A practical guide for model-based reconstruction in optoacoustic imaging

Optoacoustic (OA, photoacoustic) imaging capitalizes on the low scattering of ultrasound within biological tissues to provide optical absorption-based contrast with high resolution at depths not reachable microscopy. For deep tissue applications, OA image formation commonly relies acoustic inversion time-resolved tomographic data. The excitation responses and subsequent propagation waves can be mathematically described as a forward model enabling reconstruction via algebraic inversion. These model-based methods have been shown outperform alternative approaches further render images from incomplete datasets, strongly distorted signals or other suboptimally recorded Herein, we general perspective methods, review recent progress, discuss performance different algorithms under practical scenarios.