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  • Funded Activity

    Discovery Projects - Grant ID: DP140103593

    Funder
    Australian Research Council
    Funding Amount
    $365,000.00
    Summary
    A novel magnetic resonance imaging (MRI) technique to characterise white matter microstructure in the brain. Integrity of the cellular architecture of brain white matter (WM) is vital to normal signal conduction and is disrupted in diseases such as multiple sclerosis. Due to their characteristic molecular arrangements, WM microstructures have distinct magnetic susceptibility characteristics that can be detected with high-field and ultra high-field magnetic resonance imaging (MRI). The objective .... A novel magnetic resonance imaging (MRI) technique to characterise white matter microstructure in the brain. Integrity of the cellular architecture of brain white matter (WM) is vital to normal signal conduction and is disrupted in diseases such as multiple sclerosis. Due to their characteristic molecular arrangements, WM microstructures have distinct magnetic susceptibility characteristics that can be detected with high-field and ultra high-field magnetic resonance imaging (MRI). The objective of this project is to develop and validate a novel method of mapping susceptibility effects at high (sub-voxel) resolution with MRI. The outcomes will be a more comprehensive understanding of the relationship between changes in MRI signal and WM microarchitecture and improved susceptibility mapping that may lead to earlier diagnosis and more effective therapeutic monitoring.
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    Active Funded Activity

    X-LAB Beamline: Accelerating Applied Research With Tunable Electron Beams.

    Funder
    Australian Research Council
    Funding Amount
    $391,000.00
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    Funded Activity

    Discovery Projects - Grant ID: DP130100437

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Spatiotemporal dynamics and analysis of functional magnetic resonance imaging. Functional magnetic resonance imaging (fMRI) produces signals generated by brain activity in fine detail, but links between activity and images are poorly understood, posing a barrier to full use of the technology. Predictions from our new theory of such links will be made, tested experimentally and used to improve fMRI and discover new phenomena.
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