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MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction
Therefore, to improve its convergence, we have embedded DECT SIR into a deep learning model-based unrolled network for 3D DECT reconstruction (MB-DECTNet) that can be trained in an end-to-end fashion.
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms
We compared DEAM with the proposed method to the original DEAM and vendor reconstructions with and without metal-artifact reduction for orthopedic implants (O-MAR).
A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy
Dual-energy CT (DECT) has been widely investigated to generate more informative and more accurate images in the past decades.
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