Recent years have seen increasing interest in imaging with photons in the visible and near-infrared spectrum. The physiological nature of chromophores in tissue gives rise to a rich set of contrasts but at the cost of complex models of light propagation and usually poor resolution resulting from the strongly ill-posed and non-linear nature of the corresponding inverse problem. Combining optical and other modalities in "Coupled Physics Imaging" can overcome these limitations, e.g., light-plus-sound modalities such as photo-acoustics and ultrasound modulated optical tomography. In this minisymposium we bring together leading researchers in the fields of optical, acoustic and coupled imaging.

A stability analysis for photoacoustics in the presence of attenuation

Otmar Scherzer (Computational Science Center, University of Vienna)

Photoacoustic computed tomography in heterogeneous elastic media

Mark Anastasio (Washington University in St. Louis)

The Averaged Kaczmarz Iteration for Solving Inverse Problems

Housen Li (Georg-August-Universität Göttingen)

Bayesian approach to photoacoustic image reconstruction

Jenni Tick (University of Eastern Finland)

Image reconstruction in hybrid optical imaging modalities using Monte-Carlo solutions to the transport equation

Samuel Powell (University College London)

Efficient inclusion of edge-promoting priors in quantitative photoacoustic tomography

Nuutti Hyvönen (Aalto University)

Time-resolved optical tomography of biological tissue by means of structured illumination and single pixel camera detection

Cosimo D'Andrea (Politecnico di Milano)

Location of sensors in thermo-acoustic tomography

Maïtine Bergounioux (CNRS - Université d'Orléans UMR 7013)

Anisotropic and higher-order regularisation for photoacoustic tomography reconstruction

Yoeri Boink (University of Twente)

Improving photoacoustic mammography by using intrinsic a priori information

Anabela Da Silva (Aix-Marseille Université, CNRS, Centrale Marseille, Institut Fresnel UMR 7249)

3D Quantitative photoacoustic tomography (qPAT) using an adjoint Monte Carlo inversion scheme: application to recovering blood oxygenation

Bernhard Kaplan (Zuse Institute Berlin)

Organizers:

Felix Lucka (CWI & UCL)

Tanja Tarvainen (University of Eastern Finland)

Keywords:

bayesian methods, image deblurring, image reconstruction, inverse problems, nonlinear optimization, partial differential equation models, statistical inverse estimation methods