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Towards Building High Performance Medical Image ManagementSystem for Clinical Trials

机译:为临床试验构建高性能医学图像管理系统

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Medical image based biomarkers are being established for therapeutic cancer clinical trials, where image assessment is among the essential tasks. Large scale image assessment is often performed by a large group of experts by retrieving images from a centralized image repository to workstations to markup and annotate images. In such environment, it is critical to provide a high performance image management system that supports efficient concurrent image retrievals in a distributed environment. There are several major challenges: high throughput of large scale image data over the Internet from the server for multiple concurrent client users, efficient communication protocols for transporting data, and effective management of versioning of data for audit trails. We study the major bottlenecks for such a system, propose and evaluate a solution by using a hybrid image storage with solid state drives and hard disk drives, RESTful Web Services based protocols for exchanging image data, and a database based versioning scheme for efficient archive of image revision history. Our experiments show promising results of our methods, and our work provides a guideline for building enterprise level high performance medical image management systems.
机译:正在为治疗性癌症临床试验建立基于医学图像的生物标志物,其中图像评估是必不可少的任务。通过从集中式图像存储库中检索到工作站来标记和注释图像,通常由大群专家进行大规模的图像评估。在这种环境中,提供一种高性能图像管理系统至关重要的是在分布式环境中支持有效的并发图像检索。有几个主要挑战:从服务器上网的大规模图像数据的高吞吐量,用于多个并发客户端用户,有效的通信协议用于传输数据,有效管理审计跟踪的数据版本控制。我们研究了这种系统的主要瓶颈,提出并通过使用具有固态驱动器和硬盘驱动器的混合图像存储,基于RUSP服务的协议以及用于交换图像数据的协议,以及用于高效存档的数据库的版本控制方案图像修订历史记录。我们的实验表明了我们的方法的有希望的结果,我们的工作提供了建立企业级高性能医学图像管理系统的指导。

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