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Status : Active
Research Topic : CLINICAL GUIDELINES
Field of Research : Biomedical imaging
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230102070

    Funder
    Australian Research Council
    Funding Amount
    $568,000.00
    Summary
    Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and stati .... Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and statistical methods that fully exploit the richness and complexity of the data generated by TB-PET, enabling 3D quantitative assays of molecular processes throughout the entire human body with unparalleled sensitivity. The technology we create will open up new capability for the study of complex physiological systems.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101628

    Funder
    Australian Research Council
    Funding Amount
    $512,607.00
    Summary
    Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human bo .... Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human body. Thus, the new imaging methods can probe deeper biological functionality while examining tissue structure. The potential benefits include: expanding the scope and capabilities of current MRI, facilitating a wide range of imaging-based research and applications, and accelerating knowledge expansion in life science.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240101321

    Funder
    Australian Research Council
    Funding Amount
    $855,202.00
    Summary
    Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future appli .... Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future applications in humans with technology for detecting, predicting and modulating cognitive performance.
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