Adaptive point-scan imaging beyond the frame rate-resolution limit with scene-reactive scan trajectories

Area of Science:

• Biomedical Imaging
• Optical Engineering
• Medical Technology

Background:

• Point-scanned imaging modalities, including optical coherence tomography (OCT), face inherent frame rate limitations.
• These limitations are determined by factors such as image resolution, sampling rates, and scanner dynamics.
• Dynamic scenes with static backgrounds pose a challenge for conventional scanning methods.

Purpose of the Study:

• To develop and evaluate an adaptive scanning strategy to overcome frame rate limitations in point-scanned imaging.
• To enhance imaging speed for dynamic scenes without sacrificing image quality.
• To enable advanced applications requiring high frame rates, such as multi-target tracking and ophthalmic surgery.

Main Methods:

• Implemented an adaptive scanning approach utilizing a probabilistic method.
• The probabilistic approach balanced re-imaging of known dynamic scan positions with exploration of new ones.
• Evaluated the adaptive scanning technique using a swept-source OCT system in simulated multi-target tracking and ophthalmic surgery scenarios.

Main Results:

• Achieved frame rate speedups exceeding 5x compared to conventional scanning methods.
• Demonstrated that the adaptive scanning approach maintained image quality without degradation.
• The performance achieved would typically require a significantly faster optical source.

Conclusions:

• Adaptive scanning effectively bypasses frame rate limits in point-scanned imaging modalities like OCT.
• The probabilistic strategy offers a viable solution for imaging dynamic scenes efficiently.
• This technique significantly enhances imaging speed and quality for demanding applications, potentially reducing hardware costs.