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Optical property uncertainty estimates for spatial frequency domain imaging.

Vivian Pera1, Kavon Karrobi1, Syeda Tabassum2

  • 1Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA.

Biomedical Optics Express
|March 20, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a method to estimate uncertainties in optical properties derived from spatial frequency domain imaging (SFDI). This approach improves the reliability of tissue optical property measurements and chromophore concentration analysis.

Keywords:
(110.0113) Imaging through turbid media(170.1580) Chemometrics(170.3880) Medical and biological imaging(170.6510) Spectroscopy, tissue diagnostics(290.1990) Diffusion

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Area of Science:

  • Biomedical optics
  • Medical imaging
  • Optical physics

Background:

  • Spatial frequency domain imaging (SFDI) quantifies tissue optical properties like absorption and scattering coefficients.
  • Accurate estimation of these properties is crucial for extracting chromophore concentrations.
  • Current methods often lack reliable uncertainty quantification, especially when using look-up table (LUT) algorithms.

Purpose of the Study:

  • To develop a method for estimating uncertainties in optical properties obtained via SFDI.
  • To enable theoretical performance analysis of SFDI and optimize spatial frequency selection.
  • To provide practical uncertainty estimates for LUT-based SFDI analysis and chromophore concentration calculations.

Main Methods:

  • Utilizing diffuse reflectance measurements with spatially modulated light.
  • Employing the Cramér-Rao bound to theoretically assess SFDI performance.
  • Developing a method to generate optical property uncertainty estimates from measurement errors.
  • Applying a two-frequency LUT algorithm for practical uncertainty estimation.

Main Results:

  • A novel method for generating optical property uncertainty estimates from SFDI measurement errors was successfully developed.
  • The Cramér-Rao bound enabled efficient theoretical exploration of SFDI performance and spatial frequency optimization.
  • Practical uncertainty estimates for optical properties were demonstrated using phantoms and in vivo experiments with a two-frequency LUT algorithm.
  • Propagation of absorption coefficient uncertainties to chromophore concentrations was illustrated.

Conclusions:

  • The developed method provides essential uncertainty estimates for SFDI-derived optical properties, enhancing data reliability.
  • This approach allows for optimized SFDI experimental design and improved interpretation of results.
  • The ability to quantify uncertainties in chromophore concentrations has significant implications for biological and medical applications of SFDI.