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Field of Research : Engineering Instrumentation
Socio-Economic Objective : Medical Instruments
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  • Funded Activity

    Discovery Projects - Grant ID: DP170104282

    Funder
    Australian Research Council
    Funding Amount
    $270,500.00
    Summary
    Portable three-dimensional ultra-low field MRI. This project aims to address low signal-to-noise ratio in ultra-low-field (ULF) MRI, using dynamic, mechanically-operated small permanent magnet arrays to generate magnetic fields needed for pre-polarisation and spatial encoding. Superconducting magnets make conventional MRI scanners too heavy and expensive for much of the world’s population. ULF MRI instruments offer image contrast mechanisms, are less costly and potentially portable, so can be us .... Portable three-dimensional ultra-low field MRI. This project aims to address low signal-to-noise ratio in ultra-low-field (ULF) MRI, using dynamic, mechanically-operated small permanent magnet arrays to generate magnetic fields needed for pre-polarisation and spatial encoding. Superconducting magnets make conventional MRI scanners too heavy and expensive for much of the world’s population. ULF MRI instruments offer image contrast mechanisms, are less costly and potentially portable, so can be used in unconventional situations. This project will design, construct and evaluate an instrument capable of three-dimensional 3D ULF-MRI. This technology is expected to be useable in field hospitals and emergency settings, and to benefit fields including magnetic refrigeration and remote sensing.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100200

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Dynamic terahertz superlenses for sub-wavelength sensing and imaging. We propose to develop a 'dynamic terahertz superlens' that will dramatically enhance the performance of existing T-ray imaging systems used for biosensing of cells, DNA and proteins. The science of the superlens is remarkable in that it enables image resolution shorter than the wavelength.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100141

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Breathing and snoring sound analysis in sleep apnea. About 800,000 Australians suffer from the disease sleep Apnoea (OSA) which has snoring as its earliest symptom. We develop electronics and snore processing algorithms to classify snorers into OSA-positive and OSA-negative classes, based on advanced technology derived from speech recognition systems.
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    Showing 1-3 of 3 Funded Activites

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