no code implementations • 30 Jun 2022 • Maria Miscouridou, José A. Pineda-Pardo, Charlotte J. Stagg, Bradley E. Treeby, Antonio Stanziola
Here, three methods for generating pseudo-CT images from magnetic resonance (MR) images were compared as an alternative to CT. A convolutional neural network (U-Net) was trained on paired MR-CT images to generate pseudo-CT images from either T1-weighted or zero-echo time (ZTE) MR images (denoted tCT and zCT, respectively).