ESTRO 2023 - Abstract Book

S1349

Digital Posters

ESTRO 2023

Conclusion We have shown that our StyleGAN can learn to generate the spectrum of head-and-neck 3D CTs with a realistic and detailed anatomic structure. This enables a much finer and more diverse synthesis for data augmentation compared to using body phantoms. Our capacity to control the 3D generation at each resolution level allows us to well reconstruct real 3D CTs, enabling many medical image downstream tasks. In the future, we aim to increase the output resolution and . We will also explore whether the 3D CT synthesis process can be guided towards tumor generation in specific positions and sizes.