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In optoacoustic (photoacoustic) tomography, several parameters related totissue and detector features are needed for image formation, but they may notbe known a priori. An autofocus (AF) algorithm is generally used to estimatethese parameters. However, the algorithm works iteratively, therefore, it isimpractical for clinical imaging with systems featuring planar geometry due tolong reconstruction times.  We have developed a fast autofocus (FAF) algorithm for optoacoustic systemswith planar geometry that is much simpler computationally than the conventionalAF algorithm. We show that the FAF algorithm required about 5 sec. to provideaccurate estimates of the speed of sound in simulated data and experimentaldata obtained using an imaging system that is poised to enter the clinic. Theapplicability of FAF for estimating other image formation parameters isdiscussed.  We expect the FAF algorithm to contribute decisively to the clinical use ofoptoacoustic tomography systems with planar geometry.

Enabling the autofocus approach for parameter optimization in planar measurement geometry clinical optoacoustic imaging