Real-time cardiac magnetic resonance imaging: a compressed-sensing framework incorporating sensor design and multidimensional signal reconstruction (2013–2016)

Abstract:
This project proposes a novel technological platform for cardiac magnetic resonance imaging (MRI). Existing MRI technology is limited by slow scan speeds, which compromise image accuracy. This research will provide a significantly improved MRI system, capable of rapidly producing detailed images of cardiac dynamics at greater levels of spatial and temporal resolution. The proposed approach integrates MRI hardware design with a compressed sensing framework for MRI signal formation, detection and reconstruction. This technology will deliver significant improvements in understanding and diagnosing cardiac disease, one of Australia's major health challenges.
Grant type:
ARC Discovery Projects
Researchers:
  • Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
  • Senior Research Officer
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council