Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Image Reconstruction and Uncertainty Quantification in Photoacoustic Tomography

Not Accessible

Your library or personal account may give you access

Abstract

Photoacoustic tomography is approached in the framework of Bayesian inverse problems. Computation of point estimates of the posterior distribution for image reconstruction and uncertainty quantification are considered. The approach is tested with simulations.

© 2017 Optical Society of America

PDF Article
More Like This
Deep learning in photoacoustic tomography utilizing variational autoencoders

Teemu Sahlström and Tanja Tarvainen
1263108 European Conference on Biomedical Optics (ECBO) 2023

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

Tanja Tarvainen, Teemu Sahlström, Jenni Tick, and Aki Pulkkinen
MW4D.2 Mathematics in Imaging (MATH) 2019

Image reconstruction in quantitative photoacoustic tomography using the radiative transfer equation and the diffusion approximation

Tanja Tarvainen, Aki Pulkkinen, Ben T. Cox, Jari P. Kaipio, and Simon R. Arridge
880006 European Conference on Biomedical Optics (ECBO) 2013

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.