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Wide-field quantitative imaging of tissue microstructure using sub-diffuse spatial frequency domain imaging.

David M McClatchy1, Elizabeth J Rizzo2, Wendy A Wells3

  • 1Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, New Hampshire 03755, USA.

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Summary
This summary is machine-generated.

Sub-diffusive spatial frequency domain imaging (sd-SFDI) offers wide-field mapping of biological tissue

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Tissue Optics

Background:

  • Localized scattering measurements in biological tissue offer microstructural insights but lack wide-field applicability for surgical guidance.
  • Existing diffuse wide-field imaging techniques have limitations in resolving microscopic structural details.
  • Point-based optical sampling methods cannot fully characterize spatial variations in tissue scattering properties.

Purpose of the Study:

  • To introduce and validate sub-diffusive spatial frequency domain imaging (sd-SFDI) for wide-field, quantitative imaging of tissue scattering.
  • To demonstrate the ability of sd-SFDI to decouple and recover macroscopic variations in scattering parameters.
  • To explore the potential of sd-SFDI in identifying unique scattering signatures in biological tissues.

Main Methods:

  • Development of sub-diffusive spatial frequency domain imaging (sd-SFDI) utilizing high spatial frequency illumination.
  • Application of model-based inversion to recover the reduced scattering coefficient and phase function backscatter parameter.
  • Validation using optical phantoms to assess quantitative imaging and parameter decoupling.
  • Ex vivo measurements on fresh breast tissue samples.

Main Results:

  • sd-SFDI achieved quantitative imaging of phase-function-based contrast in optical phantoms.
  • Accurate decoupling of scatterer density and size-scale distribution parameters was demonstrated.
  • First-time observation of unique clustering of sub-diffusive scattering properties in different ex vivo breast tissue types.
  • sd-SFDI successfully mapped microscopic structural biomarkers and resolved spatial variations beyond diffuse imaging capabilities.

Conclusions:

  • sd-SFDI enables wide-field, quantitative assessment of sub-diffusive scattering properties in biological tissues.
  • The technique provides novel insights into tissue microstructure by mapping localized scattering variations.
  • sd-SFDI holds promise for applications requiring detailed microscopic structural information, such as surgical guidance and disease diagnosis.