The project aims to translate developments in ultra-sensitive MRI sensors to a clinically-relevant setting. To create high-sensitivity sensors for better images, we aim to create a tight-fitting system which places the sensorsâakin to antennasâcloser to the brain. This will improve the quality of the signals that we can extract from the brain, and allow us to use these improvements to capture images that have higher resolution and better contrast. Using this imaging improvement, we aim to then create a large normative dataset of grey matter thicknesses.
Currently available diagnostic imaging tools, such as chest radiography and computed tomography, are inadequate for assessing the lungs of preterm neonates. There is considerable interest in using magnetic resonance imaging (MRI) to monitor lung development in neonates longitudinally, since it is a non-invasive and non-ionizing imaging modality. MRI can potentially detect complications at an early stage and improve outcomes by monitoring the effectiveness of therapy, however, images typically suffer from poor signal and organ motion.
This project aims to assess how the use of the novel ultra-short echo-time (UTE) MR imaging technology can add value to conventional MRI for detection and quantification of blood products in hemophilic joints. We will test this novel technology in joints of hemophilic patients with different stages of arthropathy presenting with blood products at different stages of degradation as compared with existing MRI sequences.