We present a modular framework for photoacoustic tomography enabling easy switching between regularisers for an iterative reconstruction algorithm. In the case of non-homogeneous optical density (fluence rate), reconstruction employing total generalised variation gives higher quality results than first-order total variation or direct reconstruction methods. When imaging vascular structures, using directional wavelets in the regularisation helps to recover the expected anisotropic structures. Methods are tested on 2D synthetic and experimental data.

This presentation is part of Minisymposium “MS61 - Imaging with Light and Sound (3 parts)”
organized by: Felix Lucka (CWI & UCL) , Tanja Tarvainen (University of Eastern Finland) .

Authors:

Yoeri Boink (University of Twente)

Keywords:

anisotropy, compressive sampling, higher-order total variation, image reconstruction, inverse problems, photoacoustic tomography