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

Please always quote using this URN: urn:nbn:de:0297-zib-72995
  • 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.

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Author:Jens Buchmann, Bernhard A. Kaplan, Samuel Powell, Steffen Prohaska, Jan Laufer
Document Type:ZIB-Report
Tag:Monte Carlo; blood oxygen saturation; inverse problem; model-based inversion; quantitative photoacoustic imaging; spectral unmixing
MSC-Classification:65-XX NUMERICAL ANALYSIS
CCS-Classification:J. Computer Applications
PACS-Classification:80.00.00 INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY
Date of first Publication:2019/04/25
Series (Serial Number):ZIB-Report (19-16)
ISSN:1438-0064
Published in:Appeared in: Journal of Biomedical Optics, 24, p. 066001, 2019
DOI:https://doi.org/10.1117/1.JBO.24.6.066001