Latent Diffusion Model for CT Synthesis

Type: Project

Status: running

Date: March 1, 2024 - July 31, 2024

Supervisors: Chang Liu, Andreas Maier

Latent diffusion model is a successful generative model in the modern computer vision researches. Modeling the generative process as image denoising, the diffusion models can generate realistic images in high quality and shows superior ability as the GAN-based models. In medical imaging, computed tomography (CT) is a well researched imaging modality and also widely applied in clinics. In this project, we will investigate the feasibility of modern diffusion models for the task of CT synthesis.