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
    Senior Research Officer
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council