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.
Harnessing Imaging And IT Strategies To Expedite Targeted Treatment And Improve Outcomes In Cerebrovascular Diseases
Funder
National Health and Medical Research Council
Funding Amount
$2,914,215.00
Summary
This project will expand on my 25+ years of research in combining neuroimaging methods such as CT and MRI with nascent software tools to better target and coordinate treatment and achieve improved outcomes in cerebrovascular diseases such as stroke. We will develop & improve new CT and MRI methods and leverage latest advances in computer science, such as deep learning and mobile phone app technology, to achieve faster and more accurate identification of patients who can benefit from treatment.
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
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less