Compressed single pixel imaging in the spatial frequency domain

Mohammad Torabzadeh; Il-Yong Park; Randy A. Bartels; Anthony J. Durkin; Bruce J. Tromberg

doi:10.1117/1.JBO.22.3.030501

16 March 2017 Compressed single pixel imaging in the spatial frequency domain

Mohammad Torabzadeh, Il-Yong Park, Randy A. Bartels, Anthony J. Durkin, Bruce J. Tromberg

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Journal of Biomedical Optics, Vol. 22, Issue 3, 030501 (March 2017). https://doi.org/10.1117/1.JBO.22.3.030501

Abstract

We have developed compressed sensing single pixel spatial frequency domain imaging (cs-SFDI) to characterize tissue optical properties over a wide field of view (35 mm×35 mm) using multiple near-infrared (NIR) wavelengths simultaneously. Our approach takes advantage of the relatively sparse spatial content required for mapping tissue optical properties at length scales comparable to the transport scattering length in tissue (ltr∼1 mm) and the high bandwidth available for spectral encoding using a single-element detector. cs-SFDI recovered absorption (μa) and reduced scattering (μs′) coefficients of a tissue phantom at three NIR wavelengths (660, 850, and 940 nm) within 7.6% and 4.3% of absolute values determined using camera-based SFDI, respectively. These results suggest that cs-SFDI can be developed as a multi- and hyperspectral imaging modality for quantitative, dynamic imaging of tissue optical and physiological properties.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Mohammad Torabzadeh, Il-Yong Park, Randy A. Bartels, Anthony J. Durkin, and Bruce J. Tromberg "Compressed single pixel imaging in the spatial frequency domain," Journal of Biomedical Optics 22(3), 030501 (16 March 2017). https://doi.org/10.1117/1.JBO.22.3.030501

Received: 27 January 2017; Accepted: 27 February 2017; Published: 16 March 2017

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