Photoacoustic imaging technology is a three-dimensional imaging method based on the photoacoustic effect, which has the characteristics of high resolution, high contrast and high penetration depth. This technology provides a very important means to study the structure, metabolism, physiological and pathological characteristics of biological tissue, so photoacoustic imaging has a great application prospect in biomedicine. However, because of the high-resolution Nyquist sampling rate and large amount of data, it will cause great pressure on the storage equipment and make data transmission difficult. Generally, the problem of large amount of data is solved by compressed sensing. Compressed sensing theory can make the sampling speed determined by the internal structure and content of the signal, rather than by the bandwidth, thus reducing the amount of data. Build the virtual simulation platform of photoacoustic imaging based on k-wave, and use the BP reconstruction algorithm of compressed sensing to restore the original image. The results show that it can restore the original image with high quality while reducing the amount of data.
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