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Basis function model to extract the combined confocal and fall-off function from multiple optical coherence

Daniel J Phan¹, Martin Were², Jörn-Hendrik Weitkamp³

¹Vanderbilt University, Vanderbilt Biophotonics Center, Department of Biomedical Engineering, Nashville, Tennessee, United States.

Journal of Biomedical Optics

|March 3, 2025

Summary

This summary is machine-generated.

A new single-shot method accurately corrects depth-dependent effects in optical coherence tomography (OCT) images by extracting combined confocal and fall-off functions. This improves diagnostic accuracy through precise attenuation coefficient calculations.

Keywords:

basis functions confocal fall-off optical coherence tomography

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Area of Science:

Biomedical Optics
Medical Imaging Technology

Background:

Optical coherence tomography (OCT) is crucial for analyzing depth-dependent sample information.
System-specific effects like confocal effects and sensitivity fall-off degrade OCT image accuracy.
Accurate image interpretation necessitates correction of these depth-dependent artifacts.

Purpose of the Study:

To develop a novel single-shot method for extracting combined confocal and fall-off functions.
To eliminate system-generated depth-dependent effects from OCT images.
To enhance the accuracy of OCT-derived quantitative information.

Main Methods:

A single-shot approach models the combined function as a linear combination of basis functions.
Coefficients are determined using vertically shifted A-scans or B-scans from the same sample.
No prior knowledge of OCT system parameters or function forms is required.

Main Results:

The method was validated using simulations and OCT images of phantoms, biological samples, and human retina.
Demonstrated superior performance compared to the existing Ratio Fit method.
Successfully extracted combined confocal and fall-off functions from OCT data.

Conclusions:

The developed method significantly improves the extraction of depth-dependent effects in OCT.
Enhanced accuracy in attenuation coefficient calculations will lead to better medical diagnoses.
Enables advanced OCT applications requiring precise removal of all depth-dependent image effects.