Evaluation of image reconstruction algorithms for quantitative photoacoustic tomography based on limited view data

Guo Tang; Jiaqi Zhu; Felix Lucka; Teemu Sahlström; Ben Cox; Jan Laufer

doi:10.1117/12.3017115

20 June 2024 Evaluation of image reconstruction algorithms for quantitative photoacoustic tomography based on limited view data

Guo Tang, Jiaqi Zhu, Felix Lucka, Teemu Sahlström, Ben Cox, Jan Laufer

Author Affiliations +

Proceedings Volume PC13006, Biomedical Spectroscopy, Microscopy, and Imaging III; PC130060I (2024) https://doi.org/10.1117/12.3017115
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Three-dimensional quantitative photoacoustic tomography (3D-QPAT) aims to recover tissue chromophore concentrations from multispectral images but is often hampered by the unknown light fluence and the transfer function of the scanner. Inversion schemes that use hybrid light transport and acoustic propagation models may be used to address this challenge. While model-based inversions have shown promising results in in silico and tissue phantom studies, limitations in accuracy arose from limited view artefacts. This study evaluated reconstruction methods such as time-reversal, maximum a posteriori, iterative least square and total variation to improve the accuracy of 3D-QPAT inversion techniques.

Conference Presentation

Citation Download Citation

Guo Tang, Jiaqi Zhu, Felix Lucka, Teemu Sahlström, Ben Cox, and Jan Laufer "Evaluation of image reconstruction algorithms for quantitative photoacoustic tomography based on limited view data", Proc. SPIE PC13006, Biomedical Spectroscopy, Microscopy, and Imaging III, PC130060I (20 June 2024); https://doi.org/10.1117/12.3017115

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