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Australian State/Territory : QLD
Field of Research : Engineering Instrumentation
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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

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100069

    Funder
    Australian Research Council
    Funding Amount
    $200,000.00
    Summary
    A complete thermo-electric characterisation facility for exploration of novel materials and devices at high temperatures. This high temperature materials’ characterisation facility will be the most advanced measurement setup of its kind in Australia. The unique features of the equipment and its high versatility will substantially enhance national research capabilities in functional materials, metal engineering, manufacturing engineering, chemistry, and physics.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140100229

    Funder
    Australian Research Council
    Funding Amount
    $293,920.00
    Summary
    Ultra-low field magnetic resonance imaging with an array of localised magnetic field sensor . The aim of this project is to design and construct a multifunctional ultra-low magnetic field (ULF) magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) instrument equipped with novel magnetic field sensors. This project is significant because it will deliver an instrument with enhanced sensitivity which is capable of obtaining non-invasive three-dimensional structural imaging of sample .... Ultra-low field magnetic resonance imaging with an array of localised magnetic field sensor . The aim of this project is to design and construct a multifunctional ultra-low magnetic field (ULF) magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) instrument equipped with novel magnetic field sensors. This project is significant because it will deliver an instrument with enhanced sensitivity which is capable of obtaining non-invasive three-dimensional structural imaging of samples. This instrument will enable operation of highly sensitive ULF-MRI or ULF-NMR with regenerative energy sources and be a low-cost solution; reducing operation and maintenance costs as well as power consumption.
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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 1-4 of 4 Funded Activites

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