Special Research Initiatives - Grant ID: SR0354604
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; ....ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; surveillance and security; materials science and metallurgy; environmental monitoring; and consumer imaging. In this way, the network will provide an environment for creative inter-disciplinary research to the socio-economic benefit of Australia.Read moreRead less
Special Research Initiatives - Grant ID: SR0567196
Funder
Australian Research Council
Funding Amount
$55,000.00
Summary
Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in c ....Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in conjunction with interactive visualisation with haptic feedback. Grid computing experience and haptic device expertise will be achieved via Swedish collaborators. The successful outcome of this project will be software for the production of 3D colour-coded breast images in which suspicious regions are highlighted and can be physically interrogated using the haptic device.Read moreRead less
Special Research Initiatives - Grant ID: SR0567373
Funder
Australian Research Council
Funding Amount
$99,696.00
Summary
Collection, Sharing, Visualisation and Analysis of locally gathered information from geographically remote areas vulnerable to tidal waves. This project will set up a virtual organization for tsunami related data analysis using grid technology. Due to geologically remote areas/countries involved the sharing of seismic, tidal and other locally gathered tsunami related information is critical to issuing a warning. In collaboration with Australian and International partners, this project will explo ....Collection, Sharing, Visualisation and Analysis of locally gathered information from geographically remote areas vulnerable to tidal waves. This project will set up a virtual organization for tsunami related data analysis using grid technology. Due to geologically remote areas/countries involved the sharing of seismic, tidal and other locally gathered tsunami related information is critical to issuing a warning. In collaboration with Australian and International partners, this project will explore: new avenues of tsunami-related data collection, which are currently not available; new data fusion methods; data sharing strategies; visualisation and analysis methods; and develop sensing methods to gather data on animal behaviours often reported as a possible way of identifying similar disasters.Read moreRead less