Deep Learning Enhanced Parametric 4D Total Body PET Imaging

01 October 2022 → 31 October 2023
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Artificial intelligence not elsewhere classified
  • Engineering and technology
    • Biomedical image processing
    • Biomedical image processing
    • Biomedical instrumentation
    • Data visualisation and imaging
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.