Optimization of the regularization parameters for photoacoustic imaging based on augmented Lagrangian

Haoxiang Gao; Weixin Kang

doi:10.1117/12.2563941

21 August 2020 Optimization of the regularization parameters for photoacoustic imaging based on augmented Lagrangian

Haoxiang Gao, Weixin Kang

Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151028 (2020) https://doi.org/10.1117/12.2563941
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

In photoacoustic imaging, regularization is often used to improve the fidelity of reconstructed images. This method is based on augmented Lagrangian alternate TV method, which is a known compression sensing method. The results show that this method can quickly calculate the regularization parameters and efficiently reconstruct the initial sound pressure. In this paper, 2 - valued image and CT scan data are used to evaluate the algorithm

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Haoxiang Gao and Weixin Kang "Optimization of the regularization parameters for photoacoustic imaging based on augmented Lagrangian", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151028 (21 August 2020); https://doi.org/10.1117/12.2563941

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