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Deep Tissue Characterization by Ultrasound Optical Tomography Hybrid Monte Carlo Model

Šušnjar, Stefan LU orcid ; Kinos, Adam LU ; Bakic, Predrag LU ; Zackrisson, Sophia LU ; Swartling, Johannes LU ; Kröll, Stefan LU and Reistad, Nina LU orcid (2025)
Abstract
We propose analytical expressions for ultrasound optical tomography and verify them in Monte Carlo simulations. The proposed hybrid analytical-statistical Monte Carlo model enables quantitative reconstruction of up to 5-centimetre deep tissue absorption inhomogeneities.
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Absorption coefficient, Inverse design, Light propagation, Optical properties, Scattering media, Tissue characterization
host publication
European Conferences on Biomedical Optics 2025
publisher
Optica Publishing Group
DOI
10.1364/ECBO.2025.W4B.2
language
English
LU publication?
yes
id
9b9df543-bd15-4c5c-ac06-667fdbbe31b2
date added to LUP
2025-11-08 09:22:17
date last changed
2025-11-10 13:16:28
@inproceedings{9b9df543-bd15-4c5c-ac06-667fdbbe31b2,
  abstract     = {{We propose analytical expressions for ultrasound optical tomography and verify them in Monte Carlo simulations. The proposed hybrid analytical-statistical Monte Carlo model enables quantitative reconstruction of up to 5-centimetre deep tissue absorption inhomogeneities.}},
  author       = {{Šušnjar, Stefan and Kinos, Adam and Bakic, Predrag and Zackrisson, Sophia and Swartling, Johannes and Kröll, Stefan and Reistad, Nina}},
  booktitle    = {{European Conferences on Biomedical Optics 2025}},
  keywords     = {{Absorption coefficient; Inverse design; Light propagation; Optical properties; Scattering media; Tissue characterization}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{Optica Publishing Group}},
  title        = {{Deep Tissue Characterization by Ultrasound Optical Tomography Hybrid Monte Carlo Model}},
  url          = {{http://dx.doi.org/10.1364/ECBO.2025.W4B.2}},
  doi          = {{10.1364/ECBO.2025.W4B.2}},
  year         = {{2025}},
}