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Influence of optical aberrations on depth-specific spatial frequency domain techniques.

Motasam Majedy1, Nandan Das1, Johannes Johansson1

  • 1Linköping Univ., Sweden.

Journal of Biomedical Optics
|November 11, 2022
PubMed
Summary

This study introduces a method to correct optical aberrations in spatial frequency domain imaging (SFDI) and spectroscopy (SFDS) measurements. The developed protocol accurately recovers subsurface optical properties, improving tissue assessment.

Keywords:
aberrationsquantitative spectroscopyspatial frequency domain imagingsubsurface optical propertiestissue simulating phantoms

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Optical Physics

Background:

  • Spatial frequency domain imaging (SFDI) and spectroscopy (SFDS) are advanced non-invasive tissue assessment techniques.
  • Optical aberrations can significantly hinder the accuracy of SFDI/S data processing and interpretation.

Purpose of the Study:

  • To develop a method for characterizing optical aberrations in SFDI/S measurements.
  • To propose a post-processing technique for compensating these aberrations and restoring subsurface optical properties.

Main Methods:

  • A custom SFDS system was used to measure absorption and scattering coefficients in phantoms at varying distances from focus.
  • Aberrations were quantified by comparing in-focus and out-of-focus optical property measurements.
  • A compensation method was evaluated using multi-distance measurements and multi-layer phantoms.

Main Results:

  • Depth-specific aberrations exhibited wavelength-dependent errors (40%–10%) in scattering and absorption.
  • The compensation method reduced scattering errors to within 1.3% (RMS) and absorption errors to within 3.8% across depths and top layer thicknesses.

Conclusions:

  • A protocol for characterizing and compensating defocus and chromatic aberrations in SFDI/S was established.
  • This method enables accurate recovery of subsurface optical properties, enhancing the reliability of SFDI/S for tissue analysis.