We study the effect of using weaker forms of data-fidelity terms in generalized Tikhonov regularization accounting for model uncertainties. We show that relaxed data-consistency conditions can be beneficial for integrating available prior knowledge.
KEYWORDS: Acquisition tracking and pointing, Sensors, Spatial resolution, Photoacoustic tomography, Signal detection, Point spread functions, Linear filtering, Data acquisition, Acoustics, Signal attenuation
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.
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