3 papers
eess.IV2023
MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction
Tao Ge, Maria Medrano, Rui Liao +4
Numerous dual-energy CT (DECT) techniques have been developed in the past few decades. Dual-energy CT (DECT) statistical iterative reconstruction (SIR) has demonstrated its potenti…
eess.IV2022
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms
Tao Ge, Maria Medrano, Rui Liao +4
CT images have been used to generate radiation therapy treatment plans for more than two decades. Dual-energy CT (DECT) has shown high accuracy in estimating electronic density or…
eess.IV2021
A Machine-learning Based Initialization for Joint Statistical Iterative Dual-energy CT with Application to Proton Therapy
Tao Ge, Maria Medrano, Rui Liao +3
Dual-energy CT (DECT) has been widely investigated to generate more informative and more accurate images in the past decades. For example, Dual-Energy Alternating Minimization (DEA…