Hybrid radiofrequency/optical catheter for effective atrial fibrillation ablation. This research project aims to advance engineering knowledge by applying an innovative, fibre-optics-based discrete optical coherence tomography to technology used for atrial fibrillation catheter ablation. RadioFrequency catheter-based ablation is far superior to cardiac drug therapy for atrial fibrillation patients. RadioFrequency catheters are not equipped with real-time lesion formation monitoring means, which ....Hybrid radiofrequency/optical catheter for effective atrial fibrillation ablation. This research project aims to advance engineering knowledge by applying an innovative, fibre-optics-based discrete optical coherence tomography to technology used for atrial fibrillation catheter ablation. RadioFrequency catheter-based ablation is far superior to cardiac drug therapy for atrial fibrillation patients. RadioFrequency catheters are not equipped with real-time lesion formation monitoring means, which enable the assessment of continuity-transmurality and prevent extra-cardiac complications, such as steam pops. Optical Coherece Tomography enables non-invasive, microscopic lesion formation assessment in real time during atrial fibrillation ablation procedures. The expected outcomes of this project are to develop a new hybrid fibre-optic/RadioFrequency catheter system and user-friendly driving software that will enable cardiac electrophysiologists to perform three key tasks not previously available.Read moreRead less
Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology a ....Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology and an advanced design tool for scientists and engineers to create novel nanophotonic structures to improve capabilities in devices such as waveguides, sensors, optical computer chips, superlenses and so on.Read moreRead less
Future neural electrodes: probing the electrical activity of nerves using 3D graphene networks. This research aims to develop a totally new type of neural electrode that will for the first time, allow reliable and long-term stimulation and recording. The approach incorporates graphene based biomaterials with tunable electrical and biological properties within supportive three-dimensional cellular microenvironments, greatly enhancing the electrical interactions between cells and the electrode. Th ....Future neural electrodes: probing the electrical activity of nerves using 3D graphene networks. This research aims to develop a totally new type of neural electrode that will for the first time, allow reliable and long-term stimulation and recording. The approach incorporates graphene based biomaterials with tunable electrical and biological properties within supportive three-dimensional cellular microenvironments, greatly enhancing the electrical interactions between cells and the electrode. The electrical properties of nerve cells will be probed using our three-dimensional graphene network, providing insight into the the brain-machine interface. This project is important as it directly addresses the inherent limitations of current electrode designs.Read moreRead less
Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the ....Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Read moreRead less
Advancing hybrid imaging with magnetic resonance imaging and positron emission tomography (MRI-PET). This project aims to increase the utility, accessibility, cost-effectiveness and accuracy of magnetic resonance imaging and positron emission tomography (MRI-PET) hybrid imaging technology for brain tumour imaging. This project will develop new contrast agents, better ways of measuring their uptake including a new high sensitivity MRI-PET head coil and methods for predicting tumour progression us ....Advancing hybrid imaging with magnetic resonance imaging and positron emission tomography (MRI-PET). This project aims to increase the utility, accessibility, cost-effectiveness and accuracy of magnetic resonance imaging and positron emission tomography (MRI-PET) hybrid imaging technology for brain tumour imaging. This project will develop new contrast agents, better ways of measuring their uptake including a new high sensitivity MRI-PET head coil and methods for predicting tumour progression using imaging information.Read moreRead less
Bioinspired Flexible Haptic Memory Materials for Artificial Sensory Nerves. This project aims to develop next generation haptic memory materials for the applications of artificial sensory nerves, which can precisely detect, process and respond to mechanical stimuli. The project expects to achieve this aim by mimicking the functions of biological haptic memory system and integrating highly sensitive tactile sensors and synaptic devices into artificial sensory nerves. The anticipated outcomes wil ....Bioinspired Flexible Haptic Memory Materials for Artificial Sensory Nerves. This project aims to develop next generation haptic memory materials for the applications of artificial sensory nerves, which can precisely detect, process and respond to mechanical stimuli. The project expects to achieve this aim by mimicking the functions of biological haptic memory system and integrating highly sensitive tactile sensors and synaptic devices into artificial sensory nerves. The anticipated outcomes will be new electronic materials for a wide range of end uses in next-generation flexible sensor technologies including healthcare monitoring devices, intelligent soft robotic systems and neural prosthetics.Read moreRead less
Improved effectiveness of cochlear implants through new simultaneous stimulation techniques. Cochlear implants have brought the gift of hearing to 250,000 people worldwide and are an excellent example of Australian innovation. This project will examine an improved "high fidelity" stimulation strategy with the objective of defining a safe stimulus range for clinical use and providing a commercial advantage for Cochlear Ltd.
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100022
Funder
Australian Research Council
Funding Amount
$4,420,408.00
Summary
ARC Training Centre for Innovative BioEngineering. The ARC Training Centre for Musculoskeletal Biomedical Technologies will provide the next-generation of skilled graduates to overcome industry-focused challenges in musculoskeletal regeneration. The Centre expects to engineer a set of integrated technologies to personalise implants for the unique biological, physical and lifestyle characteristics of the recipient. Expected outcomes of the Centre include embedded bioelectronic sensors to assess a ....ARC Training Centre for Innovative BioEngineering. The ARC Training Centre for Musculoskeletal Biomedical Technologies will provide the next-generation of skilled graduates to overcome industry-focused challenges in musculoskeletal regeneration. The Centre expects to engineer a set of integrated technologies to personalise implants for the unique biological, physical and lifestyle characteristics of the recipient. Expected outcomes of the Centre include embedded bioelectronic sensors to assess and optimise the healing process. In addition, the Centre will produce data for use in deriving the next-generation of implants, giving rise to improved health outcomes, economic benefits, and a skilled workforce able to advance and perpetuate this important field.Read moreRead less
Model-based estimation methods for improved classification of electroencephalographic data: application to monitoring depth of anaesthesia. This project will use advanced computing methods applied to electrical brain wave recordings to track how the brain changes as a person undergoes general anaesthesia during surgery. This will lead to better anaesthesia monitoring devices and reduce the chances of people experiencing pain during surgery or IQ deficits after the anaesthesia.