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Deep tissue imaging with acousto-optical tomography and spectral hole burning with slow light effect : A theoretical study

Gunther, Jacqueline ; Walther, Andreas LU ; Rippe, Lars LU ; Kröll, Stefan LU and Andersson-Engels, Stefan LU (2018) In Journal of Biomedical Optics 23(7).
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... (More)

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.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
acousto-optical tomography, Monte Carlo, spectral hole burning, ultrasound modulation
in
Journal of Biomedical Optics
volume
23
issue
7
article number
071209
publisher
SPIE
external identifiers
  • scopus:85046079996
  • pmid:29701019
ISSN
1083-3668
DOI
10.1117/1.JBO.23.7.071209
language
English
LU publication?
yes
id
83a4d246-da44-4f78-9128-df989f55a136
date added to LUP
2018-05-07 13:43:32
date last changed
2024-06-25 16:48:10
@article{83a4d246-da44-4f78-9128-df989f55a136,
  abstract     = {{<p>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 &gt; 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.</p>}},
  author       = {{Gunther, Jacqueline and Walther, Andreas and Rippe, Lars and Kröll, Stefan and Andersson-Engels, Stefan}},
  issn         = {{1083-3668}},
  keywords     = {{acousto-optical tomography; Monte Carlo; spectral hole burning; ultrasound modulation}},
  language     = {{eng}},
  month        = {{07}},
  number       = {{7}},
  publisher    = {{SPIE}},
  series       = {{Journal of Biomedical Optics}},
  title        = {{Deep tissue imaging with acousto-optical tomography and spectral hole burning with slow light effect : A theoretical study}},
  url          = {{http://dx.doi.org/10.1117/1.JBO.23.7.071209}},
  doi          = {{10.1117/1.JBO.23.7.071209}},
  volume       = {{23}},
  year         = {{2018}},
}