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Time-efficient Thermoacoustic Imaging with High Resolution for A Large Sample: A Simulation Study

Thermoacoustic imaging (TAI) is a promising hybrid technique for many applications. Compressive sensing (CS) based TAI is able to greatly reduce the required number of measurements to obtain a good image. This work explores the ability of CS based TAI by investigating a large sample with complicated structure details. Simulation results show that only 30 measurements are sufficient to recover most of the fine details in the sample, which is a way better than a conventional imaging method. This work is meaningful for further application of the CS based TAI in more advanced scenarios.