Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament ....Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament tears in sporting injuries and other traumas.
The software developed will be provided on the project’s partner (Siemens) platform and will therefore be available worldwide and have a consequently large impact on the field.
Read moreRead less
Characterisation and improvement of radiation beams used for radiotherapy of small lesions. This project aims to characterise the radiation dose from a medical linear accelerator after the beam has been shaped by a mini-multileaf collimator. The characterisation will be achieved through a combination of computer simulations and experimental investigation of the beam using the technique of three-dimensional gel dosimetry. When the dosage characteristics are known, techniques will be developed to ....Characterisation and improvement of radiation beams used for radiotherapy of small lesions. This project aims to characterise the radiation dose from a medical linear accelerator after the beam has been shaped by a mini-multileaf collimator. The characterisation will be achieved through a combination of computer simulations and experimental investigation of the beam using the technique of three-dimensional gel dosimetry. When the dosage characteristics are known, techniques will be developed to improve radiotherapy treatments in patients with small lesions with sizes of up to a few centimetres. This will lead to an improved outcome for some cancer patients.Read moreRead less
Automated 3-Dimensional Biomedical Registration for Whole-body Images from Combined PET/CT Scanners. This project will aid rapid assimilation of very large medical imaging datasets from different imaging devices, and will have clinical applications in diagnosis and treatment and improve patient care. The research, when extended to protein registration, will facilitate analysis of DNA and advance research in bioinformatics and biotechnology. The research could also be used for target recognition, ....Automated 3-Dimensional Biomedical Registration for Whole-body Images from Combined PET/CT Scanners. This project will aid rapid assimilation of very large medical imaging datasets from different imaging devices, and will have clinical applications in diagnosis and treatment and improve patient care. The research, when extended to protein registration, will facilitate analysis of DNA and advance research in bioinformatics and biotechnology. The research could also be used for target recognition, mosaic construction, content-based retrieval, in remote sensing and multimedia. Benefits to Australia include the provision of a readily adaptable image registration program for patient care (e.g., early detection of cancers, dementia), cutting-edge research, high-quality training for students, and encouraging international research collaboration.Read moreRead less
Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by co ....Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by collecting incremental face exemplars. The result of the research will be an algorithm that can improve its performance on-line adapting in a stable learning process each identity model to the correct facial examples.
The research has significant practical implication in visual surveillance increasing the robustness of identification of person identity, state and intent.
Read moreRead less
New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and manageme ....New methods to improve regional isotope therapy of liver tumours in cancer patients. The most common cause of death in cancer patients is secondary tumours in vital organs. Successful treatment of liver tumours with regional isotope therapy now offers improved survival rates. This project will research novel radiolabelled nanoparticles and advanced computer imaging algorithms to improve regional isotope therapy of liver tumours. It will provide better methods of objective assessment and management that can reduce risk and improve patient survival.Read moreRead less
Zero Defect Manufacturing of Complex Assemblies. The aim of this research project is to develop the tools required to design and implement zero defect manufacturing systems. It is intended that generic guidelines will be developed for achieving zero defect manufacturing of complex assemblies in a cost effective manner. Methodologies and techniques derived from these guidelines will be tested and validated on an existing door trim assembly production line. This project with its emphasis on utilis ....Zero Defect Manufacturing of Complex Assemblies. The aim of this research project is to develop the tools required to design and implement zero defect manufacturing systems. It is intended that generic guidelines will be developed for achieving zero defect manufacturing of complex assemblies in a cost effective manner. Methodologies and techniques derived from these guidelines will be tested and validated on an existing door trim assembly production line. This project with its emphasis on utilising manufacturing systems involving a mix of human and robot based operations and in process inspection techniques to achieve defect free manufacturing is particularly relevant to medium size component suppliers.Read moreRead less
Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in ....Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in an industrial environment. The main outcome of the research will be a prototype on-line shape measurement system to control the quality of car windscreens.Read moreRead less
Methodologies for automatic visual identification in heat detection aids. New techniques will be designed and developed to automate the existing manual heat detection of cattle, under general imaging conditions. The proposed intelligent system will consist of six stages: 1- image acquisition, 2- image preprocessing, 3- presence detection, 4- illumination compensation, 5- HD detection, and 6- heat detection. The proposed system will handle various image variations, and will be fast and cost-effec ....Methodologies for automatic visual identification in heat detection aids. New techniques will be designed and developed to automate the existing manual heat detection of cattle, under general imaging conditions. The proposed intelligent system will consist of six stages: 1- image acquisition, 2- image preprocessing, 3- presence detection, 4- illumination compensation, 5- HD detection, and 6- heat detection. The proposed system will handle various image variations, and will be fast and cost-effective. The developed system will improve the productivity of Australian cattle industry.Read moreRead less
Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in t ....Automated Vector Extraction from Airborne Laser Scan Data. This project considers the problem of automatically extracting and vectorising the outlines of objects from Airborne Laser Scanning (ALS) data. The industry partner, AAM GeoScan, is a leading user of ALS systems in Australia, and has a need to develop automated solutions to this problem. ALS data is typically a dense cloud of 3D point data which represents the local terrain, as well as any trees, buildings or vehicles which may be in the field of view. Spatial data is a very important resource, widely used in many types of urban and rural planning operations. Planning software packages require vectorised descriptions of building outlines and other spatial data, however this is not presently available from raw ALS data. The project will investigate this problem and develop new and effective means for producing it automatically from raw ALS data. Expected outcomes include a successful research masters studentship, the development of novel solutions to the problem which are directly applicable to the industry partner's core business, peer reviewed publications, and an strengthened link between the universities and the industry partner.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less