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Hyperspectral imaging in the spatial frequency domain with a supercontinuum source

Authors :
Patrick A. Stockton
Randy A. Bartels
Rolf B. Saager
Anthony J. Durkin
Mohammad Torabzadeh
Bruce J. Tromberg
Gordon T. Kennedy
Source :
Journal of biomedical optics, vol 24, iss 7, Journal of Biomedical Optics
Publication Year :
2019
Publisher :
Linköpings universitet, Avdelningen för medicinsk teknik, 2019.

Abstract

We introduce a method for quantitative hyperspectral optical imaging in the spatial frequency domain (hs-SFDI) to image tissue absorption (μa) and reduced scattering (μs') parameters over a broad spectral range. The hs-SFDI utilizes principles of spatial scanning of the spectrally dispersed output of a supercontinuum laser that is sinusoidally projected onto the tissue using a digital micromirror device. A scientific complementary metal-oxide-semiconductor camera is used for capturing images that are demodulated and analyzed using SFDI computational models. The hs-SFDI performance is validated using tissue-simulating phantoms over a range of μa and μs' values. Quantitative hs-SFDI images are obtained from an ex-vivo beef sample to spatially resolve concentrations of oxy-, deoxy-, and met-hemoglobin, as well as water and fat fractions. Our results demonstrate that the hs-SFDI can quantitatively image tissue optical properties with 1000 spectral bins in the 580- to 950-nm range over a wide, scalable field of view. With an average accuracy of 6.7% and 12.3% in μa and μs', respectively, compared to conventional methods, hs-SFDI offers a promising approach for quantitative hyperspectral tissue optical imaging. Funding agencies: National Institute of Health (NIH) NIBIB Biomedical Technology Research Center LAMMP [P41EB015890]; NIH [R21EB020953]; Military Medical Photonics Program: AFOSR [FA9550-17-1-0193]; Arnold and Mabel Beckman Foundation

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of biomedical optics, vol 24, iss 7, Journal of Biomedical Optics
Accession number :
edsair.doi.dedup.....95f720a8e2855364e935224902706c9b