Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels.

Significant differences in performance and robustness of deep learning models for synthetic CT generation were observed depending on the input. In-phase images outperformed opposed-phase images, and Dixon reconstructed multichannel inputs outperformed single-channel inputs.