Abstract
High-resolution optical coherence tomography (OCT) retinal imaging is important to noninvasively visualize the various retinal structures to aid in better understanding of the pathogenesis of vision-robbing diseases. However, conventional OCT systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking OCT system with automatic focus optimization for high-resolution, extended-focal-range clinical retinal imaging by incorporating a variable-focus liquid lens into the sample arm optics. Retinal layer tracking and selection was performed using a graphics processing unit accelerated processing platform for focus optimization, providing real-time layer-specific en face visualization. After optimization, multiple volumes focused at different depths were acquired, registered, and stitched together to yield a single, high-resolution focus-stacked dataset. Using this system, we show high-resolution images of the retina and optic nerve head, from which we extracted clinically relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.
| Original language | English (US) |
|---|---|
| Article number | 026007 |
| Journal | Journal of biomedical optics |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1 2016 |
| Externally published | Yes |
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Keywords
- en face optical coherence tomography
- focus-stacking
- graphics processing unit acceleration
- high-resolution optical coherence tomography
- variable-focus lens
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
Cite this
Retinal optical coherence tomography at 1 μm with dynamic focus control and axial motion tracking. / Cua, Michelle; Lee, Sujin; Miao, Dongkai; Ju, Myeong Jin; Mackenzie, Paul J.; Jian, Yifan; Sarunic, Marinko V.
In: Journal of biomedical optics, Vol. 21, No. 2, 026007, 01.02.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Retinal optical coherence tomography at 1 μm with dynamic focus control and axial motion tracking
AU - Cua, Michelle
AU - Lee, Sujin
AU - Miao, Dongkai
AU - Ju, Myeong Jin
AU - Mackenzie, Paul J.
AU - Jian, Yifan
AU - Sarunic, Marinko V.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - High-resolution optical coherence tomography (OCT) retinal imaging is important to noninvasively visualize the various retinal structures to aid in better understanding of the pathogenesis of vision-robbing diseases. However, conventional OCT systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking OCT system with automatic focus optimization for high-resolution, extended-focal-range clinical retinal imaging by incorporating a variable-focus liquid lens into the sample arm optics. Retinal layer tracking and selection was performed using a graphics processing unit accelerated processing platform for focus optimization, providing real-time layer-specific en face visualization. After optimization, multiple volumes focused at different depths were acquired, registered, and stitched together to yield a single, high-resolution focus-stacked dataset. Using this system, we show high-resolution images of the retina and optic nerve head, from which we extracted clinically relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.
AB - High-resolution optical coherence tomography (OCT) retinal imaging is important to noninvasively visualize the various retinal structures to aid in better understanding of the pathogenesis of vision-robbing diseases. However, conventional OCT systems have a trade-off between lateral resolution and depth-of-focus. In this report, we present the development of a focus-stacking OCT system with automatic focus optimization for high-resolution, extended-focal-range clinical retinal imaging by incorporating a variable-focus liquid lens into the sample arm optics. Retinal layer tracking and selection was performed using a graphics processing unit accelerated processing platform for focus optimization, providing real-time layer-specific en face visualization. After optimization, multiple volumes focused at different depths were acquired, registered, and stitched together to yield a single, high-resolution focus-stacked dataset. Using this system, we show high-resolution images of the retina and optic nerve head, from which we extracted clinically relevant parameters such as the nerve fiber layer thickness and lamina cribrosa microarchitecture.
KW - en face optical coherence tomography
KW - focus-stacking
KW - graphics processing unit acceleration
KW - high-resolution optical coherence tomography
KW - variable-focus lens
UR - http://www.scopus.com/inward/record.url?scp=84959239018&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959239018&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.21.2.026007
DO - 10.1117/1.JBO.21.2.026007
M3 - Article
C2 - 26882449
AN - SCOPUS:84959239018
VL - 21
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
SN - 1083-3668
IS - 2
M1 - 026007
ER -