Comparative Analysis of Three Massive Medical Image Storage Technologies.
10.3969/j.issn.1671-7104.2021.04.003
- Author:
Jiecheng GAO
1
;
Yuanyuan YANG
1
Author Information
1. Medical Image Laboratory of Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083.
- Publication Type:Journal Article
- Keywords:
distributed file storage;
distributed object storage;
local file storage;
massive medical image;
speed test
- MeSH:
Cloud Computing;
Computer Communication Networks;
Humans;
Information Storage and Retrieval;
Technology
- From:Chinese Journal of Medical Instrumentation
2021;45(4):366-371
- CountryChina
- Language:Chinese
-
Abstract:
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.
