eprintid: 10184792
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/18/47/92
datestamp: 2024-01-05 12:15:43
lastmod: 2024-01-05 12:15:43
status_changed: 2024-01-05 12:15:43
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Tarvainen, Tanja
creators_name: Cox, Ben
title: Quantitative photoacoustic tomography: modeling and inverse problems
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
divisions: F42
keywords: inverse problems, photoacoustic imaging, quantitative imaging, radiative transfer, tomography, Algorithms, Tomography, X-Ray Computed, Image Processing, Computer-Assisted, Models, Theoretical, Mathematics
note: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License.
Distribution or reproduction of this work in whole or in part requires full attribution of the original
publication, including its DOI. [DOI: 10.1117/1.JBO.29.S1.S11509]
abstract: SIGNIFICANCE: Quantitative photoacoustic tomography (QPAT) exploits the photoacoustic effect with the aim of estimating images of clinically relevant quantities related to the tissue's optical absorption. The technique has two aspects: an acoustic part, where the initial acoustic pressure distribution is estimated from measured photoacoustic time-series, and an optical part, where the distributions of the optical parameters are estimated from the initial pressure. AIM: Our study is focused on the optical part. In particular, computational modeling of light propagation (forward problem) and numerical solution methodologies of the image reconstruction (inverse problem) are discussed. APPROACH: The commonly used mathematical models of how light and sound propagate in biological tissue are reviewed. A short overview of how the acoustic inverse problem is usually treated is given. The optical inverse problem and methods for its solution are reviewed. In addition, some limitations of real-life measurements and their effect on the inverse problems are discussed. RESULTS: An overview of QPAT with a focus on the optical part was given. Computational modeling and inverse problems of QPAT were addressed, and some key challenges were discussed. Furthermore, the developments for tackling these problems were reviewed. Although modeling of light transport is well-understood and there is a well-developed framework of inverse mathematics for approaching the inverse problem of QPAT, there are still challenges in taking these methodologies to practice. CONCLUSIONS: Modeling and inverse problems of QPAT together were discussed. The scope was limited to the optical part, and the acoustic aspects were discussed only to the extent that they relate to the optical aspect.
date: 2024-01
date_type: published
publisher: SPIE-Intl Soc Optical Eng
official_url: http://dx.doi.org/10.1117/1.jbo.29.s1.s11509
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2136005
doi: 10.1117/1.JBO.29.S1.S11509
medium: Print-Electronic
pii: 230281SSVR
lyricists_name: Cox, Benjamin
lyricists_name: Tarvainen, Tanja
lyricists_id: BTCOX21
lyricists_id: TMTAR26
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Journal of Biomedical Optics
volume: 29
number: Suppl 1
article_number: S11509
event_location: United States
issn: 1083-3668
citation:        Tarvainen, Tanja;    Cox, Ben;      (2024)    Quantitative photoacoustic tomography: modeling and inverse problems.                   Journal of Biomedical Optics , 29  (Suppl 1)    , Article S11509.  10.1117/1.JBO.29.S1.S11509 <https://doi.org/10.1117/1.JBO.29.S1.S11509>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10184792/1/S11509_1.pdf