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