Correction of the Effects of Gradient Field Nonlinearity in Magnetic Resonance Imaging - A Complete 3-Dimensional Approach. The outcomes of this research will have direct benefits to various areas of diagnostic and interventional medicine especially in neurological diseases such as Alzheimer's disease, stroke, multiple sclerosis or brain tumors. The techniques developed in this project will in general enable MRI to provide a higher quality service to the community.
Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of ....Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of this study will significantly reduce cost and time. The project will contribute to the National Strategy by helping older Australians; the major group of osteoarthritis sufferers, to retain their health, independence and productivity.Read moreRead less
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
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing ....Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing the social financial costs by diagnosing brain disorders in the initial stage of life and preventing further damage. This has the potential to result in a standard diagnostic equipment in neonatal intensive care units and medical research centres.Read moreRead less
Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classificatio ....Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classification systems were proposed based on visual observations. This project proposes developing a novel approach to automate the classification process using time-frequency (TF) signal processing techniques based on the multi-channel characteristics of the seizure; namely: A) TF signature B) origin, and C) propagation behaviour.Read moreRead less
Hybrid Imaging System for Breast Cancer Detection. Due to the ever increasing number of breast cancer mortalities in Australia, there is an urgent need for an efficient and reliable diagnostic imaging system. This research utilises a novel method to build an imaging system, which is accurate and reliable in the early detection of tumours. The work of this fellowship will improve quality of life of Australian women and put us at the international forefront of research in medical imaging, enhancin ....Hybrid Imaging System for Breast Cancer Detection. Due to the ever increasing number of breast cancer mortalities in Australia, there is an urgent need for an efficient and reliable diagnostic imaging system. This research utilises a novel method to build an imaging system, which is accurate and reliable in the early detection of tumours. The work of this fellowship will improve quality of life of Australian women and put us at the international forefront of research in medical imaging, enhancing our already significant international presence in the area. The project will potentially lead to valuable intellectual property for commercialisation opportunities besides strengthening key international collaborations.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
Read moreRead less
Biomedical Applications of Self-Mixing Sensors based on Vertical-Cavity Surface-Emitting Laser Arrays. The Vertical-Cavity Surface-Emitting Laser (VCSEL) is a new optical device of choice for high speed optical data networks. We propose that this communications technology can be used as a platform to develop a completely new family of sensors ideally suited to medical monitoring. Specifically, we will develop VCSEL based technology for measurement of heart activity and sensing of blood flow in ....Biomedical Applications of Self-Mixing Sensors based on Vertical-Cavity Surface-Emitting Laser Arrays. The Vertical-Cavity Surface-Emitting Laser (VCSEL) is a new optical device of choice for high speed optical data networks. We propose that this communications technology can be used as a platform to develop a completely new family of sensors ideally suited to medical monitoring. Specifically, we will develop VCSEL based technology for measurement of heart activity and sensing of blood flow in skin and tissues. This will provide novel sensors for heart monitoring and imaging, and management of skin disorders (burns and cancer).Read moreRead less
Tooth-mic Devices for Monitoring the Efficacy of Home-based Continuous Positive Airway Pressure (CPAP) Technology. Over 800,000 Australians suffer from Obstructive Sleep Apnea (OSA). OSA patients use twice the health resources compared to healthy people. They are 7 times more likely to cause traffic accidents; in NSW up to 43000 accidents/year are due to OSA. OSA is treatable & consequences such as strokes, diabetes & heart attacks are preventable. The standard OSA treatment is home-based Contin ....Tooth-mic Devices for Monitoring the Efficacy of Home-based Continuous Positive Airway Pressure (CPAP) Technology. Over 800,000 Australians suffer from Obstructive Sleep Apnea (OSA). OSA patients use twice the health resources compared to healthy people. They are 7 times more likely to cause traffic accidents; in NSW up to 43000 accidents/year are due to OSA. OSA is treatable & consequences such as strokes, diabetes & heart attacks are preventable. The standard OSA treatment is home-based Continuous Positive Airway Pressure Therapy. Unfortunately, no effective technique exists to measure the efficacy of the treatment. We propose enabling solutions to this problem via developing technology centered on breathing sound analysis. The project proposes joint work with a US-company facilitating access to advanced technology highly beneficial to Australia.Read moreRead less