Photoacoustic Tomography With Spatially Varying Compressibility and Density

TL;DR

This paper explores advanced photoacoustic tomography techniques accounting for spatial variations in compressibility and density, analyzing three numerical methods for reconstructing absorption density from complete and partial data.

Contribution

It introduces and compares three numerical methods for reconstructing absorption density considering spatially varying acoustic parameters in photoacoustic tomography.

Findings

All three methods successfully reconstruct absorption density.

Partial data reconstruction shows robustness of the methods.

Spatial variations significantly affect reconstruction accuracy.

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.