MISS-D: A fast and scalable framework of medical image storage service based on distributed file system
MISS-D: A fast and scalable framework of medical image storage service based on distributed file system
复制标题
DOI：
10.1016/j.cmpb.2019.105189
复制
发表时间：
2019-11
影响因子：
6.1
通讯作者：
Wei Li;Chaolu Feng;Kun Yu;Dazhe Zhao
中科院分区：
文献类型：
--
作者：
Wei Li;Chaolu Feng;Kun Yu;Dazhe Zhao
由于数据的大小、计算复杂性、安全存储和固有的隐私问题，医学成像大数据的处理极具挑战性。传统的图片归档和通信系统是医疗保健行业使用的一种成像技术，在实际解决方案中通常使用集中式高性能磁盘存储阵列。现有的存储解决方案不适合需要可靠存储和及时访问的各种医学成像大数据。经济的解决方案正在以云计算的形式出现，它提供可扩展性、弹性、性能和更好的成本管理。基于云的医学影像大数据存储架构已经引起了越来越多的关注，在业界和学术界MethodsThis study presents a novel，fast and scalable framework of medical image storage service based on distributed file system.本文介绍了该框架的两个创新之处。为适应分布式文件系统的高性能存储效率，设计了一种适用于大规模图像序列的集成医学影像内容索引文件模型。提出了一种虚拟文件池技术，该技术采用内存映射文件的方法实现高效的数据阅读过程，并提供了虚拟文件池中的数据交换策略。结果实验表明，该框架不仅具有相当的阅读和写入文件的性能，满足实时应用领域的需求，而且通过多种客户端访问类型，为临床系统开发人员提供了更大的便利。该框架通过统一的微服务接口支持不同的用户客户端类型，基本满足临床系统开发尤其是在线应用的需求。实验结果表明，该框架可以满足实时数据访问的需要，以及传统的图片存档和communicationssystem.ConclusionsThis框架的目的是让快速的数据访问海量医学图像，这可以证明本文实现的MISS-D框架的实时数据交互的在线Web客户端。该框架还为现有的开源和商业替代方案提供了大量功能子集，具有广泛的潜在应用。
Background and ObjectiveProcessing of medical imaging big data is deeply challenging due to the size of data, computational complexity, security storage and inherent privacy issues. Traditional picture archiving and communication system, which is an imaging technology used in the healthcare industry, generally uses centralized high performance disk storage arrays in the practical solutions. The existing storage solutions are not suitable for the diverse range of medical imaging big data that needs to be stored reliably and accessed in a timely manner. The economical solution is emerging as the cloud computing which provides scalability, elasticity, performance and better managing cost. Cloud based storage architecture for medical imaging big data has attracted more and more attention in industry and academia.MethodsThis study presents a novel, fast and scalable framework of medical image storage service based on distributed file system. Two innovations of the framework are introduced in this paper. An integrated medical imaging content indexing file model for large-scale image sequence is designed to adapt to the high performance storage efficiency on distributed file system. A virtual file pooling technology is proposed, which uses the memory-mapped file method to achieve an efficient data reading process and provides the data swapping strategy in the pool.ResultThe experiments show that the framework not only has comparable performance of reading and writing files which meets requirements in real-time application domain, but also bings greater convenience for clinical system developers by multiple client accessing types. The framework supports different user client types through the unified micro-service interfaces which basically meet the needs of clinical system development especially for online applications. The experimental results demonstrate the framework can meet the needs of real-time data access as well as traditional picture archiving and communication system.ConclusionsThis framework aims to allow rapid data accessing for massive medical images, which can be demonstrated by the online web client for MISS-D framework implemented in this paper for real-time data interaction. The framework also provides a substantial subset of features to existing open-source and commercial alternatives, which has a wide range of potential applications.