Simulation study of compressed sensing photoacoustic tomography based on k-space pseudospectral method

Bo Li; Aojie Zhao; Jinhong Zhang; Qiming He; Jiahui Liu; Xianlin Song

doi:10.1117/12.2589660

12 April 2021 Simulation study of compressed sensing photoacoustic tomography based on k-space pseudospectral method

Bo Li, Aojie Zhao, Jinhong Zhang, Qiming He, Jiahui Liu, Xianlin Song

Proceedings Volume 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX; 117561H (2021) https://doi.org/10.1117/12.2589660
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

As a new non-destructive biomedical imaging modality, photoacoustic imaging not only has high contrast of optical imaging but also has high penetration depth of ultrasonic imaging. And it has developed rapidly in recent years and has been widely used in the fields of biomedical clinical diagnosis and volume imaging, attracted the eager attention of more and more researchers in the biomedical field. In biomedicine, image reconstruction needs to process the huge amount of information obtained. How to compress the data without distortion in this process has become an important research topic. In this paper, based on photoacoustic imaging technology and compression sensing reconstruction algorithm, a virtual simulation platform for compression sensing photoacoustic tomography is constructed by using k-wave simulation toolbox. Through this platform, a simulation model of photoacoustic propagation was established, we analyzed the photoacoustic signal generated by the simulation model. Finally, image reconstruction is completed by using compression sensing reconstruction algorithm. Then, in order to test the performance of the platform, we reconstructed part of the blood vessel network image based on the simulation platform. The results show that the virtual simulation platform successfully realizes the compressed sensing photoacoustic tomography with small amount of data but high reconstruction quality, which has practical significance and theoretical value for the research of the application of compress sensing in photoacoustic imaging.

Conference Presentation

Citation Download Citation

Bo Li, Aojie Zhao, Jinhong Zhang, Qiming He, Jiahui Liu, and Xianlin Song "Simulation study of compressed sensing photoacoustic tomography based on k-space pseudospectral method", Proc. SPIE 11756, Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, 117561H (12 April 2021); https://doi.org/10.1117/12.2589660

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