ArticleBiomedical optics express2026
FBS-DiffNet: a deep unfolding network with diffusion prior for joint reconstruction of optical absorption and sound speed in photoacoustic tomography.
Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Quantitative photoacoustic tomography faces challenges arising from ill-posedness caused by acoustic heterogeneity and multi-parameter coupling. We propose the forward-backward splitting diffusion network (FBS-DiffNet), to simultaneously reconstruct optical absorption coefficient and sound speed distributions. This framework unfolds the classical forward-backward splitting algorithm into a cascaded architecture. Each level integrates a data consistency module driven by a residual gradient step network and a generative joint diffusion module. This configuration ensures physical fidelity to measured signals while exploiting spatial correlations between parameters at anatomical boundaries to provide synergistic regularization. Experimental results on simulation, phantom, and
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