README.md

December 2, 2024 ยท View on GitHub

Ultra-sparse reconstruction for photoacoustic tomography: sinogram domain prior-guided method exploiting enhanced score-based diffusion model
Zilong Li, Jiabin Lin, Yiguang Wang, Jiahong Li, Yubin Cao, Xuan Liu, Wenbo Wan, Qiegen Liu and Xianlin Song, Photoacoustics, (2024)

doi:https://doi.org/10.1016/j.pacs.2024.100670

The forward diffusion and reverse diffusion processes

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The pipeline for the trainning and iterative reconstruction processes

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Reconstruction of simulated blood vessels in the sparse data of 32,64,128 detectors

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  • Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration
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  • Score-based generative model-assisted information compensation for high-quality limited-view reconstruction in photoacoustic tomography
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  • Ultra-sparse reconstruction for photoacoustic tomography: sinogram domain prior-guided method exploiting enhanced score-based diffusion model
    [Paper] [Code]

  • Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors
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  • Mean-reverting diffusion model-enhanced acoustic-resolution photoacoustic microscopy for resolution enhancement: Toward optical resolution
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  • Unsupervised disentanglement strategy for mitigating artifact in photoacoustic tomography under extremely sparse view
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  • Generative model for sparse photoacoustic tomography artifact removal
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  • PAT-public-data from NCU [Code]