Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting. This project intends to create a novel integrated framework for biomedical systems that can accurately target a needle. Accurate surgical targeting means less trauma and better patient outcomes. Needles are used in over half of all surgical procedures, but up to 38 per cent of these are affected by targeting errors. Achieving sub-millimetre accuracy is extremely difficult because inserting a needle displaces the tissue ....Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting. This project intends to create a novel integrated framework for biomedical systems that can accurately target a needle. Accurate surgical targeting means less trauma and better patient outcomes. Needles are used in over half of all surgical procedures, but up to 38 per cent of these are affected by targeting errors. Achieving sub-millimetre accuracy is extremely difficult because inserting a needle displaces the tissue and moves the target. How, then, can ultra-fine targeting be achieved? This project plans to integrate non-linear biomechanical models that predict tissue motion with accurate and principled motion control. It seeks to create new methods for surgical robots that will predict target motion and guide a needle to accurately intersect the target.Read moreRead less
Neuroimage as biomechanical model: new real-time computational biomechanics of the brain. This project is to extend to medicine the success computational mechanics has enjoyed in traditional engineering. The project will create enabling modelling and computing technologies for Computer-Integrated Surgery Systems that could help to improve clinical outcomes and the efficiency of health care delivery.
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
Computational biomechanics for image-guided neurosurgery. Our results will lead to significant improvements to the efficacy and efficiency of image-guided neurosurgery for brain tumours. Visualisation of the intra-operative configuration of the patient's brain, obtained by sparse intra-operative MRI, merged with high resolution pre-operative imaging data will become possible. In current practice, the neurosurgeon must mentally fuse the information from pre-operative fMRI and DTI by projecting it ....Computational biomechanics for image-guided neurosurgery. Our results will lead to significant improvements to the efficacy and efficiency of image-guided neurosurgery for brain tumours. Visualisation of the intra-operative configuration of the patient's brain, obtained by sparse intra-operative MRI, merged with high resolution pre-operative imaging data will become possible. In current practice, the neurosurgeon must mentally fuse the information from pre-operative fMRI and DTI by projecting it through the 3D spatial and temporal changes the patient's brain has undergone. We propose to replace this mental fusion with computations based on the biomechanical model that will allow visualisation of the transformed pre-operative data matched to the current shape of the patient's brain.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.
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