Code
01D21422
Duration
01 October 2022 → 30 September 2026
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Artificial intelligence not elsewhere classified
-
Engineering and technology
- Biomedical image processing
- Biomedical image processing
- Biomedical instrumentation
- Data visualisation and imaging
Keywords
Deep learning
Dynamic imaging (4D)
Medical imaging
Total-body PET
Parametric imaging
Absolute quantification
Project description
TB-PET provides tools to image dynamic radiopharmaceutical distribution in the whole body, simultaneously capturing the uptake in different organs. We aim to investigate the potential of DL for enhancing image quality of parametric maps generated from such 4D (3D + time) TB-PET studies. The goal is to apply DL for direct parametric map estimation in clinical and preclinical settings.