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Characterization and modeling of acousto-optic signal strengths in highly scattering media

Bengtsson, Alexander LU ; Hill, David LU ; Li, Meng LU orcid ; Di, Mengqiao ; Cinthio, Magnus LU ; Erlöv, Tobias LU ; Andersson-Engels, Stefan LU ; Reistad, Nina LU orcid ; Walther, Andreas LU and Rippe, Lars LU , et al. (2019) In Biomedical Optics Express 10(11). p.5565-5584
Abstract

Ultrasound optical tomography (UOT) is an imaging technique based on the acousto-optic effect that can perform optical imaging with ultrasound resolution inside turbid media, and is thus interesting for biomedical applications, e.g. for assessing tissue blood oxygenation. In this paper, we present near background free measurements of UOT signal strengths using slow light filter signal detection. We carefully analyze each part of our experimental setup and match measured signal strengths with calculations based on diffusion theory. This agreement between experiment and theory allows us to assert the deep tissue imaging potential of ∼ 5 cm for UOT of real human tissues predicted by previous theoretical studies [Biomed. Opt. Express 8,... (More)

Ultrasound optical tomography (UOT) is an imaging technique based on the acousto-optic effect that can perform optical imaging with ultrasound resolution inside turbid media, and is thus interesting for biomedical applications, e.g. for assessing tissue blood oxygenation. In this paper, we present near background free measurements of UOT signal strengths using slow light filter signal detection. We carefully analyze each part of our experimental setup and match measured signal strengths with calculations based on diffusion theory. This agreement between experiment and theory allows us to assert the deep tissue imaging potential of ∼ 5 cm for UOT of real human tissues predicted by previous theoretical studies [Biomed. Opt. Express 8, 4523 (2017)] with greater confidence, and indicate that future theoretical analysis of optimized UOT systems can be expected to be reliable.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Biomedical Optics Express
volume
10
issue
11
pages
20 pages
publisher
Optical Society of America
external identifiers
  • scopus:85078119267
  • pmid:31799031
ISSN
2156-7085
DOI
10.1364/BOE.10.005565
language
English
LU publication?
yes
id
03ac2818-6c36-4a80-beea-c32f30b2eb35
date added to LUP
2020-02-03 15:13:28
date last changed
2024-06-13 11:40:27
@article{03ac2818-6c36-4a80-beea-c32f30b2eb35,
  abstract     = {{<p>Ultrasound optical tomography (UOT) is an imaging technique based on the acousto-optic effect that can perform optical imaging with ultrasound resolution inside turbid media, and is thus interesting for biomedical applications, e.g. for assessing tissue blood oxygenation. In this paper, we present near background free measurements of UOT signal strengths using slow light filter signal detection. We carefully analyze each part of our experimental setup and match measured signal strengths with calculations based on diffusion theory. This agreement between experiment and theory allows us to assert the deep tissue imaging potential of ∼ 5 cm for UOT of real human tissues predicted by previous theoretical studies [Biomed. Opt. Express 8, 4523 (2017)] with greater confidence, and indicate that future theoretical analysis of optimized UOT systems can be expected to be reliable.</p>}},
  author       = {{Bengtsson, Alexander and Hill, David and Li, Meng and Di, Mengqiao and Cinthio, Magnus and Erlöv, Tobias and Andersson-Engels, Stefan and Reistad, Nina and Walther, Andreas and Rippe, Lars and Kröll, Stefan}},
  issn         = {{2156-7085}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{5565--5584}},
  publisher    = {{Optical Society of America}},
  series       = {{Biomedical Optics Express}},
  title        = {{Characterization and modeling of acousto-optic signal strengths in highly scattering media}},
  url          = {{http://dx.doi.org/10.1364/BOE.10.005565}},
  doi          = {{10.1364/BOE.10.005565}},
  volume       = {{10}},
  year         = {{2019}},
}