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
An Innovative Multimedia Framework for Multidimensional PET-CT Image Navigation and Communication. The recent development of a combined positron emission tomography and computerized tomography (PET-CT) device ushers in a completely new era in molecular imaging that will revolutionize the approach to imaging in the clinical environment. In this project, we address a number of the critical challenges associated with the introduction of PET-CT, and provide a range of innovative multimedia technolo ....An Innovative Multimedia Framework for Multidimensional PET-CT Image Navigation and Communication. The recent development of a combined positron emission tomography and computerized tomography (PET-CT) device ushers in a completely new era in molecular imaging that will revolutionize the approach to imaging in the clinical environment. In this project, we address a number of the critical challenges associated with the introduction of PET-CT, and provide a range of innovative multimedia technologies to visualize, manipulate and deliver these multi-dimensional data. Our research will greatly enhance the clinical and research benefits of PET-CT and facilitate new discoveries which will have a significant scientific and social impact in Australia and the world at large.Read moreRead less
Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since ....Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.Read moreRead less
Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-mo ....Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-modality image analysis to extract crucial additional information for accurate diagnosis and improved treatment, which will not only lead to a major scientific advancement, but also deliver significant social benefits.Read moreRead less
A new generation of multi-modality biomedical image visualisations. This research will overcome the urgent and significant burden in the routine clinical visualisation of multiple-modality biomedical image data, which are complex and exquisitely detailed from the new generation of high-resolution medical imaging scanners. Together with our industry partner RPA Hospital, we will produce 3D visualisation methodologies that will simplify and revolutionise the way biomedical data are visualised, ana ....A new generation of multi-modality biomedical image visualisations. This research will overcome the urgent and significant burden in the routine clinical visualisation of multiple-modality biomedical image data, which are complex and exquisitely detailed from the new generation of high-resolution medical imaging scanners. Together with our industry partner RPA Hospital, we will produce 3D visualisation methodologies that will simplify and revolutionise the way biomedical data are visualised, analysed and interpreted by imaging specialists and disseminated to doctors and patients. Given the pivotal role that imaging plays in modern healthcare, this will improve diagnosis and assessment, and enhance Australia's leading position in the development of frontier technologies.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
A novel Internet-based clinical trial service. The best way to test whether a clinical treatment intervention is effective is a randomised controlled trial (rct). Rcts are expensive, both in terms of resources and time. The internet may provide a method of conducting rcts which is efficent and provides access to those in remote communities. The purpose of this project is to assess the feasibility of developing a structure for conducting rcts using the internet.
Modelling in the Large. Business modelling supports a variety of approaches, which are currently of significant interest for Australian organisations. This includes business process management, risk management or Enterprise Architecture design. The trend to centralised and integrated business modelling leads to projects with a high number of models, modellers, users, and modelling purposes. This phenomenon is called modelling in the large. The proposed research project explores the major issues ....Modelling in the Large. Business modelling supports a variety of approaches, which are currently of significant interest for Australian organisations. This includes business process management, risk management or Enterprise Architecture design. The trend to centralised and integrated business modelling leads to projects with a high number of models, modellers, users, and modelling purposes. This phenomenon is called modelling in the large. The proposed research project explores the major issues within these projects and develops improved modelling techniques and project management approaches for large modelling initiatives. The outcomes will streamline the design, integration, maintenance and communication of models with a focus on Enterprise Systems.Read moreRead less
Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expec ....Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expected outcomes are evaluations of ARIS and UML. Thus, this project contributes to the development of two of the most popular modelling techniques. Based on the theory used and the results of an international empirical study, suggestions for the further development of these techniques will be derived.Read moreRead less