It would be easier to answer what I’m not currently working on!
Generally, I work on developing and validating faster, more sensitive MRI methods.
One of these methods is called MR fingerprinting. This uses physics simulations and advanced image reconstruction methods to create faster imaging, which I hope might one day replace current clinical MRI scans – without increasing the scan times.
A second class of methods is called X-nuclei MRI. When you get an MRI, it images hydrogen atoms in your body but there are many other kinds of atoms that can be imaged with MRI, with very interesting information and I work on these.
A third category of work is on machine-learning methods for image analysis, and we’ve published an automated technique for identifying knee tissues on MRIs. This is important for diseases where there are structural changes.
I’ve also coded the Cambridge contribution to EXAM, a project for machine learning of x-ray images of COVID patients, which was a huge collaboration with Nvidia and Harvard, involving 20 international sites.
Finally, I help in the administration of a preclinical MRI, used for testing novel methods before they come into humans.