Bayesian reconstruction of quantitative photoacoustic tomography considering modeling error of the optical diffusion equation

Hui Zhang; Si Chen; Wei Zou; Danfeng Hu; Xin Gao; Jiajun Wang

doi:10.1117/1.OE.55.9.093101

6 September 2016 Bayesian reconstruction of quantitative photoacoustic tomography considering modeling error of the optical diffusion equation

Hui Zhang, Si Chen, Wei Zou, Danfeng Hu, Xin Gao, Jiajun Wang

Author Affiliations +

Optical Engineering, Vol. 55, Issue 9, 093101 (September 2016). https://doi.org/10.1117/1.OE.55.9.093101

Abstract

In the reconstruction of the quantitative photoacoustic tomography (QPAT), forward models for both the optical and acoustic problems are usually needed to predict the measurement data from a guess of the distribution of the optical parameters. The diffusion approximation (DA) is the one most often employed as the optical forward model in the QPAT. However, this model usually results in predicted data deviating far from the actual measurements especially in low scattering tissues. To tackle such a problem, we propose a reconstruction method where the modeling error of the DA is modeled and considered in the framework of Bayesian inference. Experimental results show that modeling of the approximation error and considering it in the reconstruction procedure can significantly improve the reconstructed results of the QPAT.

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Hui Zhang, Si Chen, Wei Zou, Danfeng Hu, Xin Gao, and Jiajun Wang "Bayesian reconstruction of quantitative photoacoustic tomography considering modeling error of the optical diffusion equation," Optical Engineering 55(9), 093101 (6 September 2016). https://doi.org/10.1117/1.OE.55.9.093101

Published: 6 September 2016

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KEYWORDS

Absorption

Monte Carlo methods

Reconstruction algorithms

Scattering

Scattering media

Photoacoustic tomography

Acoustics

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