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Conferences > MATH > 2019 > MW4D > MW4D.2

Modelling of Errors and Uncertainties in Photoacoustic Tomography using a Bayesian Framework

Tanja Tarvainen, Teemu Sahlström, Jenni Tick, and Aki Pulkkinen

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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.

© 2019 The Author(s)

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