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Volume 10
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10.3390/app10072545
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Article

Multi-modal Anterior Eye Imager Combining Ultra-High Resolution OCT and Microvascular Imaging for Structural and Functional Evaluation of the Human Eye

by
Peng Xiao
1,†,
Zhengyu Duan
2,†,
Gengyuan Wang
1,
Yuqing Deng
1,
Qian Wang
1,
Jun Zhang
3,
Shanshan Liang
3,* and
Jin Yuan
1,*
1
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
2
School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
3
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China
*
Authors to whom correspondence should be addressed.
†
Authors contributed equally
Appl. Sci. 2020, 10(7), 2545; https://doi.org/10.3390/app10072545
Submission received: 3 March 2020 / Revised: 2 April 2020 / Accepted: 3 April 2020 / Published: 7 April 2020
(This article belongs to the Special Issue Optical Biomedical Imaging)
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Abstract

To establish complementary information for the diagnosis and evaluation of ocular surface diseases, we developed a multi-modal, non-invasive optical imaging platform by combining ultra-high resolution optical coherence tomography (UHR-OCT) with a microvascular imaging system based on slit-lamp biomicroscopy. Our customized UHR-OCT module achieves an axial resolution of ≈2.9 μm in corneal tissue with a broadband light source and an A-line acquisition rate of 24 kHz with a line array CCD camera. The microvascular imaging module has a lateral resolution of 3.5 μm under maximum magnification of ≈187.5× with an imaging rate of 60 frames/s, which is sufficient to image the conjunctival vessel network and record the movement trajectory of clusters of red blood cells. By combining the imaging optical paths of different modules, our customized multi-modal anterior eye imaging platform is capable of performing real-time cross-sectional UHR-OCT imaging of the anterior eye, conjunctival vessel network imaging, high-resolution conjunctival blood flow videography, fluorescein staining and traditional slit-lamp imaging on a single device. With self-developed software, a conjunctival vessel network image and blood flow videography were further analyzed to acquire quantitative morphological and hemodynamics parameters, including vessel fractal dimensions, blood flow velocity and vessel diameters. The ability of our multi-modal anterior eye imager to provide both structural and functional information for ophthalmic clinical applications was demonstrated on a healthy human subject and a keratitis patient.
Keywords: multi-modal imaging; UHR-OCT; microvascular imaging; ophthalmic imaging multi-modal imaging; UHR-OCT; microvascular imaging; ophthalmic imaging

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MDPI and ACS Style

Xiao, P.; Duan, Z.; Wang, G.; Deng, Y.; Wang, Q.; Zhang, J.; Liang, S.; Yuan, J. Multi-modal Anterior Eye Imager Combining Ultra-High Resolution OCT and Microvascular Imaging for Structural and Functional Evaluation of the Human Eye. Appl. Sci. 2020, 10, 2545. https://doi.org/10.3390/app10072545

AMA Style

Xiao P, Duan Z, Wang G, Deng Y, Wang Q, Zhang J, Liang S, Yuan J. Multi-modal Anterior Eye Imager Combining Ultra-High Resolution OCT and Microvascular Imaging for Structural and Functional Evaluation of the Human Eye. Applied Sciences. 2020; 10(7):2545. https://doi.org/10.3390/app10072545

Chicago/Turabian Style

Xiao, Peng, Zhengyu Duan, Gengyuan Wang, Yuqing Deng, Qian Wang, Jun Zhang, Shanshan Liang, and Jin Yuan. 2020. "Multi-modal Anterior Eye Imager Combining Ultra-High Resolution OCT and Microvascular Imaging for Structural and Functional Evaluation of the Human Eye" Applied Sciences 10, no. 7: 2545. https://doi.org/10.3390/app10072545

APA Style

Xiao, P., Duan, Z., Wang, G., Deng, Y., Wang, Q., Zhang, J., Liang, S., & Yuan, J. (2020). Multi-modal Anterior Eye Imager Combining Ultra-High Resolution OCT and Microvascular Imaging for Structural and Functional Evaluation of the Human Eye. Applied Sciences, 10(7), 2545. https://doi.org/10.3390/app10072545

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