Improving Methodolgies For The Early Detection Of Disease
Funder
National Health and Medical Research Council
Funding Amount
$317,860.00
Summary
Early detection of tumours and diseases is vital for an effective and successful treatment. Current early detection methods are invasive and use toxic or radioactive chemicals. This project focuses on understanding how non-toxic, non-invasive ‘smart’ polymeric devices would work for early disease detection. It will provide next generation early detection devices which will reduce the cost of treatment, and increase the effectiveness of therapy.
The Australian MRI-Linac Program: Transforming The Science And Clinical Practice Of Cancer Radiotherapy
Funder
National Health and Medical Research Council
Funding Amount
$7,001,475.00
Summary
Radiotherapy is indicated for 48% of cancer patients. The Australian MRI-Linac Program will change the science and clinical practice of radiotherapy by explicitly targeting the dynamic anatomy and physiology of cancer, increasing cancer control and decreasing treatment side effects. Successful completion of this program will have a direct impact on the treatment and lives of Australian cancer patients in the foreseeable future.
Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human bo ....Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human body. Thus, the new imaging methods can probe deeper biological functionality while examining tissue structure. The potential benefits include: expanding the scope and capabilities of current MRI, facilitating a wide range of imaging-based research and applications, and accelerating knowledge expansion in life science.Read moreRead less
Cortical Networks That Integrate Auditory Input And Speech Motor Output In Human Stutterers
Funder
National Health and Medical Research Council
Funding Amount
$292,639.00
Summary
Stuttering is a chronic communication disorder that arises from problems in the brain processes that control speech. This research aims to use magnetoencephalography, a new and extremely fast method of brain imaging, to study the parts of the human brain that underlie speech production. By studying the brains of both child and adult stutterers the causes of stuttering will become more apparent. Ultimately, this research will lead to more effective treatments for stuttering.
Mid-Career Industry Fellowships - Grant ID: IM230100002
Funder
Australian Research Council
Funding Amount
$1,056,049.00
Summary
Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and ....Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.Read moreRead less
Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and stati ....Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and statistical methods that fully exploit the richness and complexity of the data generated by TB-PET, enabling 3D quantitative assays of molecular processes throughout the entire human body with unparalleled sensitivity. The technology we create will open up new capability for the study of complex physiological systems.Read moreRead less
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.