A depth-dependent, transverse shift-invariant operator for fast iterative 3D photoacoustic tomography in planar geometry

Mar 30, 2026·
Ege Küçükkömürcü
Ege Küçükkömürcü
,
Simon Labouesse
,
Marc Allain
,
Thomas Chaigne
· 1 min read
Abstract
Iterative model-based image reconstruction in photoacoustic tomography enables principled incorporation of detector physics, object-related priors, and complex acquisition strategies. This work proposes a fast forward model for planar detection geometries that exploits transverse shift invariance.
Type
Publication
arXiv
Status
Open access
publications

This preprint is connected to the Compressed All-Optical Photoacoustic Imaging project.

PDF arXiv
Photoacoustics Computational Imaging Inverse Problems Forward Modelling
Ege Küçükkömürcü
Authors
Ege Küçükkömürcü
PhD Candidate in Computational Photoacoustic Imaging
I am a PhD candidate at Institut Fresnel in Marseille, working on compressed all-optical photoacoustic imaging for neuronal activity. My work combines optics, acoustics, computational imaging, and inverse problems to reconstruct biological activity deep inside tissue.