Improved Early Detection Of Breast Cancer Enabled By Grid-Computing And Advanced Modelling And Visualisation Of MR Images (2005–2006)

Abstract:
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.
Grant type:
ARC Special Research Initiatives - E-Research
Researchers:
  • Associate Dean (Research)
    Faculty of Engineering, Architecture and Information Technology
  • Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council