Innovative visualization of next-generation biomedical images. This project addresses the difficult problems associated with managing the vast amounts of data that are currently available with advanced imaging devices and displaying these data so that the maximum amount of information can be extracted. Developing visualization capabilities for such data is not a trivial undertaking but the outcome of this research will produce enabling visualization technologies that will significantly impact th ....Innovative visualization of next-generation biomedical images. This project addresses the difficult problems associated with managing the vast amounts of data that are currently available with advanced imaging devices and displaying these data so that the maximum amount of information can be extracted. Developing visualization capabilities for such data is not a trivial undertaking but the outcome of this research will produce enabling visualization technologies that will significantly impact the life science, biomedical research and the way clinicians view and use these data for patient management. These technologies will have broad applications across biology and molecular science and will enhance Australia's leading position in the development of frontier technologies.Read moreRead less
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
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
Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, includ ....Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, including relational learning, with human-assisted knowledge acquisition methods. The expected outcomes will be new techniques for image understanding, particularly for our test domain, namely, High Resolution Computed Tomography scans of the lung.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.
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Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases f ....Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases for compensation and treatment and better followup, leading to earlier treatment and better quality of life for patients suffering from lung diseases. The project will also save costs due to automated assessment as well as the potential for fewer patient scans.Read moreRead less
Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision supp ....Cognitive Features of Decision Support System Interfaces. The complex and time-constrained nature of the contemporary workplace is such that there is an increasing dependence on technology to assist operators in formulating accurate and timely decisions. This project is designed to ensure that the process through which this information is presented to operators is as efficient and effective as possible under the circumstances. Using an innovative approach to the development of such decision support systems, the outcomes of this project will direct the development of this type of technology in the future and, ultimately, lead to more effective and more efficient decision-making under uncertainty.Read moreRead less