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


ABSTRACT: Localized measurements of scattering in biological tissue provide sensitivity to microstructural morphology but have limited utility to wide-field applications, such as surgical guidance. This study introduces sub-diffusive spatial frequency domain imaging (sd-SFDI), which uses high spatial frequency illumination to achieve wide-field sampling of localized reflectances. Model-based inversion recovers macroscopic variations in the reduced scattering coefficient [Formula: see text] and the phase function backscatter parameter (?). Measurements in optical phantoms show quantitative imaging of user-tuned phase-function-based contrast with accurate decoupling of parameters that define both the density and the size-scale distribution of scatterers. Measurements of fresh ex vivo breast tissue samples revealed, for the first time, unique clustering of sub-diffusive scattering properties for different tissue types. The results support that sd-SFDI provides maps of microscopic structural biomarkers that cannot be obtained with diffuse wide-field imaging and characterizes spatial variations not resolved by point-based optical sampling.

SUBMITTER: McClatchy DM 

PROVIDER: S-EPMC4989924 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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

McClatchy David M DM   Rizzo Elizabeth J EJ   Wells Wendy A WA   Cheney Philip P PP   Hwang Jeeseong C JC   Paulsen Keith D KD   Pogue Brian W BW   Kanick Stephen C SC  

Optica 20160609 6


Localized measurements of scattering in biological tissue provide sensitivity to microstructural morphology but have limited utility to wide-field applications, such as surgical guidance. This study introduces sub-diffusive spatial frequency domain imaging (sd-SFDI), which uses high spatial frequency illumination to achieve wide-field sampling of localized reflectances. Model-based inversion recovers macroscopic variations in the reduced scattering coefficient [Formula: see text] and the phase f  ...[more]

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