Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images

这个项目将研究网格计算在从磁共振（MR）图像中检测乳腺癌中的效用。使用磁共振成像获得的大量数据对临床医生来说很难进行审查，并且遗漏或错误检测的成本很高。为了提供获取数据的快速可视化和评估，网格计算将与带有触觉反馈的交互式可视化结合使用。网格计算经验和触觉设备专业知识将通过瑞典合作者实现。该项目的成功成果将是用于生产3D彩色编码乳房图像的软件，其中可疑区域被突出显示，并且可以使用触觉设备进行物理询问。

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.