Development Of A Non-invasive Magnetic Resonance Based Cartilage Damage Assessment Technique
Funder
National Health and Medical Research Council
Funding Amount
$556,131.00
Summary
This project will develop automated methods for the extraction of 3D maps of cartilage, bone and other anatomy from high field Magnetic Resonance Images of joints in the body.
MR Hip Intervention And Planning System To Enhance Clinical And Surgical Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$668,069.00
Summary
Degenerative hip disorders and osteoarthritis are a major cause of chronic pain and disability. This project will develop a software tool that allows clinicians to assess, monitor and plan patient treatment using magnetic resonance imaging. It will be the first tool that models joint motion using assessments of bone, cartilage and labral tissue. This will help guide treatment selection and improve outcomes from hip surgeries performed on over 20,000 Australians each year.
Improving Patient Safety In Radiation Therapy With The Watchdog Real-time Treatment Delivery Verification System
Funder
National Health and Medical Research Council
Funding Amount
$593,742.00
Summary
Radiation therapy is a highly effective cancer treatment with extremely high doses delivered using very complex treatment machines. Unfortunately errors have occurred resulting in cases of patient death and mistreatment. We have developed a novel method to assess the treatment delivery in real-time to prevent errors. The method uses imaging devices that are already present on the treatment machine meaning that this method could have a major impact on patient safety in modern radiation therapy.
Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in ....Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in this project will expedite early clinical diagnosis and treatment of neural diseases for patients, hence saving life and reducing health cost both at the personal and the national level. Read moreRead less
Structural And Functional Networks In The Human Brain: Disturbance In Disease And Influence Of Genes.
Funder
National Health and Medical Research Council
Funding Amount
$568,892.00
Summary
Professor Graeme Jackson is a Neurologist at the Austin Hospital whose research is dedicated to the problem of understanding how epilepsy occurs and devising strategies for successful treatment. He is Deputy Director and head of the epilepsy division of the Florey Neuroscience Institutes which has research dedicated advanced MR imaging systems and physics support largely dedicated to solving these problems in epilepsy. He has 170 plus papers, 10 cited over 200 times. Career citations exceed 6000 ....Professor Graeme Jackson is a Neurologist at the Austin Hospital whose research is dedicated to the problem of understanding how epilepsy occurs and devising strategies for successful treatment. He is Deputy Director and head of the epilepsy division of the Florey Neuroscience Institutes which has research dedicated advanced MR imaging systems and physics support largely dedicated to solving these problems in epilepsy. He has 170 plus papers, 10 cited over 200 times. Career citations exceed 6000.Read moreRead less
My aim is to use advanced Neuroimaging to further our understanding of the pathophysiology of brain disorders, in particular Epilepsy, but also Sleep disorders, Schizophrenia, the Dementias. In the case of my main research interest (Epilepsy) it is to red
Towards Predicting Brain Deformations For Image-guided Neurosurgery
Funder
National Health and Medical Research Council
Funding Amount
$304,281.00
Summary
We will significantly improve the efficiency of image-guided neurosurgery for brain tumours by creating a novel system to improve intra-operative visualisation and navigation utilising realistic prediction of brain deformations based on a biomechanical model. The system will create an augmented reality visualisation of the intra-operative configuration of the patient's brain merged with high resolution pre-operative imaging data in order to better localise the tumour and critical healthy tissues ....We will significantly improve the efficiency of image-guided neurosurgery for brain tumours by creating a novel system to improve intra-operative visualisation and navigation utilising realistic prediction of brain deformations based on a biomechanical model. The system will create an augmented reality visualisation of the intra-operative configuration of the patient's brain merged with high resolution pre-operative imaging data in order to better localise the tumour and critical healthy tissues.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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Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and a ....Techniques to use stereo vision for improving person identification systems based on face recognition. The broad aim of this project is to use three-dimensional information available by processing images from stereo cameras in order to bridge the gap between constrained face recognition systems and viable systems that work well under varying illumination, changes in pose and variations in spectacles, facial hair and attire. Such a system will be useful in passenger verification at airports and as a component of personal identification systems to counter terrorism. The key to successful face location and recognition is an effective combination of all data - range, luminance and colour - and techniques for this will be the discovered outcomes.Read moreRead less