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
Industrial Transformation Training Centres - Grant ID: IC180100024
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, internatio ....ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, international collaborations and a generation of industry-ready researchers critical for growing Australia’s industry. The advances in materials and savings in time for procedures will reduce costs.
Read moreRead less
X-Ray Activation of Photocatalytic Titania-Coated Biomedical Implants in Situ. The main causes of biomedical implant failure are loosening and infection, which may require revision surgery. The project has the potential to solve these widespread and expensive problems by formation of a coating of strongly (chemically) bonded and photocatalytically active titania on the titanium implant surface and short-term low-dose X-irradiation. This work has the potential to provide the biomedical industry w ....X-Ray Activation of Photocatalytic Titania-Coated Biomedical Implants in Situ. The main causes of biomedical implant failure are loosening and infection, which may require revision surgery. The project has the potential to solve these widespread and expensive problems by formation of a coating of strongly (chemically) bonded and photocatalytically active titania on the titanium implant surface and short-term low-dose X-irradiation. This work has the potential to provide the biomedical industry with a revolutionary development in both implant coating design and quality with self-disinfection capacity after implantation.Read moreRead less
High-resolution elastography – Using optical micro-imaging of tissue mechanics to identify disease. Optical elastography, the probing of tissue’s micro-mechanical properties using optical imaging, offers new tools in surgery and pathology to improve differentiation of tissues. This project lays the groundwork for optical elastography to become a new medical micro-imaging modality by removing impediments to progress in this rapidly emerging field. On the micro-scale, between the scales of cells a ....High-resolution elastography – Using optical micro-imaging of tissue mechanics to identify disease. Optical elastography, the probing of tissue’s micro-mechanical properties using optical imaging, offers new tools in surgery and pathology to improve differentiation of tissues. This project lays the groundwork for optical elastography to become a new medical micro-imaging modality by removing impediments to progress in this rapidly emerging field. On the micro-scale, between the scales of cells and organs. This project will elucidate the origins of tissue mechanical contrast and determine limits on its measurement. It will develop a suite of probes: noncontact, endoscopic and needle, to enable access to all tissues in the body. To progress toward a new modality and inform our research, the project will test our tools on breast cancer tissues and burn scars.Read moreRead less
Three dimensional (3D) optical coherence tomography in cancer. This project will establish for the first time how well 3D optical coherence tomography, a form of medical imaging, can image cancer. Based on this, a version built into a needle will be developed which will enable extension much deeper into tissues than previously possible to image cancer and to guide related surgical procedures.
Biomechanical model-based algorithms for computational radiology of the brain. The proposed research will develop computational framework, which will allow matching high quality pre-operative brain images with lower resolution images taken during neurosurgery. The success of this work will greatly improve effectiveness of brain tumour removal, and therefore improve clinical outcomes. The proposed work will provide enabling technology for other areas of computer aided medicine, such as virtual re ....Biomechanical model-based algorithms for computational radiology of the brain. The proposed research will develop computational framework, which will allow matching high quality pre-operative brain images with lower resolution images taken during neurosurgery. The success of this work will greatly improve effectiveness of brain tumour removal, and therefore improve clinical outcomes. The proposed work will provide enabling technology for other areas of computer aided medicine, such as virtual reality operation planning systems with realistic force and tactile feedback, control systems of neurosurgical robots with tissue deformation prediction module, etc.Read moreRead less
Towards Consistent Meshless Computational Framework for Soft Tissue Damage Modelling for Traumatic Injury Prevention and Surgery Simulation. Deaths and injuries due to car crashes cost our society $18 billion per annum. This project will provide enabling computer simulation technology for reducing this cost by improving car crash safety through more accurate evaluation of injury risk as well as by reducing the risk of adverse effects in surgical procedures through better surgical training and su ....Towards Consistent Meshless Computational Framework for Soft Tissue Damage Modelling for Traumatic Injury Prevention and Surgery Simulation. Deaths and injuries due to car crashes cost our society $18 billion per annum. This project will provide enabling computer simulation technology for reducing this cost by improving car crash safety through more accurate evaluation of injury risk as well as by reducing the risk of adverse effects in surgical procedures through better surgical training and surgery planning. We will deliver this technology by creating a computational framework for modelling of soft tissue damage due to traumatic rupture and surgical dissection. This framework will enable building accurate computer models of the human body injury responses for safe car design as well as models for assisting surgeons by predicting forces and deformations in tissue dissection.Read moreRead less
Biomechanics of Needle Insertion. Needle insertion is one of the most common neurosurgical procedures. However, the biomechanics of this process is poorly understood. The unknown factors include brain tissue deformation under load imposed by the needle and needle deflection when penetrating brain tissue. We will develop computational models of needle insertion. They will include non-linear material properties of the brain tissue, large deformations, and needle-tissue contact model including fric ....Biomechanics of Needle Insertion. Needle insertion is one of the most common neurosurgical procedures. However, the biomechanics of this process is poorly understood. The unknown factors include brain tissue deformation under load imposed by the needle and needle deflection when penetrating brain tissue. We will develop computational models of needle insertion. They will include non-linear material properties of the brain tissue, large deformations, and needle-tissue contact model including friction. The Japanese group will develop testing methods to validate mathematical models. Experimental set-up includes bi-axial x-ray to measure deformation within the tissue and needle deflection, and a sensor measuring reaction force on needle tip and friction force on needle sides.Read moreRead less
Real Time Computer Simulation of Human Soft Organ Deformation for Computer Assisted Surgery. The proposed research will develop computational framework, which will allow calculation of soft organ (brain, liver, kidney, prostate, etc.) deformation during surgical operations in real time. Fully non-linear material models and geometrically non-linear finite element formulation will be used. The fundamental technology developed within this project: physically (or mechanically) realistic modelling an ....Real Time Computer Simulation of Human Soft Organ Deformation for Computer Assisted Surgery. The proposed research will develop computational framework, which will allow calculation of soft organ (brain, liver, kidney, prostate, etc.) deformation during surgical operations in real time. Fully non-linear material models and geometrically non-linear finite element formulation will be used. The fundamental technology developed within this project: physically (or mechanically) realistic modelling and real time computer simulation of soft organ deformation, will have applications in many areas of computer assisted surgery, such as intra-operative, real time non-rigid registration and virtual reality surgeon training and operation planning systems with force and tactile feedback.Read moreRead less
Neuroimage Registration Using a Graphical Processing Unit. The proposed research will develop a computational framework, which will allow matching high quality pre-operative brain images with lower resolution images taken during neurosurgery. The key idea to be pursued is conducting computations on a Graphical Processing Unit (GPU). The success of this work will greatly improve effectiveness of brain tumour removal, and therefore improve clinical outcomes. The proposed work will provide enabling ....Neuroimage Registration Using a Graphical Processing Unit. The proposed research will develop a computational framework, which will allow matching high quality pre-operative brain images with lower resolution images taken during neurosurgery. The key idea to be pursued is conducting computations on a Graphical Processing Unit (GPU). The success of this work will greatly improve effectiveness of brain tumour removal, and therefore improve clinical outcomes. The proposed work will provide enabling technology for other areas of computer aided medicine, such as virtual reality operation planning systems with realistic force and tactile feedback, control systems of neurosurgical robots with tissue deformation prediction module, etc.Read moreRead less