Improved patient care and image resolution in magnetic resonance imaging. A better understanding of the vibration within MRIs would result in techniques to both improve the image resolution and lower the noise emissions. Direct improvement of health care for Australians will result. Both the patient and the working environment around these scanners will improve as well as image resolution. Presently imaging is possible at the cellular scale, but only through improved MRI stability will imaging r ....Improved patient care and image resolution in magnetic resonance imaging. A better understanding of the vibration within MRIs would result in techniques to both improve the image resolution and lower the noise emissions. Direct improvement of health care for Australians will result. Both the patient and the working environment around these scanners will improve as well as image resolution. Presently imaging is possible at the cellular scale, but only through improved MRI stability will imaging reach the molecular level. Medical research that is linked to MRI imaging can be expected to advance in step with improved image resolution. The resulting knowledge could also be used in other research and industrial areas, including micro- and nano-scale devices, where vibration is a critical performance limiting factor.Read moreRead less
Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from pha ....Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from phase contrast chest radiographs will be developed during this research. Eventual outcomes are likely to lead to improved methods of detecting lung disease and injury for both biomedical and clinical studies.Read moreRead less
High-Fidelity Modelling for Robotic-Assisted Minimally Invasive Needle Insertion. This project will develop robotic-assisted needle insertion and greatly improve minimally invasive surgery. It will also enhance the establishment of intellectual property for Australian medicine and produce important benefits to the healthcare sector. The proposed symbiotic integration of the systems will advance modelling technologies, and further create new capabilities for a wide range of science and engineerin ....High-Fidelity Modelling for Robotic-Assisted Minimally Invasive Needle Insertion. This project will develop robotic-assisted needle insertion and greatly improve minimally invasive surgery. It will also enhance the establishment of intellectual property for Australian medicine and produce important benefits to the healthcare sector. The proposed symbiotic integration of the systems will advance modelling technologies, and further create new capabilities for a wide range of science and engineering applications. The established methodologies and systems will also provide great potential benefits in many other areas, including microbiology, life sciences and bio/nano-technology. The project's outcomes will further consolidate Australia's position in innovative technologies and international research and development.Read moreRead less
Exploiting Database Technologies for the Visualization and Analysis of Measured and Simulated Plant Structures in Bioinformatics. The project will contribute to both bioinformatics and database research at both the national and international levels, although this project is specifically focusing on plant architecture but it has great potential other fields such as solving computationally difficult problems of branching in nature such as DNA and crystal related research. The results of this resea ....Exploiting Database Technologies for the Visualization and Analysis of Measured and Simulated Plant Structures in Bioinformatics. The project will contribute to both bioinformatics and database research at both the national and international levels, although this project is specifically focusing on plant architecture but it has great potential other fields such as solving computationally difficult problems of branching in nature such as DNA and crystal related research. The results of this research can be applied to all kinds of plants such as rice, cotton, rose etc.Read moreRead less
Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a com ....Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a competitive advantage for various sections of the Australian industry, including telecommunications, biotechnology and finance. The project will enable Australian researchers to continue to work at the forefront of this fast moving and exciting area of international research.Read moreRead less
Developing a Hemodynamic Model for Improving Clinical Treatment of Vascular Diseases. Stroke caused by vascular diseases is the second greatest single killer, which is taking away thousands of lives and costing billions every year in Australia. Improving the existing clinical treatments of these diseases is thus of utmost urgency. This project is targeted to developing a reliable Hemodynamic model through comprehensive experimental validation approach. It will not only foster a more in-depth res ....Developing a Hemodynamic Model for Improving Clinical Treatment of Vascular Diseases. Stroke caused by vascular diseases is the second greatest single killer, which is taking away thousands of lives and costing billions every year in Australia. Improving the existing clinical treatments of these diseases is thus of utmost urgency. This project is targeted to developing a reliable Hemodynamic model through comprehensive experimental validation approach. It will not only foster a more in-depth research of vascular diseases but also provide a virtual forecasting tool for physicians or surgeons to develop guidance on diagnosis and therapeutic planning of clinical treatment, which brings great socio-economic benefit to the health of the Australian community.Read moreRead less
Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the ....Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the fact that Australian institutions will be (in part) responsible for key theoretical results in this growing field will strengthen Australia's position worldwide as an international centre for computer science.Read moreRead less
Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of ....Assessment of the Seismic Hazard in South-East Queensland utilizing earthquake simulations. Assessment of seismic hazard in Australia is hampered by relatively few instrumental records of past earthquakes. Supercomputer simulations of long-term earthquake activity and strong ground motion, provide an alternative method for estimating the risk posed by earthquakes. The aim of this project is to construct a physical model for South-East Queensland incorporating the major faults and rock units of the region. In conjunction with earthquake simulation software of the Australian Computational Earth Systems Simulator, this model will be employed to analyse the spatial and temporal variability of earthquake activity and the ground motion resulting from these earthquakes.Read moreRead less
APEC Cooperation for Earthquake Simulation Visitors Program. This project aims to improve understanding of earthquakes through development of numerical simulation models for the earthquake generation process. Its centerpiece is a major international collaboration, achieved via a visitor exchange program between the headquarters of the APEC Cooperation for Earthquake Simulation in Australia and overseas centres of excellence. Earthquakes are one of the most costly and deadly natural disasters, a ....APEC Cooperation for Earthquake Simulation Visitors Program. This project aims to improve understanding of earthquakes through development of numerical simulation models for the earthquake generation process. Its centerpiece is a major international collaboration, achieved via a visitor exchange program between the headquarters of the APEC Cooperation for Earthquake Simulation in Australia and overseas centres of excellence. Earthquakes are one of the most costly and deadly natural disasters, and APEC member economies have a high earthquake risk. Recent analyses suggest earthquakes may dominate the loss potential in Australia. The complementary research programs offer an opportunity to achieve breakthrough advances in improved methods of earthquake forecasting and hazard quantification.Read moreRead less
Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results wi ....Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results will be applied to solve problems in finance, health management and marketing. In all these fields multiple observations are often taken per individual or time period and the models need to incorporate measures of dependence and uncertainty.Read moreRead less