Temporally Aware Volumetric Generative Adversarial Network-Based MR Image Reconstruction with Simultaneous Respiratory Motion Compensation: Initial Feasibility in 3D Dynamic Cine Cardiac MRI
Develop a novel three‐dimensional (3D) generative adversarial network (GAN)‐based technique for simultaneous image reconstruction and respiratory motion compensation of 4D MRI. Our goal was to enable high‐acceleration factors 10.7X‐15.8X, while maintaining robust and diagnostic image quality superior to state‐of‐the‐art self‐gating (SG) compressed sensing wavelet (CS‐WV) reconstruction at lower acceleration factors 3.5X‐7.9X.
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Temporally Aware Volumetric Generative Adversarial Network-Based MR Image Reconstruction with Simultaneous Respiratory Motion Compensation: Initial Feasibility in 3D Dynamic Cine Cardiac MRI
Semantic Scholar · Medicine · 2021
Abstract
Develop a novel three‐dimensional (3D) generative adversarial network (GAN)‐based technique for simultaneous image reconstruction and respiratory motion compensation of 4D MRI. Our goal was to enable high‐acceleration factors 10.7X‐15.8X, while maintaining robust and diagnostic image quality superior to state‐of‐the‐art self‐gating (SG) compressed sensing wavelet (CS‐WV) reconstruction at lower acceleration factors 3.5X‐7.9X.