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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
Published on: August 4, 2018
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Retinal optical coherence tomography at 1 μm with dynamic focus control and axial motion tracking
Michelle Cua1, Sujin Lee1, Dongkai Miao1
1Simon Fraser University, Department of Engineering Science, 8888 University Drive, Burnaby, British Columbia V5A1S6, Canada.
Journal of Biomedical Optics
|February 17, 2016
Summary
This study introduces a novel focus-stacking optical coherence tomography (OCT) system. It achieves high-resolution, extended-depth retinal imaging for better disease pathogenesis understanding.
Area of Science:
- Ophthalmology
- Biomedical Imaging
- Optical Engineering
Background:
- Conventional optical coherence tomography (OCT) systems face limitations in balancing lateral resolution and depth-of-focus.
- Accurate visualization of retinal structures is crucial for understanding vision-robbing diseases.
Purpose of the Study:
- To develop a focus-stacking OCT system with automatic focus optimization.
- To achieve high-resolution, extended-focal-range clinical retinal imaging.
Main Methods:
- Incorporation of a variable-focus liquid lens into the sample arm optics.
- Utilizing a GPU-accelerated platform for real-time retinal layer tracking and focus optimization.
- Acquiring, registering, and stitching multiple OCT volumes focused at different depths.
Main Results:
- Demonstration of a focus-stacking OCT system capable of high-resolution retinal imaging.
- Successful extraction of clinically relevant parameters like nerve fiber layer thickness and lamina cribrosa microarchitecture.
- Generation of a single, high-resolution focus-stacked dataset from multiple acquisitions.
Conclusions:
- The developed focus-stacking OCT system overcomes the depth-of-focus limitations of conventional OCT.
- This technology enables enhanced visualization of retinal and optic nerve head structures.
- It holds potential for improved diagnosis and understanding of retinal diseases.
