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Main Title: Three-dimensional quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent
Author(s): Buchmann, Jens
Kaplan, Bernhard A.
Powell, Samuel
Prohaska, Steffen
Laufer, Jan
Type: Article
Abstract: 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.
Subject(s): quantitative photoacoustic imaging
blood oxygen saturation
inverse problem
model based inversion
Monte Carlo
spectral unmixing
Issue Date: 6-Jun-2019
Date Available: 4-Mar-2021
Is Part Of: 10.14279/depositonce-10528
Language Code: en
DDC Class: 530 Physik
Journal Title: Journal of Biomedical Optics
Publisher: SPIE
Volume: 24
Issue: 6
Article Number: 066001
Publisher DOI: 10.1117/1.JBO.24.6.066001
EISSN: 1560-2281
ISSN: 1083-3668
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Optik und Atomare Physik
Appears in Collections:Technische Universität Berlin » Publications

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