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Bayesian parameter estimation in spectral quantitative photoacoustic tomography

Pulkkinen, A; Cox, BT; Arridge, SR; Kaipio, JP; Tarvainen, T; (2016) Bayesian parameter estimation in spectral quantitative photoacoustic tomography. In: Oraevsky, AA and Wang, LV, (eds.) Photons Plus Ultrasound: Imaging and Sensing 2016. SPIE: San Francisco, CA, USA. Green open access

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Abstract

Photoacoustic tomography (PAT) is an imaging technique combining strong contrast of optical imaging to high spatial resolution of ultrasound imaging. These strengths are achieved via photoacoustic e↵ect, where a spatial absorption of light pulse is converted into a measurable propagating ultrasound wave. The method is seen as a potential tool for small animal imaging, pre-clinical investigations, study of blood vessels and vasculature, as well as for cancer imaging. The goal in PAT is to form an image of the absorbed optical energy density field via acoustic inverse problem approaches from the measured ultrasound data. Quantitative PAT (QPAT) proceeds from these images and forms quantitative estimates of the optical properties of the target. This optical inverse problem of QPAT is illposed. To alleviate the issue, spectral QPAT (SQPAT) utilizes PAT data formed at multiple optical wavelengths simultaneously with optical parameter models of tissue to form quantitative estimates of the parameters of interest. In this work, the inverse problem of SQPAT is investigated. Light propagation is modelled using the di↵usion equation. Optical absorption is described with chromophore concentration weighted sum of known chromophore absorption spectra. Scattering is described by Mie scattering theory with an exponential power law. In the inverse problem, the spatially varying unknown parameters of interest are the chromophore concentrations, the Mie scattering parameters (power law factor and the exponent), and Gr¨uneisen parameter. The inverse problem is approached with a Bayesian method. It is numerically demonstrated, that estimation of all parameters of interest is possible with the approach.

Type: Proceedings paper
Title: Bayesian parameter estimation in spectral quantitative photoacoustic tomography
Event: SPIE BiOS
Location: San Francisco, CA
Dates: 14 February 2016 - 17 February 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2205009
Publisher version: https://doi.org/10.1117/12.2205009
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: multi-wavelength imaging, photoacoustics, inverse problems, image reconstruction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10113880
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