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A Dual-Camera High-Resolution Hyperspectral Imaging System for the Retina
Minh Ha Tran1,2, Michelle Bryarly1,2, Kelden Pruitt1,2
1Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Summary
A new dual-camera system combines hyperspectral imaging (HSI) and RGB imaging for detailed retinal analysis. This technology accurately measures retinal vessel diameter and oxygenation, advancing biomedical diagnostics.
Area of Science:
- Biomedical optics
- Medical imaging
- Ophthalmology
Background:
- Hyperspectral imaging (HSI) is valuable for biological tissue analysis.
- Retinal imaging requires high spatial and spectral resolution for detailed analysis.
- Existing methods may lack the combined resolution needed for fine vascular structures.
Purpose of the Study:
- To develop a dual-camera system integrating HSI and high-resolution RGB imaging for retinal analysis.
- To enhance HSI spatial resolution using pan-sharpening algorithms.
- To develop and validate algorithms for retinal vessel diameter and oxygenation measurement.
Main Methods:
- Developed a dual-camera system combining HSI and RGB imaging.
- Evaluated pan-sharpening algorithms (PSGAN yielding best results with RMSE 2.15 × 10-2).
- Validated algorithms on a mouse retinal phantom and anesthetized mice.
Main Results:
- The system resolved fine structural details, including small retinal blood vessels.
- Measured average arteriole diameter (45.7 μm) and venule diameter (31.5 μm).
- Determined average arteriole oxygenation (96.2%) and venule oxygenation (76.3%).
Conclusions:
- The developed dual-camera system offers a versatile tool for retinal imaging.
- The system enables accurate measurement of retinal vessel diameter and oxygenation.
- Potential applications include research and clinical diagnostics for retinal conditions.
