SOURCE-LINKED INTELLIGENCE
Screening And Future Enhanced MRI
(iv-canulation and a small risk of allergic reactions) and the environment (pollution of surface water). First, I aim to enhance signal changes using a strongly reduced dose of contrast with advanced deep learning (DL). Further studies are tailored at assessment of unenhanced MRI. Particularly, I will validate novel diffusion weighted imaging (DWI) sequences capable of generating high resolution diagnostic images within short scan times using DL-based reconstruction. Furthermore, I will investigate arterial spin labelling (ASL) based breast imaging strategies that show perfusion without the need for contrast administration. Finally, we will combine unenhanced MRI techniques in a general adversarial network to construct synthetic breast MRI images. Repeated reader studies will be conducted to assess image quality and diagnostic value. SAFE-MRI will thus consolidate my leading role in breast imaging and enable me to design the breast screening of the future. Breast cancer, Screening, Abbreviated breast MRI, MRI reconstruction, Unenhanced MRI
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2984796
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.