Prof Andrew Reader
Andrew Reader is Professor of Imaging Sciences in the Biomedical Engineering Department within the School of Biomedical Engineering & Imaging Sciences at King’s College London. His primary research interest concerns image reconstruction and modelling for positron emission tomography (PET), and more recently its integration with simultaneous magnetic resonance imaging (MRI). Particular topics include multi-parametric simultaneous PET-MR imaging, high resolution PET imaging of the brain, kinetic analysis, fully 4D image reconstruction and direct kinetic parameter estimation. He is passionate about learning of existing methodologies and then seeking to innovate, in order to demonstrate new possibilities without being prematurely concerned about the computational burden of novel approaches. Bayesian methods for estimation of end point parameters of interest directly from raw medical imaging data, along with improved modelling of the signal and noise components in the data, allow notable noise reduction and improved spatial resolution to be achieved in medical imaging.
Recent research output highlights include simultaneous water and glucose metabolism imaging with PET, creation of multi-subject radiotracer-specific brain atlases for use in automated analysis and as priors in image reconstruction, and direct kinetic parameter estimation for raclopride imaging of the dopaminergic system.