Optoacoustic inversion via Volterra kernel reconstruction

TL;DR

This paper presents a novel numerical method for reconstructing initial stress profiles in optoacoustics by using Volterra kernel expansion and gauge procedures, improving signal inversion accuracy.

Contribution

It introduces a Fourier-series based kernel reconstruction approach for optoacoustic inversion, addressing paraxial approximation and diffraction effects.

Findings

Validated the inversion protocol with synthetic signals.

Demonstrated feasibility beyond paraxial approximation.

Provided a new computational framework for optoacoustic signal reconstruction.

Abstract

In this letter we address the numeric inversion of optoacoustic signals to initial stress profiles. Therefore we put under scrutiny the optoacoustic kernel reconstruction problem in the paraxial approximation of the underlying wave-equation. We apply a Fourier-series expansion of the optoacoustic Volterra kernel and obtain the respective expansion coefficients for a given "apparative" setup by performing a gauge procedure using synthetic input data. The resulting effective kernel is subsequently used to solve the optoacoustic source reconstruction problem for general signals. We verify the validity of the proposed inversion protocol for synthetic signals and explore the feasibility of our approach to also account for the diffraction transformation of signals beyond the paraxial approximation.