三种海量医学图像存储技术对比分析

Comparative Analysis of Three Massive Medical Image Storage Technologies

当前海量的医疗数据已影响到医疗机构信息化建设,单纯依靠传统本地存储已经不能解决海量数据带来的调阅速度慢、可视化差及经济性低等诸多问题。再者,国内外发展各类医疗云服务,实现病人数据医疗机构间云共享,需要医疗数据的存取速度有更快的要求。医学图像占医疗数据比重非常大,通过对三种主流存储技术的医学图像传输速度测试,在高可用性和成本多角度进行了分析,为未来的医学图像大数据在存取过程中可选的存取系统提出一种更优解。实验结果表明,在海量医学图像存取过程中,对象存储系统的存取速度和性能优于现有的本地文件存储,但综合考虑,推荐使用以HDFS为代表的分布式文件存储系统来作为存储和读取医学图像首选的存储系统。

Nowadays,the massive medical data have already influenced the information construction in medical institutes,so it is not enough to solely rely on traditional local storage system to solve the problems like the read/write speed,visualization,and economy brought about by the massive data.Furthermore,various medical cloud services have been developed at home and abroad that patients’medical data can be shared through all medical institutes on the cloud,which makes a higher demand on the transmission speed of the medical data.This article analyzes from multiple aspects like high availability and costs by performing a medical image transmission speed test on the three mainstream storage technologies to provide an optional storage system for future medical image big data in the access process.The experimental result shows that it can be found that in the process of accessing medical image big data,the access speed and performance of object storage system is better than those of the existing local storage systems.However,with comprehensive consideration,it is recommended that the distributed file storage system like HDFS be the first choice for the storage system of the medical images.