RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction.
To suppress the streak artifacts in images reconstructed from sparse-view projections in computed tomography (CT), a residual, attention-based, dense UNet (RAD-UNet) deep network is proposed to achieve accurate sparse reconstruction. The filtered back projection (FBP) algorithm is used to reconstruc...
| Published in: | Journal of Digital Imaging Vol. 35; no. 6; pp. 1748 - 1759 |
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| Main Authors: | , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2022
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| Online Access: | View this record in EBSCOhost |