Zhaoyong Liang
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View article: Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation
Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation Open
Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised ne…
View article: Image reconstruction of multispectral sparse sampling photoacoustic tomography based on deep algorithm unrolling
Image reconstruction of multispectral sparse sampling photoacoustic tomography based on deep algorithm unrolling Open
Photoacoustic tomography (PAT), as a novel medical imaging technology, provides structural, functional, and metabolism information of biological tissue in vivo. Sparse Sampling PAT, or SS-PAT, generates images with a smaller number of dete…
View article: Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography
Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography Open
Photoacoustic tomography (PAT) is a promising imaging technique that can visualize the distribution of chromophores within biological tissue. However, the accuracy of PAT imaging is compromised by light fluence (LF), which hinders the quan…
View article: Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography
Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography Open
Photoacoustic tomography (PAT) is a promising imaging technique that can visualize the distribution of chromophores within biological tissue. However, the accuracy of PAT imaging is compromised by light fluence (LF), which hinders the quan…