Session Item

Medical imaging's impact on oncological patients' diagnosis and therapy has grown significantly over the last decades. Especially in RT, imaging plays a crucial role in the entire workflow, from treatment simulation to patient positioning and monitoring.

In the last decade, synthesizing images inter or intra-modality has raised increasing interest, especially when based on artificial intelligence algorithms. Image synthesis generally aims at maintaining image quality or enabling treatment to reduce the number of images that need to be acquired.

This talk will review the primary application for radiotherapy, covering, among others, MRI-only radiotherapy and CBCT-based adaptive RT, providing an overview of the main approaches adopted.

Finally, the SynthRAD2023 Grand Challenge (https://synthrad2023.grand-challenge.org) will be announced and briefly presented.