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26 April 2018 Deep tissue imaging with acousto-optical tomography and spectral hole burning with slow light effect: a theoretical study
Jacqueline E. Gunther, Andreas Walther, Lars Rippe, Stefan Kröll, Stefan Andersson-Engels
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Journal of Biomedical Optics, Vol. 23, Issue 7, 071209 (April 2018). https://doi.org/10.1117/1.JBO.23.7.071209
Abstract
Biological tissue is a highly scattering medium that prevents deep imaging of light. For medical applications, optical imaging offers a molecular sensitivity that would be beneficial for diagnosing and monitoring of diseases. Acousto-optical tomography has the molecular sensitivity of optical imaging with the resolution of ultrasound and has the potential for deep tissue imaging. Here, we present a theoretical study of a system that combines acousto-optical tomography and slow light spectral filters created using spectral hole burning methods. Using Monte Carlo simulations, a model to obtain the contrast-to-noise ratio (CNR) deep in biological tissue was developed. The simulations show a CNR  >  1 for imaging depths of ∼5  cm in a reflection mode setup, as well as, imaging through ∼12 cm in transmission mode setups. These results are promising and form the basis for future experimental studies.
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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Jacqueline E. Gunther, Andreas Walther, Lars Rippe, Stefan Kröll, and Stefan Andersson-Engels "Deep tissue imaging with acousto-optical tomography and spectral hole burning with slow light effect: a theoretical study," Journal of Biomedical Optics 23(7), 071209 (26 April 2018). https://doi.org/10.1117/1.JBO.23.7.071209
Received: 8 November 2017; Accepted: 20 March 2018; Published: 26 April 2018
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Cited by 14 scholarly publications.
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KEYWORDS
Tissues
Sensors
Photons
Tissue optics
Absorption
Slow light
Monte Carlo methods
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