Computational wave-based photoacoustic imaging through an unknown thick aberrating layer

Yevgeny Slobodkin, Ori Katz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce a physics-based computational reconstruction framework for non-invasive photoacoustic tomography through a thick aberrating layer. Our wave-based approach leverages an analytic formulation of diffraction to beamform a photoacoustic image, when the aberrating layer profile is known. When the profile of the aberrating layer is unknown, the same analytical formulation serves as the basis for an automatic-differentiation regularized optimization algorithm that simultaneously reconstructs both the profile of the aberrating layer and the optically absorbing targets. Results from numerical studies and proof-of-concept experiments show promise for fast beamforming that takes into account diffraction effects occurring in the propagation through thick, highly-aberrating layers.

Original languageAmerican English
Article number100584
JournalPhotoacoustics
Volume36
DOIs
StatePublished - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

  • Aberration correction
  • Beamforming
  • Iterative optimization
  • Model-based reconstruction
  • Photoacoustic tomography

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