Dynamic Retinal Illumination for Artifact-Free Burst Imaging
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Solution Overview
Problem
Existing retinal imaging technologies fail to efficiently reduce or eliminate image artifacts such as corneal reflections, iris reflections, and lens flare, which degrade the quality of retinal images.
Innovation Solution
A retinal burst imaging system using dynamic illumination patterns to capture multiple image frames with varying illumination configurations, allowing for the identification and exclusion of artifact-prone regions and combination of artifact-free regions into a high-quality composite image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bright illumination is used to improve image fidelity, then image quality improves, but lens flare and other image artifacts increase
Solution Approach 1:
The retinal image is divided into multiple regions based on artifact characteristics. Artifact-prone regions are identified and segmented from artifact-free regions, allowing selective combination of image portions from multiple frames to create a final composite image that excludes artifacts while maintaining high illumination benefits.
Solution Approach 2:
Multiple image frames are captured in rapid succession with bright illumination, each frame containing different random artifact patterns. By acquiring a series of periodic images and combining them, the system exploits the fact that artifacts vary between frames while the underlying retinal structure remains constant, enabling artifact elimination through statistical combination.
2Measurement precision
If multiple image frames are captured with different illumination patterns, then image artifacts are reduced, but imaging time increases
Solution Approach 1:
The system pre-identifies artifact-prone regions in each captured frame before final image assembly. By detecting and flagging these regions in advance during the capture phase, the algorithm can efficiently assemble the final artifact-free composite image without requiring time-consuming post-processing analysis, thus reducing total imaging time while maintaining quality.
3Measurement precision
If bright illumination is used to improve image fidelity, then image quality improves, but corneal reflections and iris reflections increase
Solution Approach 1:
The system accepts that bright illumination necessarily produces corneal and iris reflections, but transforms this harmful effect into a beneficial one by using the reflections as identifiable markers. These consistent reflection patterns across frames are detected and used to guide the assembly process, where artifact-free regions are preferentially selected, effectively converting the harmful reflections into useful alignment and selection references.
Data Source
Figure 1A~1B
Figure 2A~2D
Figure 3
AI summary
A technique for retinal images includes configuring a dynamic illuminator to illuminate the retina with an illumination pattern. An image frame of the retina is captured while illuminated with the illumination pattern. The configuring and the capturing are iterated to sequentially reconfigure the dynamic illuminator to illuminate the retina with a plurality of different illumination patterns and to capture a plurality of image frames each illuminated with one of the different illumination patterns. The image frames are combined into a composite retinal image.