A data science framework for modelling disease patterns from medical images. A data science framework for modelling disease patterns from medical images. This project aims to extract models of disease patterns from medical imaging data, using deep learning, smart image processing, machine learning, and statistical modelling to quantify and model patterns conventional methods cannot detect. These disease models are expected to improve understanding of particular diseases and enable precision medi ....A data science framework for modelling disease patterns from medical images. A data science framework for modelling disease patterns from medical images. This project aims to extract models of disease patterns from medical imaging data, using deep learning, smart image processing, machine learning, and statistical modelling to quantify and model patterns conventional methods cannot detect. These disease models are expected to improve understanding of particular diseases and enable precision medicine, which recognises that there are important differences between individuals with a particular disease, and that when patients are separated into sub-populations with similar disease patterns, treatment can be tailored to these sub-populations.Read moreRead less
Automated pathogen detection using time-gated luminescence microscopy. A rapid and general means of in-situ pathogen identification would benefit the community by ensuring that appropriate treatments can be applied in the early stages of a disease. Patient prognosis is thereby improved and opportunities for multi-drug resistant organisms to arise are limited. Time-gated luminescence microscopy (TgM) exploits persistent luminescence to overcome autofluorescence, a serious problem in pathogen dete ....Automated pathogen detection using time-gated luminescence microscopy. A rapid and general means of in-situ pathogen identification would benefit the community by ensuring that appropriate treatments can be applied in the early stages of a disease. Patient prognosis is thereby improved and opportunities for multi-drug resistant organisms to arise are limited. Time-gated luminescence microscopy (TgM) exploits persistent luminescence to overcome autofluorescence, a serious problem in pathogen detection. Drug-resistant 'Golden Staph' (MRSA) will be used as the model organism to evaluate TgM efficacy. Ultimately however, TgM will be applied for the detection of tuberculosis, a highly contagious disease affecting the respiratory system of more than one-third of the world's population.Read moreRead less
System to synapse. Biological tissue is studied at the cellular and organ level with ever increasing clarity and sensitivity, but there are limitations in understanding how microscopic changes are manifested in the organ and vice versa. This project will develop new methods to bridge this gap and allow next generation correlative imaging.
Monitoring, Calibration and Control of a Micro Assembly Process with Machine Vision Systems. A machine vision system will be developed and applied to monitor, calibrate, and control a novel surgical product assembly process of microscale. The machine vision system will benchmark the volumetric information of the needles, calibrate the position of the components, and control the assembly procedures. The successful implementation of the system will assist the production of finer surgical product ....Monitoring, Calibration and Control of a Micro Assembly Process with Machine Vision Systems. A machine vision system will be developed and applied to monitor, calibrate, and control a novel surgical product assembly process of microscale. The machine vision system will benchmark the volumetric information of the needles, calibrate the position of the components, and control the assembly procedures. The successful implementation of the system will assist the production of finer surgical products.Read moreRead less
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.
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High quality benthic and demersal surveys from small form factor underwater robots. This project will develop improved surveying systems for environmental consultancies. By enhancing the imaging and mapping capabilities of small underwater robots and extending automated interpretation tools to work with their data, this project will reduce operating costs, and increase the quality and quantity of scientifically useful data that they generate.
Novel Transmission Scanning and Computational Strategies for Quantitative microPET Imaging. Advances in detector technologies have led to the development and commercialisation of small animal imaging systems such as microPET which provide high resolution images of radioactive compounds in live animals, but the images can only be interpreted qualitatively. Our aim is to develop quantitative technologies for these new imaging systems. Major outcomes will include novel methods of measuring and corr ....Novel Transmission Scanning and Computational Strategies for Quantitative microPET Imaging. Advances in detector technologies have led to the development and commercialisation of small animal imaging systems such as microPET which provide high resolution images of radioactive compounds in live animals, but the images can only be interpreted qualitatively. Our aim is to develop quantitative technologies for these new imaging systems. Major outcomes will include novel methods of measuring and correcting for signal loss due to photon interactions in the body and integrated image reconstruction algorithms. This will lead to a new generation of quantitative imaging devices; the new technologies will be directly translatable to clinical imaging systems and will broaden the range of microPET applications in the life sciences.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of profi ....Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of proficiency testing and continuing education vital for a vibrant, well regulated discipline. In addition, the project will contribute to our knowledge of the pathology assessed in the screening and diagnosis of cancers such as cervical, lung and bladder cancers.Read moreRead less
A hardware accellerated platform for high-fidelity, high speed simulation of infrared scenes. Missiles present a major military and terrorist threat to aircraft and ships. A possible method to detect them is an infrared imaging system which is sensitive to a missile's spectrally unique rocket propulsion exhaust. It is both dangerous and expensive to conduct field trials; so simulation is used extensively. This project aims to use high performance computing to accelerate the slowest parts of the ....A hardware accellerated platform for high-fidelity, high speed simulation of infrared scenes. Missiles present a major military and terrorist threat to aircraft and ships. A possible method to detect them is an infrared imaging system which is sensitive to a missile's spectrally unique rocket propulsion exhaust. It is both dangerous and expensive to conduct field trials; so simulation is used extensively. This project aims to use high performance computing to accelerate the slowest parts of the industrial partner's existing simulations: the generation of simulated infrared images.
This project will improve the competitiveness of the manufacturer of infrared threat and warning systems and provide research training in an area of high performance computing.
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