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Three dimensional photoacoustic tomography in Bayesian framework

Tick, J; Pulkkinen, A; Lucka, F; Ellwood, R; Cox, BT; Kaipio, JP; Arridge, SR; (2018) Three dimensional photoacoustic tomography in Bayesian framework. The Journal of the Acoustical Society of America , 144 (4) pp. 2061-2071. 10.1121/1.5057109. Green open access

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Abstract

The image reconstruction problem (or inverse problem) in photoacoustic tomography is to resolve the initial pressure distribution from detected ultrasound waves generated within an object due to an illumination by a short light pulse. Recently, a Bayesian approach to photoacoustic image reconstruction with uncertainty quantification was proposed and studied with two dimensional numerical simulations. In this paper, the approach is extended to three spatial dimensions and, in addition to numerical simulations, experimental data are considered. The solution of the inverse problem is obtained by computing point estimates, i.e., maximum a posteriori estimate and posterior covariance. These are computed iteratively in a matrix-free form using a biconjugate gradient stabilized method utilizing the adjoint of the acoustic forward operator. The results show that the Bayesian approach can produce accurate estimates of the initial pressure distribution in realistic measurement geometries and that the reliability of these estimates can be assessed.

Type: Article
Title: Three dimensional photoacoustic tomography in Bayesian framework
Open access status: An open access version is available from UCL Discovery
DOI: 10.1121/1.5057109
Publisher version: https://doi.org/10.1121/1.5057109
Language: English
Additional information: © 2018 The Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/10059754
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