An iterative reconstruction method for photoacoustic tomography in heterogeneous media based on point source response

Heren Li; Wende Dong; Zilong Liu; Chenyang Chen; Yunhao Zhu; Chao Tian

doi:10.1117/12.2689058

27 November 2023 An iterative reconstruction method for photoacoustic tomography in heterogeneous media based on point source response

Heren Li, Wende Dong, Zilong Liu, Chenyang Chen, Yunhao Zhu, Chao Tian

Author Affiliations +

Proceedings Volume 12769, Optical Metrology and Inspection for Industrial Applications X; 127691J (2023) https://doi.org/10.1117/12.2689058
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

In photoacoustic tomography (PAT), image reconstruction refers to the formation process from photoacoustic signals to target images, which has an important influence on the image quality.At present, most reconstruction algorithms assume that the medium is homogeneous, which may cause distortion and artifacts in the reconstructed images. Therefore, considering the heterogeneity of the medium is important for accurate image reconstruction in PAT. The iterative reconstruction (IR) algorithm can incorporate the information of imaging system and media, and thus can provide high-quality image reconstruction. In this work, we investigate the IR algorithm in PAT with heterogeneous media based on point source response. We obtain the system matrix by calculating the photoacoustic signal of each point source in heterogeneous media based on the k-space pseudospectral method. The target image is reconstructed iteratively with the media information-coupled system matrix and the total variation (TV) regularization. We take a set of simulations to verify the effectiveness of the IR algorithm in heterogeneous media. The work provides a new method for accurate reconstruction of photoacoustic images.

Citation Download Citation

Heren Li, Wende Dong, Zilong Liu, Chenyang Chen, Yunhao Zhu, and Chao Tian "An iterative reconstruction method for photoacoustic tomography in heterogeneous media based on point source response", Proc. SPIE 12769, Optical Metrology and Inspection for Industrial Applications X, 127691J (27 November 2023); https://doi.org/10.1117/12.2689058

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