Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that op ....Smart Information Use for PET-CT Quantitative Molecular Imaging. This project aims to use advanced computing algorithms to tackle
challenging problems associated with a new medical technology called
PET-CT which combines two imaging modalities in one device. While this technology is very new and has great potential in cancer and brain disorders, it also poses major challenges for information processing and transmission. We will address these challenges by developing advanced algorithms that optimally extract information from PET and CT using mathematical models that correct for the various sources of inaccuracy. Our research will put Australian biomedical researchers and healthcare professionals at the forefront of advanced medical imaging technology.Read moreRead less
Large scale knowledge and image based biomedical modelling and derivation of PET-CT disease maps and treatment response. The smart use of information to improve, promote and maintain good healthcare is a critical mission for our country. Cancer is a serious problem in Australian society and 1 in 4 individuals will be affected by it in their lifetime. Our research is focussed on two types of cancer - lung cancer and the lymphomas - and it will use IT in a novel way to extract important informatio ....Large scale knowledge and image based biomedical modelling and derivation of PET-CT disease maps and treatment response. The smart use of information to improve, promote and maintain good healthcare is a critical mission for our country. Cancer is a serious problem in Australian society and 1 in 4 individuals will be affected by it in their lifetime. Our research is focussed on two types of cancer - lung cancer and the lymphomas - and it will use IT in a novel way to extract important information from a very large biomedical data repository. We hope that it will improve personalised diagnosis and treatment in these cancers and provide new information on how some cancers spread and resist our usual treatments. We think our techniques will contribute to other research areas such as astronomy, agriculture, water/energy resources, and security.Read moreRead less
Information Technology Aided Diagnosis of Dementia with PET-CT Imaging. Dementia is a significant health problem and approximately 162,000 Australians currently suffer from this disease, with costs estimated at $6 billion annually in Australia and a profound effect on the lives of carers and family members. With the ageing of the Australian population, the patient number is expected to rise to 500,000 by 2040.This research will apply innovative IT approaches to develop computer assisted diagnosi ....Information Technology Aided Diagnosis of Dementia with PET-CT Imaging. Dementia is a significant health problem and approximately 162,000 Australians currently suffer from this disease, with costs estimated at $6 billion annually in Australia and a profound effect on the lives of carers and family members. With the ageing of the Australian population, the patient number is expected to rise to 500,000 by 2040.This research will apply innovative IT approaches to develop computer assisted diagnosis of early dementia, when treatment is possible, from combined functional and anatomical imaging modalities (PET-CT). This will not only add considerable value to Australia's medical imaging infrastructure and smart use of information, but will ultimately also deliver substantial benefits to our nation and community.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
A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual perfo ....A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual performance. Intended benefits of this knowledge include the development of artificial systems and improved training environments to facilitate and enhance human expert visual processing.Read moreRead less
Control of Protein Attachment and its Optical Detection. Protein array technologies have applications in the rapid diagnosis of disease. Biosensors can detect traces of biohazards. Before widespread implementation of these technologies can occur however, a rapid, sensitive and convenient readout method for the control and readout of attachment of proteins to antibodies is needed. I will use electric fields, combined with array imaging at surface plasmon resonance to achieve this aim. This protei ....Control of Protein Attachment and its Optical Detection. Protein array technologies have applications in the rapid diagnosis of disease. Biosensors can detect traces of biohazards. Before widespread implementation of these technologies can occur however, a rapid, sensitive and convenient readout method for the control and readout of attachment of proteins to antibodies is needed. I will use electric fields, combined with array imaging at surface plasmon resonance to achieve this aim. This protein diagnostic array technology will enable accurate and rapid diagnosis of disease, generating savings on health costs and improving public health. Manufacture in Australia will bring further economic benefits.Read moreRead less
Novel imaging technologies for continuous measurement of tracer kinetics in awake animals. The fates of biologically relevant molecules, such as proteins and antibodies, in the body are fundamentally important for understanding the mechanisms and treatment of disease. This project will enable for the first time continuous imaging of the location and time course of labelled molecules in conscious, freely moving animals.
Development of new methods to measure in vivo properties of human body tissues. This project will develop new methods of noninvasively measuring the viscoelastic properties of soft tissues in live humans, using a novel magnetic resonance elastography technique. These methods will be applied to study the operation of the human muscle-tendon system, differences in neck muscle properties with age and gender and to measure the properties of the human brain, kidney and liver in vivo. These techniques ....Development of new methods to measure in vivo properties of human body tissues. This project will develop new methods of noninvasively measuring the viscoelastic properties of soft tissues in live humans, using a novel magnetic resonance elastography technique. These methods will be applied to study the operation of the human muscle-tendon system, differences in neck muscle properties with age and gender and to measure the properties of the human brain, kidney and liver in vivo. These techniques may be useful in diagnosing soft tissue disease or injury which are currently difficult to detect using standard imaging techniques. It will also explain how the muscle-tendon unit moves during normal motion in live humans.Read moreRead less
Amplifying light emission with metal-fluorophore nanostructures for ultrasensitive biosensing. This proposal focuses on translating nanotechnology to ultrasensitive molecular monitoring for biomedicine. We will apply a new tool, amplified fluorophores to proteomics where they will provide an improved method for early detection and understanding of diseases through molecular fingerprints. The project will also generate an ultra-sensitive, rapid technology that can be used for personalized point ....Amplifying light emission with metal-fluorophore nanostructures for ultrasensitive biosensing. This proposal focuses on translating nanotechnology to ultrasensitive molecular monitoring for biomedicine. We will apply a new tool, amplified fluorophores to proteomics where they will provide an improved method for early detection and understanding of diseases through molecular fingerprints. The project will also generate an ultra-sensitive, rapid technology that can be used for personalized point-of-care diagnostics. The applications can include the detection of disease markers, pathogens or the determination of protein content in a clinical sample. These technologies will be applicable across a spectrum or of diseases all of which will benefit the broader community.Read moreRead less
Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger eq ....Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger equation, Dirac operators, and Maxwell equations. In addition to providing a theoretical foundation upon which one can build numerical algorithms, this project will also provide the missing link between inverse problems and unique continuation theory. The downstream impact of this research will lead to more efficient and accurate tomography methods which can be implemented in a range of imaging applications.Read moreRead less