Photoacoustic fluctuation imaging: theory and application to blood flow imaging

TL;DR

This paper develops a theoretical framework for photoacoustic fluctuation imaging, validates it through simulations, and demonstrates its application in blood flow imaging both in phantoms and in vivo, enhancing image resolution and visibility.

Contribution

It introduces the first theoretical model for photoacoustic fluctuation imaging and demonstrates its practical application in blood vessel imaging.

Findings

Theoretical predictions match simulation results.

Visibility artefacts are absent in second-order fluctuation images.

Successful in vivo 3D vascular imaging in a chicken embryo.

Abstract

Photoacoustic fluctuation imaging, which exploits randomness in photoacoustic generation, provides enhanced images in terms of resolution and visibility, as compared to conventional photoacoustic images. While a few experimental demonstrations of photoacoustic fluctuation imaging have been reported, it has to date not been described theoretically. In the first part of this work, we propose a theory relevant to fluctuations induced either by random illumination patterns or by random distributions of absorbing particles. The theoretical predictions are validated by Monte Carlo finite-difference time-domain simulations of photoacoustic generation in random particle media. We provide a physical insight into why visibility artefacts are absent from second-order fluctuation images. In the second part, we demonstrate experimentally that harnessing randomness induced by the flow of red blood cells produce photoacoustic fluctuation images free of visibility artefacts. As a first proof of concept, we obtain two-dimensional images of blood vessel phantoms. Photoacoustic fluctuation imaging is finally applied in vivo to obtain 3D images of the vascularization in a chicken embryo.