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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

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1569-3945
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Volume 25, Issue 1 (Feb 2017)

Issues

Photoacoustic tomography with spatially varying compressibility and density

Zakaria Belhachmi
  • Laboratoire de Mathématiques LMIA, Université de Haute Alsace, 4, rue des Frères Lumière, 68200 Mulhouse, France
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/ Thomas Glatz
  • Corresponding author
  • Computational Science Center, University of Vienna, Oskar-Morgenstern Platz 1, A-1090 Vienna, Austria
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/ Otmar Scherzer
  • Computational Science Center, University of Vienna, Oskar-Morgenstern Platz 1, A-1090 Vienna, Austria; and Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, Altenbergerstraße 69, A-4040 Linz, Austria
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Published Online: 2016-09-29 | DOI: https://doi.org/10.1515/jiip-2015-0113

Abstract

This paper investigates photoacoustic tomography with two spatially varying acoustic parameters, the compressibility and the density. We consider the reconstruction of the absorption density parameter (imaging parameter of Photoacoustics) with complete and partial measurement data. We investigate and analyze three different numerical methods for solving the imaging problem and compare the results.

Keywords: Photoacoustic imaging; spatially varying compressibility and density; variable sound speed; regularization; time reversal

MSC 2010: 65J22; 35R30

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About the article

Received: 2015-12-23

Revised: 2016-07-08

Accepted: 2016-09-08

Published Online: 2016-09-29

Published in Print: 2017-02-01


Funding Source: Austrian Science Fund

Award identifier / Grant number: P26687-N25

The work of Thomas Glatz and Otmar Scherzer is supported by the Austrian Science Fund (FWF), Project P26687-N25 Interdisciplinary Coupled Physics Imaging.


Citation Information: Journal of Inverse and Ill-posed Problems, ISSN (Online) 1569-3945, ISSN (Print) 0928-0219, DOI: https://doi.org/10.1515/jiip-2015-0113.

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