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A Cloud-Based Image Analysis Gateway for Traumatic Brain Injury Research

机译:用于创伤性脑损伤研究的基于云的图像分析网关

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摘要

Diffusion Tensor Imaging (DTI) may soon become the noninvasive tool of choice for diagnosing Traumatic Brain Injury (TBI) due to its ability to examine white matter changes in the living brain. While research has shown the value of DTI in differentiating affected and control populations, further work is required to develop algorithms and tools that enable reliable and reproducible methods for obtaining clinical biomarkers. Current approaches are computationally intensive, collaborative and require orchestrated invocation of many independently developed research tools. Thus, researchers are faced with challenges related to developing such complex analysis pipelines and executing them at scale on high performance compute resources and over large subject cohorts. To alleviate the need for both considerable technical expertise and dedicated local resources to set up and run those analyses, we have developed an always available cloud-based gateway service in which computational resources are provisioned and configured on demand. We build upon the Globus Galaxies platform which allows researchers to assemble and execute complex pipelines through their web browser. Our DTI gateway supports a range of different analyses and implements an execution model in which cloud compute instances are dynamically provisioned and configured.
机译:弥散张量成像(DTI)可能很快成为诊断创伤性脑损伤(TBI)的非侵入性工具,因为它具有检查活脑白质变化的能力。虽然研究表明DTI在区分受影响和控制人群方面的价值,但仍需要进一步的工作来开发算法和工具,以实现可靠且可重复的方法来获得临床生物标志物。当前的方法是计算密集型的,协作的,并且需要许多独立开发的研究工具的协调调用。因此,研究人员面临着与开发这样的复杂分析管道以及在高性能计算资源和大型研究对象上大规模执行它们有关的挑战。为了减轻对建立和运行这些分析的大量技术专长和专用本地资源的需求,我们开发了一种始终可用的基于云的网关服务,其中可以按需配置和配置计算资源。我们以Globus星系平台为基础,该平台使研究人员可以通过其Web浏览器组装和执行复杂的管道。我们的DTI网关支持一系列不同的分析,并实现了一个执行模型,在该模型中动态地配置和配置了云计算实例。

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