Authors
Haoming Huo, Yirui Xu, Rui Yao, Matt Lowerison, Pengfei Song, Junjie Yao
Published in
Photoacoustics. Volume 51. Pages 100861. Epub Jul 25, 2026.
Abstract
Three-dimensional photoacoustic tomography (3D-PAT) enables noninvasive structural and functional imaging with optical absorption contrast and ultrasonic detection depth. However, its spatial resolution is limited by acoustic diffraction, and incomplete detection geometry can substantially degrade image fidelity and quantitative accuracy. Here, we present a ULM-guided model-based reconstruction framework, termed 3D-PAULMprior that incorporates sub-diffraction vascular priors from concurrent ultrasound localization microscopy (ULM) into 3D photoacoustic reconstruction. The method uses weighted regional Laplacian regularization to integrate high-resolution vascular information into the inverse problem, thereby enhancing vascular sharpness, suppressing limited-view artifacts, and improving blood oxygen saturation estimation. We validated 3D-PAULMprior using numerical simulations, tissue-mimicking phantoms, and in vivo mouse brain imaging. Compared with conventional reconstruction, 3D-PAULMprior reduced the system blurring, increased contrast-to-noise ratio, and enhanced structural similarity. In vivo, 3D-PAULMprior enhanced the delineation of the vascular structures that were poorly resolved in conventional reconstructions and produced more spatially confined sO₂ maps. These results establish 3D-PAULMprior as a robust multimodal reconstruction strategy for high-resolution structural and functional photoacoustic imaging.
PMID:
42564688
Bibliographic data and abstract were imported from PubMed on 07 Aug 2026.
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