My Topol fellowship problem / project:
MRI scanners produce a vast amount of data, this includes the images themselves, but they also output extremely data-rich metadata. Typically, this metadata is stored with the DICOM images but is rarely accessed and almost never used for wider audits due to the complexity of the data structure. I will address this as a data engineering problem and produce a system by which this data can be accessed for the optimisation of decisions in a clinical MRI department.
I studied Physics with Medical Physics as an undergraduate, before completing a masters and PhD in MR imaging technique for assessing cardiac tissue regeneration therapies. Since then I have worked in fetal and placental imaging, and as a clinical MRI physicist. In my current role as a Senior Engineer in Artificial Intelligence I aim to develop the people, platforms, and policy that enable digital transformation of healthcare in the NHS.