Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography

Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography

The development of accurate and efficient image reconstruction algorithms is a central aspect of quantitative photoacoustic tomography (QPAT). In this paper, we address this issues for multi-source QPAT using the radiative transfer equation (RTE) as accurate model for light transport. The tissue par...

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Bibliographic Details
Main Authors: Simon Rabanser, Lukas Neumann, Markus Haltmeier
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Entropy
Subjects:
photoacoustic tomography
image reconstruction
radiative transfer equation
multilinear inverse problem
limited view
stochastic gradient method
limited data
Dykstra algorithm
Online Access:http://www.mdpi.com/1099-4300/20/2/121

Internet

http://www.mdpi.com/1099-4300/20/2/121

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