Improved Techniques for Substitute CT Generation from MRI Datasets

This project will determine improved rapid and motion resilient MR approaches for deep learning-based generation of substitute CT images, enabling greater quantitative accuracy and robustness for PET/MR and MR-only radiation treatment planning.