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Proceedings Paper

Monte-Carlo-based inversion scheme for 3D quantitative photoacoustic tomography
Author(s): Bernhard A. Kaplan; Jens Buchmann; Steffen Prohaska; Jan Laufer
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Paper Abstract

The goal of quantitative photoacoustic tomography (qPAT) is to recover maps of the chromophore distributions from multiwavelength images of the initial pressure. Model-based inversions that incorporate the physical processes underlying the photoacoustic (PA) signal generation represent a promising approach. Monte-Carlo models of the light transport are computationally expensive, but provide accurate fluence distributions predictions, especially in the ballistic and quasi-ballistic regimes. Here, we focus on the inverse problem of 3D qPAT of blood oxygenation and investigate the application of the Monte-Carlo method in a model-based inversion scheme. A forward model of the light transport based on the MCX simulator and acoustic propagation modeled by the k-Wave toolbox was used to generate a PA image data set acquired in a tissue phantom over a planar detection geometry. The combination of the optical and acoustic models is shown to account for limited-view artifacts. In addition, the errors in the fluence due to, for example, partial volume artifacts and absorbers immediately adjacent to the region of interest are investigated. To accomplish large-scale inversions in 3D, the number of degrees of freedom is reduced by applying image segmentation to the initial pressure distribution to extract a limited number of regions with homogeneous optical parameters. The absorber concentration in the tissue phantom was estimated using a coordinate descent parameter search based on the comparison between measured and modeled PA spectra. The estimated relative concentrations using this approach lie within 5 % compared to the known concentrations. Finally, we discuss the feasibility of this approach to recover the blood oxygenation from experimental data.

Paper Details

Date Published: 23 March 2017
PDF: 13 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100645J (23 March 2017); doi: 10.1117/12.2251945
Show Author Affiliations
Bernhard A. Kaplan, Zuse Institute Berlin (Germany)
Jens Buchmann, Technische Univ. Berlin (Germany)
Steffen Prohaska, Zuse Institute Berlin (Germany)
Jan Laufer, Martin-Luther-Univ. Halle-Wittenberg (Germany)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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