Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach

Niko Hanninen; Aki Pulkkinen; Aleksi Leino; Tanja Tarvainen

doi:10.1117/12.2615866

9 December 2021 Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach

Niko Hanninen, Aki Pulkkinen, Aleksi Leino, Tanja Tarvainen

Author Affiliations +

Proceedings Volume 11923, Opto-Acoustic Methods and Applications in Biophotonics V; 1192309 (2021) https://doi.org/10.1117/12.2615866
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

In this work, the inverse problem problem of quantitative photoacoustic tomography is approached in a Bayesian framework. Modeling errors caused by an approximative light transport model are compensated by utilizing Bayesian approximation error modeling.

Citation Download Citation

Niko Hanninen, Aki Pulkkinen, Aleksi Leino, and Tanja Tarvainen "Compensating modeling errors of diffusion approximation in quantitative photoacoustic tomography using a Bayesian approach", Proc. SPIE 11923, Opto-Acoustic Methods and Applications in Biophotonics V, 1192309 (9 December 2021); https://doi.org/10.1117/12.2615866

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