DECT-DRNet combines an FBP-based learnable Jacobian approximation with dual-domain Fourier regularization to improve accuracy of multi-material decomposition from sparse-view dual-energy CT data.
Deep learning for material decomposition in photon-counting CT,
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A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition
DECT-DRNet combines an FBP-based learnable Jacobian approximation with dual-domain Fourier regularization to improve accuracy of multi-material decomposition from sparse-view dual-energy CT data.