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Field of Research : Medical physics
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230103091

    Funder
    Australian Research Council
    Funding Amount
    $500,983.00
    Summary
    Space RAdiation Monitoring System (SRAMS) for safe space missions. The goal of the project is to develop a comprehensive space radiation monitoring system (SRAMS) that can evaluate: i) the radiation related hazards for astronauts, ii) the radiation damage in electronics during space missions and iii) the ground radiation facility environment used in radiation hardness assurance tests. SRAMS will also address important issue in space by minimizing manned or satellite space mission aborts due to s .... Space RAdiation Monitoring System (SRAMS) for safe space missions. The goal of the project is to develop a comprehensive space radiation monitoring system (SRAMS) that can evaluate: i) the radiation related hazards for astronauts, ii) the radiation damage in electronics during space missions and iii) the ground radiation facility environment used in radiation hardness assurance tests. SRAMS will also address important issue in space by minimizing manned or satellite space mission aborts due to space radiation adverse effects on astronaut’s health and electronics failure, and translates into an enormous economic value proposition. SRAMS will be paramount for leveraging the quantifiable standards of the space-radiation qualification facilities that are important for boosting the Australian Space industry.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101327

    Funder
    Australian Research Council
    Funding Amount
    $476,000.00
    Summary
    Dark-field: A new kind of x-ray imaging. This project aims to develop new x-ray imaging capabilities that look inside an object and map out those details that are too small to be seen directly, by extracting the dark-field which is produced as x-ray light scatters. Dark-field images can reveal tiny cracks in manufactured parts, discover powdered explosives or drugs during security screening, and detect changes in the size of the many tiny air sacs in the lungs. Expected outcomes of this project .... Dark-field: A new kind of x-ray imaging. This project aims to develop new x-ray imaging capabilities that look inside an object and map out those details that are too small to be seen directly, by extracting the dark-field which is produced as x-ray light scatters. Dark-field images can reveal tiny cracks in manufactured parts, discover powdered explosives or drugs during security screening, and detect changes in the size of the many tiny air sacs in the lungs. Expected outcomes of this project include new instruments and methods of analysis that will allow x-ray dark-field imaging to be quantitative and widely adopted. These methods should benefit non-invasive multi-scale imaging at the Australian Synchrotron and equip x-ray imaging in industry, security and healthcare.
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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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