Deep tissue imaging with acousto-optical tomography and spectral hole burning with slow light effect : A theoretical study
(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
- Gunther, Jacqueline ; Walther, Andreas LU ; Rippe, Lars LU ; Kröll, Stefan LU and Andersson-Engels, Stefan LU
- organization
- publishing date
- 2018-07-01
- 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
- 2024-09-17 20:41:32
@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 > 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}}, }