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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.

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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.

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basis functionsconfocalfall-offoptical 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.