in AO-SLO images. It includes image denoising, estimation of the cone photoreceptor cell number, superpixels segmentation, merging of superpixels, and final identification and mosaicking processing steps. The effectiveness of the presented method was confirmed based on its comparison with a manual method in terms of precision, recall, and F1-score of 77.3%, 95.2%, and 85.3%, respectively.
biomedical optics retinal imaging adaptive optics scanning laser ophthalmoscope cone photoreceptor cell superpixels Chinese Optics Letters
2020, 18(10): 101701
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
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02%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。
眼底成像 便携式设备 成像系统 数值仿真 retinal imaging portable device imaging system numerical simulation
Author Affiliations
Abstract
1 The Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P. R. China
2 The Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, P. R. China
3 University of Chinese Academy of Sciences, Beijing 100049, P. R. China
It is necessary to know the distribution of the Chinese eye's aberrations in clinical environment to guide high-resolution retinal imaging system design for large Chinese population application. We collected the monochromatic wave aberration of 332 healthy eyes and 344 diseased eyes in Chinese population across a 6.0-mm pupil. The aberration statistics of Chinese eyes including healthy eyes and diseased eyes were analyzed, and some differences of aberrations between the Chinese and European race were concluded. On this basis, the requirement for adaptive optics (AO) correction of the Chinese eye's monochromatic aberrations was analyzed. The result showed that a stroke of 20 m and ability to correct aberrations up to the 8th Zernike order were needed for reflective wavefront correctors to achieve near diffraction-limited imaging in both groups for a reference wavelength of 550 nm and a pupil diameter of 6.0 mm. To verify the analysis mentioned above, an AO flood-illumination system was established, and high-resolution retinal imaging in vivo was achieved for Chinese eye including both healthy and diseased eyes.
Ocular aberrations adaptive optics retinal imaging Journal of Innovative Optical Health Sciences
2017, 10(1): 1650038