Advanced applications of highly accelerated cardiac magnetic resonance imaging

This project aims to explore the clinical utility of novel MRI lung perfusion imaging using advanced simultaneous multi-slice (SMS) acquisition, image reconstruction, and computational modelling. By leveraging high-resolution dynamic imaging, we seek to provide detailed assessments of pulmonary perfusion and haemodynamics in patients with pulmonary embolism (PE). Our hypothesis is that this cutting-edge imaging approach can enhance surgical and interventional planning by offering precise, individualized insights into perfusion heterogeneity and vascular obstruction. The study will validate MRI-derived parameters against conventional modalities, such as CT pulmonary angiography (CTPA) and V/Q scans and assess their predictive value for clinical outcomes. By integrating advanced computational modelling, the non-invasive and radiation free perfusion maps generated using a novel whole-body low-field scanner, we aim at integrating lung perfusion imaging data in the pre-operative planning of patients with pulmonary embolism to simulate the physiological effects of interventions and optimize treatment strategies. Ultimately, we seek to establish MRI lung perfusion imaging as a transformative tool for improving the management of PE and associated complications.