Research

PET and MRI for Brain Imaging

• Low-dose PET Image Reconstruction using Deep Learning
• 4D PET Image Reconstruction using Deep Learning
• PET Tau and Amyloid-β Imaging to Study Alzheimer’s Disease
• Imaging Markers for Neurodegenerative Diseases

In this figure, [¹⁸F]FDG brain images are shown for two different reconstruction methods: Maximum Likelihood Expectation Maximization (MLEM) algorithm, the standard PET image reconstruction method, and MR-Assisted MAP-EM reconstruction. The animation shows: 1) the same slice converging to a solution during the reconstruction process, 2) all the slices for the final reconstructed image, and 3) rotating Maximum Intensity Projections (MIPs).

MRI and CT for Musculoskeletal Applications

• Deep Learning Segmentation Methods for Musculoskeletal Applications
• MRI Biomarkers to Study Sarcopenia and Muscle Health
• Deep Learning for Metal-artefacts Reduction Methods