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Research Topic : funcitonal brain imaging
Socio-Economic Objective : Medical Instruments
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  • Funded Activity

    Discovery Projects - Grant ID: DP170103678

    Funder
    Australian Research Council
    Funding Amount
    $329,000.00
    Summary
    Imaging the invisible. This project aims to develop imaging technology to see and quantify objects normally invisible with X-rays. It will develop an X-ray imaging system that should provide orders of magnitude greater sensitivity to subtle changes in material composition than conventional radiography. It will devise quantitative image analysis tools for isolating specific materials of interest from complex multi-material samples, including low density components that often go undetected. Indust .... Imaging the invisible. This project aims to develop imaging technology to see and quantify objects normally invisible with X-rays. It will develop an X-ray imaging system that should provide orders of magnitude greater sensitivity to subtle changes in material composition than conventional radiography. It will devise quantitative image analysis tools for isolating specific materials of interest from complex multi-material samples, including low density components that often go undetected. Industries that could benefit significantly from this technology include airport security, the mining sector, agriculture, manufacturing quality control, and biomedical researchers studying anatomical form and function.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT160100454

    Funder
    Australian Research Council
    Funding Amount
    $805,054.00
    Summary
    Non-destructing X-ray testing. This project aims to improve imaging with X-rays, providing better image quality with higher throughput at a lower radiation dose. It will develop an X-ray imaging system that provides orders of magnitude greater sensitivity for detecting low-density objects that are often invisible with conventional X-ray scanners, and quantitative image analysis tools that can isolate materials from complex multi-material samples and detect individual chemical elements. Significa .... Non-destructing X-ray testing. This project aims to improve imaging with X-rays, providing better image quality with higher throughput at a lower radiation dose. It will develop an X-ray imaging system that provides orders of magnitude greater sensitivity for detecting low-density objects that are often invisible with conventional X-ray scanners, and quantitative image analysis tools that can isolate materials from complex multi-material samples and detect individual chemical elements. Significant benefits from these technologies are expected in industries including airport security, mining, agriculture, manufacturing quality control, and in research fields from medicine to geology.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100423

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Haemodynamic investigation of flow diverter stents for the treatment of intracranial aneurysms. This project will explore the engineering of a flow diverter, an endovascular device for the treatment of brain aneurysms. The project will determine the optimal design of new types of flow diverters, which in turn could improve the effectiveness of treatments, thus reducing the associated costs of cerebral haemorrhage and stroke.
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    Active Funded Activity

    Mid-Career Industry Fellowships - Grant ID: IM230100002

    Funder
    Australian Research Council
    Funding Amount
    $1,056,049.00
    Summary
    Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and .... Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101312

    Funder
    Australian Research Council
    Funding Amount
    $369,000.00
    Summary
    X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect t .... X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect to develop software and hardware techniques to realise its potential and extend it to ghost tomography. The focus of this project is on reducing cancer risk in medical imaging, and allowing real-time quality control for 3D printing in safety-critical industries such as aerospace.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100374

    Funder
    Australian Research Council
    Funding Amount
    $738,125.00
    Summary
    Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the .... Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the ability to capture images of a moving sample, this project will enable innovative biomedical and materials research studies, and develop new imaging technologies for use in security, hospitals and manufacturing. New methods of x-ray imaging will have wide-ranging benefits for society, the economy and healthcare.
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