Eigenspace based adaptive beamforming for photoacoustic computed tomography

Jiake Li; Guohua Wen; Xiaodong Chen; Daoyin Yu; Lidai Wang

doi:10.1117/12.2285285

19 February 2018 Eigenspace based adaptive beamforming for photoacoustic computed tomography

Jiake Li, Guohua Wen, Xiaodong Chen, Daoyin Yu, Lidai Wang

Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 104944B (2018) https://doi.org/10.1117/12.2285285
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Traditional back-projection(BP) method suffers from low resolution and high peak sidelobe level (PSL). A new method named eigenspace based adaptive beamforming (EAB) is proposed for photoacoustic computed tomography (PACT). Adaptive beamforming (AB) suppresses the interference and noise signal to improve the lateral resolution, eigenspace can further restrain the off-axis signal to eliminate the artifacts. The simulated experiment shows that the lateral resolution after BP, AB and EAB are 0.99, 0.31, and 0.31mm, respectively. The actual point targets experimental results show that the new method improves the lateral resolution by 67.9% compared with BP, which is agreed with simulated results. New method also improves the PSL by 39.6dB and 42.6dB compared with BP and AB, eliminates the artifacts and improvs imaging quality of the PACT.

Citation Download Citation

Jiake Li, Guohua Wen, Xiaodong Chen, Daoyin Yu, and Lidai Wang "Eigenspace based adaptive beamforming for photoacoustic computed tomography", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104944B (19 February 2018); https://doi.org/10.1117/12.2285285

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