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Photoacoustic image reconstruction in Bayesian framework

Tick, J; Pulkkinen, A; Lucka, F; Ellwood, R; Cox, BT; Arridge, SR; Tarvainen, T; (2018) Photoacoustic image reconstruction in Bayesian framework. In: Oraevsky,, Alexander A. and Wang, Lihong V., (eds.) Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 1049450 (2018). SPIE: San Francisco, California, United States. Green open access

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Abstract

The photoacoustic image reconstruction problem (inverse problem) is to estimate an initial acoustic pressure distribution from measurements of ultrasound waves generated within an object due to optical excitation with a short light pulse. In this work, the recently suggested Bayesian approach to photoacoustic tomography is extended to three dimensions and an iterative matrix-free method for the solution of the problem is described. Image reconstruction is investigated with numerical simulations and experimental data. The use of different prior information and noise models in different sensor geometries, including a limited-view setup, is investigated. The results show that the Bayesian approach can produce accurate estimates of the initial pressure distribution even in a limited-view setup provided that prior information and the noise have been properly modelled.

Type: Proceedings paper
Title: Photoacoustic image reconstruction in Bayesian framework
Event: Photons Plus Ultrasound: Imaging and Sensing 2018
ISBN-13: 9781510614734
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2288163
Publisher version: https://www.spiedigitallibrary.org/conference-proc...
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: photoacoustic tomography, inverse problems, Bayesian methods
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/10050439
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