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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

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Optimized OCT-based depth-resolved model for attenuation compensation using point-spread-function calibration.

Yaning Wang¹, Shuwen Wei¹, Shoujing Guo¹

¹Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, USA.

Proceedings of Spie--The International Society for Optical Engineering

|February 9, 2022

Summary

This summary is machine-generated.

A novel optical coherence tomography (OCT) method improves imaging depth by compensating for signal attenuation. This technique ensures uniform resolution across biological tissues, enhancing image quality for various applications.

Keywords:

Optical coherence tomography contrast improvement optical attenuation coefficient optimized depth-resolved estimation

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Area of Science:

Biomedical Optics
Medical Imaging Technology

Background:

Optical coherence tomography (OCT) is a valuable imaging modality, but signal attenuation with depth limits its penetration and resolution.
Existing depth-resolved methods struggle with accurate compensation, leading to under- or overestimation of signal intensity in biological tissues.

Purpose of the Study:

To propose and demonstrate a robust depth-resolved attenuation compensation method for OCT.
To enhance imaging uniformity and resolution across the entire depth range in OCT.

Main Methods:

Developed a novel OCT attenuation compensation algorithm incorporating an optimized axial point spread function (PSF).
Implemented the method using A-mode numerical simulations for preliminary validation.
Validated the algorithm through experimental imaging of phantoms and biological tissues (cornea).

Main Results:

Numerical simulations demonstrated stable and robust compensation across the full sample depth.
Experimental results with phantoms and corneal imaging showed good agreement with simulation findings.
The method effectively mitigated under- and overestimation issues inherent in biological tissues.

Conclusions:

The proposed OCT attenuation compensation method offers robust and uniform resolution over extended imaging depths.
This advancement holds promise for improving OCT performance in diverse biomedical imaging applications.
Quantitative metrics like signal-to-noise (SNR) and contrast-to-noise (CNR) confirmed the method's efficacy.