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Adapting Medical Image Processing Tasks to a Scalable Scientific Workflow System

机译:使医学图像处理任务适应可扩展的科学工作流程系统

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In this paper, we present a web-based medical image processing scientific workflow system called DATAVIEW. This platform is implemented to satisfy the need of physicians to process their data by computer scientists and therefore, overcome the problem of delay for communicating between these two groups and speed up the processing which is very important in emergency conditions. For employing this workflow system, clinicians do not require to install any software tools and can create, save, share, reuse, and run their workflows only using a web browser without knowing the implementation details of the service. For employing the DATAVIEW workflow system for the medical image processing purpose, we extend this workflow system by integrating medical image software tools to this platform which is one of the challenges of this research. Also, in order to provide processing the data in parallel, we integrate high-end computing resource like grids to the system to speed up the processing, which is another challenge for this work. This is very important in medical imaging field because some software tools are very time consuming and in the urgent time, the physicians need to process multiple patients in parallel and get the results fast. As a case study, we choose epilepsy, which is one of the most common brain disorders.
机译:在本文中,我们提出了一种基于网络的医学图像处理科学工作流程系统,称为DATAVIEW。实施该平台是为了满足医生对计算机科学家进行数据处理的需求,因此,可以克服这两个群体之间通信延迟的问题,并加快处理速度,这在紧急情况下非常重要。为了使用此工作流程系统,临床医生不需要安装任何软件工具,并且仅使用Web浏览器就可以创建,保存,共享,重用和运行其工作流程,而无需了解该服务的实现细节。为了将DATAVIEW工作流系统用于医学图像处理,我们通过将医学图像软件工具集成到该平台来扩展该工作流系统,这是本研究的挑战之一。另外,为了提供并行处理数据的功能,我们将诸如网格之类的高端计算资源集成到系统中以加快处理速度,这是这项工作的另一个挑战。这在医学成像领域非常重要,因为某些软件工具非常耗时,并且在紧急情况下,医生需要并行处理多个患者并快速获得结果。作为案例研究,我们选择癫痫病,这是最常见的脑部疾病之一。

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