Tick, J;
Pulkkinen, A;
Tarvainen, T;
(2016)
Image reconstruction with uncertainty quantification in photoacoustic tomography.
Journal of the Acoustical Society of America
, 139
(4)
pp. 1951-1961.
10.1121/1.4945990.
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Abstract
Photoacoustic tomography is a hybrid imaging method that combines optical contrast and ultrasound resolution. The goal of photoacoustic tomography is to resolve an initial pressure distribution from detected ultrasound waves generated within an object due to an illumination of a short light pulse. In this work, a Bayesian approach to photoacoustic tomography is described. The solution of the inverse problem is derived and computation of the point estimates for image reconstruction and uncertainty quantification is described. The approach is investigated with simulations in different detector geometries, including limited view setup, and with different detector properties such as ideal point-like detectors, finite size detectors, and detectors with a finite bandwidth. The results show that the Bayesian approach can be used to provide accurate estimates of the initial pressure distribution, as well as information about the uncertainty of the estimates.
Type: | Article |
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Title: | Image reconstruction with uncertainty quantification in photoacoustic tomography |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1121/1.4945990 |
Publisher version: | http://dx.doi.org/10.1121/1.4945990 |
Language: | English |
Additional information: | Copyright © 2016 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article (Tick, J; Pulkkinen, A; Tarvainen, T; (2016) Image reconstruction with uncertainty quantification in photoacoustic tomography. Journal of the Acoustical Society of America , 139 (4) pp. 1951-1961. 10.1121/1.4945990) appeared in the Journal of the Acoustical Society of America and may be found at http://dx.doi.org/10.1121/1.4945990 |
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 |
URI: | https://discovery.ucl.ac.uk/id/eprint/1497338 |
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