Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the ....Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Read moreRead less
Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and ....Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and joint estimation of physiological and metabolic organ activity. These advances will create innovative imaging technologies for advanced biomedical imaging research with a particular emphasis in healthy ageing.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100029
Funder
Australian Research Council
Funding Amount
$700,000.00
Summary
High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the bo ....High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the body, investigating mechanisms of brain plasticity in predictive learning, understanding the molecular pathways involved in neurodegeneration and cancer, developing novel methods for multi-modal image analysis, and developing and validating new radiation detectors for the next generation of imaging technology.Read moreRead less
Mechanisms of memory function involving site-specific tau phosphorylation. This project aims to understand the molecular principles that facilitate encoding, maintenance and retrieval of memories in the brain. To store memories in brain circuits, electrical and chemical signals are crucial. Brain cells can integrate signals into biochemical modifications of intracellular proteins. The nature of the protein modifications that represent memory within brain cells is unknown. This project uses innov ....Mechanisms of memory function involving site-specific tau phosphorylation. This project aims to understand the molecular principles that facilitate encoding, maintenance and retrieval of memories in the brain. To store memories in brain circuits, electrical and chemical signals are crucial. Brain cells can integrate signals into biochemical modifications of intracellular proteins. The nature of the protein modifications that represent memory within brain cells is unknown. This project uses innovative genome editing, mathematical modelling and proteomic approaches, to study how biochemical modifications of a key protein called tau help encode and retrieve memories. These molecular insights will make a significant advance in the current understanding of a brain function that is essential to all human activities.Read moreRead less
Molecular control of memory traces. This project aims to understand how particular molecules help encode memories in the brain for future retrieval. Individual memories are encoded in brain cells through an unknown physical process. This project uses innovative approaches to manipulate memory-containing cells and will provide a new detailed explanation of memory. Outcomes of this work will significantly advance the current understanding of how memories are physically generated and maintained, wh ....Molecular control of memory traces. This project aims to understand how particular molecules help encode memories in the brain for future retrieval. Individual memories are encoded in brain cells through an unknown physical process. This project uses innovative approaches to manipulate memory-containing cells and will provide a new detailed explanation of memory. Outcomes of this work will significantly advance the current understanding of how memories are physically generated and maintained, which is an essential component of human and animal life. This research provides significant benefits in understanding the biology behind memory and in maintaining memory capacity in ageing.
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Imaging the human cerebellum during motor learning and timing. The cerebellum has long fascinated scientists for its remarkable anatomy and physiology and the critical role that it plays in motor function, and more recently for its more general functions of cognition and emotion. Developments in non-invasive imaging of cerebellar activity have opened up exiting new opportunities to probe its wider functioning. We aim to further develop these new methods in order to facilitate their availability ....Imaging the human cerebellum during motor learning and timing. The cerebellum has long fascinated scientists for its remarkable anatomy and physiology and the critical role that it plays in motor function, and more recently for its more general functions of cognition and emotion. Developments in non-invasive imaging of cerebellar activity have opened up exiting new opportunities to probe its wider functioning. We aim to further develop these new methods in order to facilitate their availability to the wider research community, and to demonstrate their utility by application to the role of the cerebellum in learning and timing. The outcomes of this work will be of considerable benefit to a wide range of scientists and clinicians who will be able to make use of the new methods for their own research.Read moreRead less
Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha ....Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.Read moreRead less
Beyond Neuroinflammation: The Role of Microglia in Synaptic Plasticity. Microglia are the immune cells of the brain and are known to respond to infectious and non-infectious insults to the nervous system. This project aims to use the transparent and genetically amenable brain of the zebrafish, to explore new functions of microglia at the single cell level in the intact, behaving animal, through visualization of cellular components of the brain (neurons, glia, microglia, blood vessels, synapses), ....Beyond Neuroinflammation: The Role of Microglia in Synaptic Plasticity. Microglia are the immune cells of the brain and are known to respond to infectious and non-infectious insults to the nervous system. This project aims to use the transparent and genetically amenable brain of the zebrafish, to explore new functions of microglia at the single cell level in the intact, behaving animal, through visualization of cellular components of the brain (neurons, glia, microglia, blood vessels, synapses), and through the genetic manipulation of synaptic density, and real time observation of microglia in the process.Read moreRead less
Effects of audio-visual rhythmic stimulation on motor functioning. This project aims to determine how the human capacity for entrainment contributes to the development and modification of motor functions through passive perception. Human movements are spontaneously attracted to auditory and visual environmental rhythms. The intended outcome is knowledge about short and long-term effects of entrainment on spontaneous cerebral, muscular and behavioural motor activity, and how auditory rhythms comb ....Effects of audio-visual rhythmic stimulation on motor functioning. This project aims to determine how the human capacity for entrainment contributes to the development and modification of motor functions through passive perception. Human movements are spontaneously attracted to auditory and visual environmental rhythms. The intended outcome is knowledge about short and long-term effects of entrainment on spontaneous cerebral, muscular and behavioural motor activity, and how auditory rhythms combined with visual depictions of human movement modulate these effects. This research should advance the understanding of perception and action links, ultimately opening pathways for training patients with reduced movement capacities and developing health technologies.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less