Technology and Tools for Quantitative Neurodiagnostics Using Ultra-High Resolution Magnetic Resonance Imaging

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 sensors—akin to antennas—closer 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.

Assessment of the Neonatal Lung Using Structural and Functional MRI

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.

Towards Detection of Subclinical Joint Bleeds in Hemophiliacs: Advanced Imaging

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.