Combines NMAR with two U-Nets to segment hip and thigh muscles in metal-contaminated CT, reducing average ASD from 1.17 to 1.10 mm on simulated data from 20 patients.
Simulation of x-ray spectra
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Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction
Combines NMAR with two U-Nets to segment hip and thigh muscles in metal-contaminated CT, reducing average ASD from 1.17 to 1.10 mm on simulated data from 20 patients.