Elimination of honeycomb patterns in fiber bundle imaging by a superimposition method

Area of Science:

• Biomedical Imaging
• Optical Engineering

Background:

• Fiber bundle imaging often suffers from characteristic artifact structures, such as honeycomb patterns.
• These artifacts obscure fine details, limiting the diagnostic potential of imaging modalities like optical coherence tomography (OCT).

Purpose of the Study:

• To develop and demonstrate a superimposition method for alleviating artifact structures in fiber bundle imaging.
• To restore hidden information obscured by pixelation and enhance image quality.

Main Methods:

• A superimposition technique utilizing pixelated images captured from neighboring locations.
• Multiple adjacent images, with centers separated by one core radius in a square pattern, were superimposed for summation.
• The method was validated using optical coherence tomography (OCT).

Main Results:

• The superimposition method effectively reduced inherent honeycomb patterns in fiber bundle images.
• Pixelation effects were suppressed, leading to the restoration of hidden information.
• The restored images exhibited preserved edge sharpness in cellular and vascular structures.

Conclusions:

• The demonstrated superimposition method is effective in mitigating artifacts in fiber bundle imaging.
• This technique enhances image clarity and detail restoration, particularly beneficial for OCT applications.
• The method preserves critical structural boundaries, improving the interpretability of biological tissues.