Quantitative MR Fingerprinting for Synthetic CT Via a Deformably-Registered Fusion Transformer Network
To develop and validate a deep learning framework for high-accuracy pseudo-CT synthesis from rapid, multi-parametric Magnetic Resonance Fingerprinting (MRF) for liver radiotherapy. This work addresses the technical challenge of translating quantitative tissue...
Poster Program · Therapy Physics