Model-based reconstructions for quantitative imaging in photoacoustic tomography
Not on the map. Why?
Abstract (arXiv)
The reconstruction task in photoacoustic tomography can vary a lot depending on measured targets, geometry, and especially the quantity we want to recover. Specifically, as the signal is generated due to the coupling of light and sound by the photoacoustic effect, we have the possibility to recover acoustic as well as optical tissue parameters. This is referred to as quantitative imaging, i.e, correct recovery of physical parameters and not just a qualitative image. In this chapter, we aim to give an overview on established reconstruction techniques in photoacoustic tomography. We start with modelling of the optical and acoustic phenomena, necessary for a reliable recovery of quantitative values. Furthermore, we give an overview of approaches for the tomographic reconstruction problem with an emphasis on the recovery of quantitative values, from direct and fast analytic approaches to computationally involved optimisation based techniques and recent data-driven approaches.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Nov 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.