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Alignment of dynamic contrast-enhanced MR volumes of the breast for a multicenter trial: an exemplar grid application

机译:动态对比度增强乳房MR卷对多中心试验的对准:示例网格应用

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Image registration is a very important procedure in medical imaging analysis. However, the intensive computations involved in image registration have to some extent made it impractical for interactive use as well as limiting its general availability. This paper presents our current Grid project to facilitate image registration tasks. We have set up an image registration Grid by combining the attractive features of both Globus and Condor distributed computing environments. In order to make it more convenient to use, we have also developed a web interface for potential clients to specify and submit their image registration jobs to the Grid. The initial experiments in 3D breast MR images have shown encouraging results and demonstrated the suitability of Grid technology to this type of computationally intensive applications. The image registration Grid makes it much more straightforward for different institutes to use the identical registration program and protocols to register images consistently, quickly and efficiently. This can greatly improve data sharing and comparative studies in multi-centre trials. The Grid presented here could be an important step for clinical applications of image registration. Future work will focus on refining the Grid with the aim of upgrading it to a Grid Service and testing the system more extensively with medical imaging dataset.
机译:图像注册是医学成像分析中的一个非常重要的过程。然而,在某种程度上,图像登记涉及的密集计算必须使交互式使用不切实际以及限制其普遍的可用性。本文介绍了我们当前的网格项目,以方便图像登记任务。通过组合Globus和Condor分布式计算环境的有吸引力功能,我们已经设置了图像注册网格。为了使其更方便使用,我们还开发了一种用于潜在客户端的Web界面,用于指定并提交其图像注册作业到网格。 3D乳房MR图像中的初始实验表明了令人鼓舞的结果,并证明了网格技术对这种类型的计算密集型应用的适用性。图像登记网格对于不同机构来说,使用相同的注册程序和协议来始终如一地,快速有效地注册图像。这可以大大改善多中心试验中的数据共享和比较研究。这里提出的网格可能是图像配准的临床应用的重要步骤。未来的工作将专注于改进网格,其目的是将其升级到电网服务并使用医学成像数据集更广泛地测试系统。

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