P177: Generation of Synthetic Contrast-Enhanced Breast-MR Images From Native Sequences Using Deep Learning
FAU own research funding: EFI / IZKF / EAM ...
Start date : 01.11.2025
End date : 30.10.2026
Project details
Scientific Abstract
The application of Latent Diffusion Models (LDMs) in the context of breast MRI is being investigated, aiming to generate synthetic contrast-enhanced (CE) subtraction sequences of the breast by using native MRI sequences as input for the conditioning process. The resulting images will be evaluated regarding their suitability for diagnostic purposes. The results will help to better understand the potential and limits of LDMs in the context of generating synthetical CE breast MRI.
