ArticlePhotoacoustics2024
Image restoration for ring-array photoacoustic tomography system based on blind spatially rotational deconvolution.
Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Blind single image restoration for ring-array photoacoustic tomography system via physics-aided unsupervised learning.Photoacoustics · 2026Article
- Residual-conditioned sparse transformer for photoacoustic image artifact reduction.Photoacoustics · 2025Article
- Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network.Photoacoustics · 2025Article
- Lightweight sparse optoacoustic image reconstruction via an attention-driven multi-scale wavelet network.Photoacoustics · 2025Article
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6 authors.
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Abstract
Ring-array photoacoustic tomography (PAT) system has been widely used in noninvasive biomedical imaging. However, the reconstructed image usually suffers from spatially rotational blur and streak artifacts due to the non-ideal imaging conditions. To improve the reconstructed image towards higher quality, we propose a concept of spatially rotational convolution to formulate the image blur process, then we build a regularized restoration problem model accordingly and design an alternating minimization algorithm which is called blind spatially rotational deconvolution to achieve the restored image. Besides, we also present an image preprocessing method based on the proposed algorithm to remove the streak artifacts. We take experiments on phantoms and in vivo biological tissues for evaluation, the results show that our approach can significantly enhance the resolution of the image obtained from ring-array PAT system and remove the streak artifacts effectively.
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