Researchers: Matthias Ehrhardt, Stephen Price, Roushanak Rahmat, Carola-Bibiane Schönlieb
Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique with a large potential as it allows imaging the pathways of water inside the human brain. This in turn sheds light on the brain’s architecture and the connectedness of its components (not sure this is correct like this). The data needed for DTI is very high-dimensional and therefore with current state-of-the-art techniques only low resolution DTI images can be acquired in reasonable time. Next to the DTI data, standard clinical protocols include the acquisition of anatomical MRI scans such as T1-weighted or FLAIR which are of much higher spatial resolution than DTI. The aim of this project is get the best of these two worlds by fusing the information from DTI and anatomical MRI. The outcome of this fusion is a DTI image with much higher spatial resolution at no extra cost in scan time as the standard clinical protocol is not altered.