ArticlePhotoacoustics2024
Score-based generative model-assisted information compensation for high-quality limited-view reconstruction in photoacoustic tomography.
Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A Model-Based Joint Feature Fusion framework for limited-view photoacoustic tomography reconstruction.Photoacoustics · 2026Article
- A comparative study of diffusion-based reconstruction frameworks for photoacoustic tomography.Scientific reports · 2026Article
- Progressive dual-branch adversarial diffusion for sparse-view photoacoustic tomography reconstruction.Photoacoustics · 2026Article
- Latent diffusion-based image reconstruction for near-infrared spectral tomography.Biomedical optics express · 2026Article
- Lightweight sparse optoacoustic image reconstruction via an attention-driven multi-scale wavelet network.Photoacoustics · 2025Article
- Limited-view photoacoustic imaging reconstruction via high-quality self-supervised neural representation.Photoacoustics · 2025Article
- Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors.Photoacoustics · 2024Article
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Authors and funding
11 authors.
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Abstract
Photoacoustic tomography (PAT) regularly operates in limited-view cases owing to data acquisition limitations. The results using traditional methods in limited-view PAT exhibit distortions and numerous artifacts. Here, a novel limited-view PAT reconstruction strategy that combines model-based iteration with score-based generative model was proposed. By incrementally adding noise to the training samples, prior knowledge can be learned from the complex probability distribution. The acquired prior is then utilized as constraint in model-based iteration. The information of missing views can be gradually compensated by cyclic iteration to achieve high-quality reconstruction. The performance of the proposed method was evaluated with the circular phantom and
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