Coupling biophotonic modalities with machine based recognition systems for disease diagnosis. This project will develop new ways to diagnose canine cancer, malaria and atherosclerosis using infrared-based technology and sophisticated pattern recognition techniques in the hope to discover infrared biomarkers that will lead to early diagnosis of the disease and ultimately save lives.
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.
In-vivo detection of airway injury and disease using phase contrast X-ray velocimetry. Currently diagnosis of lung disease, a major cause of death in humans, is based on clinical symptoms that do not usually manifest until the disease is well advanced. This project will develop a novel imaging technique, X-ray velocimetry, to detect changes in tissue before symptoms arise, potentially leading to strategies for managing lung diseases.
Low dose methods for detecting early lung disease using x-ray phase contrast imaging. This project will develop a highly sensitive, low-dose x-ray imaging technique for the early detection of diseases of the respiratory system. This technology will have the potential to be used as a diagnostic screening tool to reduce the incidence of respiratory related deaths from diseases such as lung cancer and emphysema.
Single spin molecular microscope. This project aims to create a new tool for imaging and analysing material at the atomic level. The tool is based on individual quantum coherent spins in diamond which can be manipulated and optically read. The project expects to generate knowledge in quantum metrology and an understanding of molecular dynamics at the nanoscale. The expected outcome is a new type of device capable of imaging complex physical systems at the level of their individual constituent co ....Single spin molecular microscope. This project aims to create a new tool for imaging and analysing material at the atomic level. The tool is based on individual quantum coherent spins in diamond which can be manipulated and optically read. The project expects to generate knowledge in quantum metrology and an understanding of molecular dynamics at the nanoscale. The expected outcome is a new type of device capable of imaging complex physical systems at the level of their individual constituent components. This has significant benefits in improving designer materials, energy production, information storage, and drug design.Read moreRead less
Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending o ....Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending optical imaging to areas not previously accessible. The project could develop novel quantification models to allow longitudinal assessment and comparison between subjects. Validating the tools with specific biomarkers, it could provide outcomes in breast and liver cancer, and a framework to explore other diseases.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100413
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Neurobiology of parenting and disruptive behaviour disorders in childhood. This project aims to examine the genetic determinants and contribution of parenting to childhood disruptive behaviour disorders. These disorders are often chronic and associated with comorbid conditions in later life, creating enormous personal and social costs for individuals and families, and a burden on the economy. About a third of children do not respond to current forms of early intervention, so clinicians need evid ....Neurobiology of parenting and disruptive behaviour disorders in childhood. This project aims to examine the genetic determinants and contribution of parenting to childhood disruptive behaviour disorders. These disorders are often chronic and associated with comorbid conditions in later life, creating enormous personal and social costs for individuals and families, and a burden on the economy. About a third of children do not respond to current forms of early intervention, so clinicians need evidence of the interaction between parenting practices and the developmental aspects of these disorders This project will examine oxytocin genetics in toddlers with disruptive behaviour disorders and their parents, to ultimately identify the genetic, family, and developmental processes that shape persistent disorders.Read moreRead less
Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the in ....Integrated multi-level interpretation and its applications for intelligent multimodality biomedical image navigation, retrieval and tracking. The 64- and 128-slice positron emission tomography – computed tomography (PET-CT) devices at the Royal Prince Alfred Hospital were the first in the country. These scanners, with the medical cyclotron and radiochemistry facilities, represent an investment of over A$13 million. This project will address pressing issues in optimising the utilisation of the information and systems to provide better service to patients and referring clinicians. This research will add considerable value to Australia's medical imaging infrastructure and healthcare delivery; and advance scientific research in better understanding of system biology, physiology and pathology. The research outcomes will strengthen Australia’s leading position in biomedical information technology research and Australian medical imaging expertise.Read moreRead less
Biomedical Visual Image Analytics for Multi-disciplinary Retrieval. The project aims to develop a framework to provide users with the interactive access to information that is necessary for the best collaborative decision-making. Visual analytics theory is becoming increasing valuable for managing ‘big data’ because it can provide interactive and intuitive understanding of the rich information embedded within complex data and decision support systems. There are, however, fundamental challenges t ....Biomedical Visual Image Analytics for Multi-disciplinary Retrieval. The project aims to develop a framework to provide users with the interactive access to information that is necessary for the best collaborative decision-making. Visual analytics theory is becoming increasing valuable for managing ‘big data’ because it can provide interactive and intuitive understanding of the rich information embedded within complex data and decision support systems. There are, however, fundamental challenges that currently prevent visual analytics from being routinely applied to multi-disciplinary collaboration, which is now ‘the norm’ to solve large complicated problems where there is significant social impact. This project aims to address these challenges and improve visual analytics theory by developing a biomedical visual image analytics framework that enables interactive information retrieval of multidisciplinary databases.Read moreRead less