Jennifer's research focusses on translation of rapid magnetic resonance imaging (MRI) techniques into the clinical environment. These tools help to enhance the accuracy, efficiency and effectiveness of healthcare through technological advances.
One of her primary aims is to reduce the need for patient cooperation and to lower scan times, particularly in children. This makes CMR more accessible, allowing improvements in scan efficiency and ultimately reduces waiting times for patients. This challenging area of MR physics requires specialist acquisition and reconstruction techniques. Her research to-date has transformed the clinical service at Great Ormond Street Hospital, by enabling quick scans; significantly improving patient throughput, with no additional cost. These techniques are also being tested in other UCLP clinical departments, where they are being applied to cardiovascular disease, interventional studies, abdominal motility studies, as well as in fetal imaging.
She has vast experience in efficient non-Cartesian MRI acquisition techniques, and a variety of reconstruction technologies, including parallel imaging, compressive sensing and machine learning. These enable highly accelerated imaging, with accurate reconstructions, which can be performed with low-latency at the scanner interface, where they can have a direct impact in the clinical environment.