Understanding progressive vision loss in the eye disease glaucoma. Glaucoma is the second leading cause of irreversible vision loss in elderly Australians, although determining treatment failure is currently very dif?cult. This project will radically improve the measurement of glaucoma progression and treatment failure. We will also address fundamental questions regarding how glaucoma destroys vision.
Using the eye as a window to the central nervous system for improved drug testing. The annual cost of treating brain illnesses is US$250 billion. Each new drug costs about US$900 million to develop. This research will give Pfizer Pty Ltd, the project’s industry partner, a more efficient and direct way of testing whether drugs can get into and affect the brain. This will reduce the cost of drug development, which ultimately means cheaper drugs. The project will develop new technologies to put Aus ....Using the eye as a window to the central nervous system for improved drug testing. The annual cost of treating brain illnesses is US$250 billion. Each new drug costs about US$900 million to develop. This research will give Pfizer Pty Ltd, the project’s industry partner, a more efficient and direct way of testing whether drugs can get into and affect the brain. This will reduce the cost of drug development, which ultimately means cheaper drugs. The project will develop new technologies to put Australia at the forefront of neuropharmaceutical and neuroscience research. A new research platform will foster collaborations with the pharmaceutical industry both within Australia and overseas. This industrial link will promote a unique post-graduate experience by providing exposure to academic and industrial environments for Australian scientists.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101222
Funder
Australian Research Council
Funding Amount
$371,392.00
Summary
The development of novel magnetic resonance imaging methods to investigate brain structure and function. Magnetic resonance imaging (MRI) is a non-invasive method that has revolutionised neuroscience. The goal of this project is to develop state-of-the-art MRI analysis methods that reveal new information about brain structure and function. These novel neuroimaging tools will be instrumental in furthering our understanding of how the brain works.
Advanced magnetic resonance imaging methods for the characterisation of brain structure and function. Magnetic resonance imaging (MRI) is a non-invasive method that has revolutionised the development of neuroscience and neurology. The goal of this project is to develop advanced MRI methods for the study of brain structure and function which will be applied to the investigation of epilepsy and stroke.
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.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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In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less