Simulation platform of compressed sensing photoacoustic tomography based on  k-wave

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

doi:10.1117/12.2582968

5 March 2021 Simulation platform of compressed sensing photoacoustic tomography based on k-wave

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

Proceedings Volume 11642, Photons Plus Ultrasound: Imaging and Sensing 2021; 116424A (2021) https://doi.org/10.1117/12.2582968
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

In recent years, photoacoustic imaging, an emerging nondestructive biomedical imaging technology, has shown great potential for early diagnosis of diseases with its advantages of highly sensitive optical contrast and high resolution. It is a hard project to collect a large number of pathological medical images by using photoacoustic imaging. How to compress large amounts of data, rapid transmission and storage of important value information has become an urgent problem to be solved. In this paper, build a virtual simulation platform for compressed sensing photoacoustic tomography by combining compressed sensing reconstruction algorithms with photoacoustic imaging based on the k-wave simulation toolbox. On the one hand, compressed sensing can reduce sample rates, accelerated the speed of imaging. On the other hand, it can modify the demands for hardware devices and facilitate to transmit and store of data. The k-wave simulation toolbox is used to build simulation models for simulating the propagation of photoacoustic fields, recording of photoacoustic signals, and image reconstruction. We validated the performance of the simulation platform by imaging the vascular network. The results show that the virtual simulation platform compressed sensing photoacoustic tomography can achieve high-quality photoacoustic imaging with less data. The virtual platform can provide theoretical guidance for the application of compressed sensing in photoacoustic imaging.

Conference Presentation

Citation Download Citation

Aojie Zhao, Jiahui Liu, Jianshuang Wei, Qiming He, Bo Li, Jinhong Zhang, Lingfang Song, and Xianlin Song "Simulation platform of compressed sensing photoacoustic tomography based on k-wave", Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116424A (5 March 2021); https://doi.org/10.1117/12.2582968

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