Sampling and resolution in sparse view photoacoustic tomography

2023/10/13 by Haltmeier, Markus, Obmann, Daniel, Felbermayer, Karoline +2
#FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Numerical Analysis (math.NA) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2310.09447

Abstract

We investigate resolution in photoacoustic tomography (PAT). Using Shannon theory, we investigate the theoretical resolution limit of sparse view PAT theoretically, and empirically demonstrate that all reconstruction methods used exceed this limit.

Related

• Super-resolution photoacoustic and ultrasound imaging with sparse arrays
• Efficient regularization with wavelet sparsity constraints in PAT
• Image reconstruction in quantitative photoacoustic tomography with the\n simplified P₂ approximation
• Model-based reconstructions for quantitative imaging in photoacoustic tomography
• Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain