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Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent

Research output: Contribution to journalArticle

Jens Buchmann, Bernhard Kaplan, Samuel Powell, Steffen Prohaska, Jan Laufer, Bernhard A. Kaplan

Original languageEnglish
Article number066001
Pages (from-to)1-13
Number of pages13
JournalJournal of Biomedical Optics
Issue number6
Accepted/In press24 Apr 2019
Published30 Jun 2019


King's Authors


Quantitative photoacoustic tomography aims to recover maps of the local concentrations of tissue chromophores from multispectral images. While model-based inversion schemes are promising approaches, major challenges to their practical implementation include the unknown fluence distribution and the scale of the inverse problem. We describe an inversion scheme based on a radiance Monte Carlo model and an adjoint-assisted gradient optimization that incorporates fluence-dependent step sizes and adaptive moment estimation. The inversion is shown to recover absolute chromophore concentrations, blood oxygen saturation, and the Grüneisen parameter from in silico three-dimensional phantom images for different radiance approximations. The scattering coefficient is assumed to be homogeneous and known a priori.

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