A Novel Compressed Sensing Scheme for Photoacoustic Tomography

TL;DR

This paper introduces a new compressed sensing approach for photoacoustic tomography that accelerates data acquisition, reduces costs, and maintains image quality through theoretical guarantees and experimental validation.

Contribution

A novel compressed sensing scheme tailored for photoacoustic tomography that improves speed and cost-efficiency while ensuring reliable image reconstruction.

Findings

The scheme achieves accurate image recovery with fewer measurements.

Theoretical recovery guarantees are provided for the proposed method.

Experimental results validate the effectiveness of the approach.

Abstract

Speeding up the data acquisition is one of the central aims to advance tomographic imaging. On the one hand, this reduces motion artifacts due to undesired movements, and on the other hand this decreases the examination time for the patient. In this article, we propose a new scheme for speeding up the data collection process in photoacoustic tomography. Our proposal is based on compressed sensing and reduces acquisition time and system costs while maintaining image quality. As measurement data we use random combinations of pressure values that we use to recover a complete set of pressure data prior to the actual image reconstruction. We obtain theoretical recovery guarantees for our compressed sensing scheme and support the theory by reconstruction results on simulated data as well as on experimental data.