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Modelling of errors and uncertainties in photoacoustic tomography using a Bayesian framework

Tarvainen, T; Sahlstrom, T; Tick, J; Pulkkinen, A; (2019) Modelling of errors and uncertainties in photoacoustic tomography using a Bayesian framework. In: Optics InfoBase Conference Papers. OSA: Munich, Germany. Green open access

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Abstract

Photoacoustic tomography is studied in the framework of Bayesian inverse problems. Modelling of errors and uncertainties using Bayesian approximation error modelling is investigated. The approach is tested with simulations

Type: Proceedings paper
Title: Modelling of errors and uncertainties in photoacoustic tomography using a Bayesian framework
Event: Mathematics in Imaging 2019
ISBN-13: 9781943580637
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/MATH.2019.MW4D.2
Publisher version: https://doi.org/10.1364/MATH.2019.MW4D.2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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
URI: https://discovery.ucl.ac.uk/id/eprint/10101706
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