308 - Addressing the brain correspondence problem: predicting robust and accurate mappings between multi-modal feature sets through use of Deep Learning
Kyriaki Kaza - 2018 entry
Sarah McElroy - 2017 entry
The aim of this project is to develop the next generation tools for advanced cardiovascular magnetic resonance (CMR) perfusion imaging. Novel CMR imaging sequences will be designed and implemented for both qualitative and quantitative perfusion imaging. This work will also involves the development of novel quantitative CMR reconstruction techniques. These new methods will be validated using our unique perfusion phantom and in patients. More...
Vittorio De Santis - 2017 entry
The aims of this project are to: 1) develop 89Zr-macrophage labelling methodologies based on new peptide/protein cell delivery vehicles, improving radiolabelling efficiencies and minimising 89Zr efflux from macrophages. 2) To undertake PET imaging of 89Zr-macrophages in preclinical tumour models to determine macrophage biodistribution at different disease stages. 3) To determine in preclinical tumour models whether 89Zr-macrophage biodistribution correlates with cancer therapy outcome. More...