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3D quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent

  • 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. This paper describes 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 3D phantom images for different radiance approximations. The scattering coefficient was assumed to be homogeneous and known a priori.
Author:Jens Buchmann, Bernhard Kaplan, Samuel Powell, Steffen Prohaska, Jan Laufer
Document Type:Article
Parent Title (English):Journal of Biomedical Optics
First Page:066001
Year of first publication:2019
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