Comparative Analysis of Three Massive Medical Image Storage Technologies / 中国医疗器械杂志

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.

Development of Clinical Information Navigation System Based on 3D Human Model / 中国医疗器械杂志

A clinical information navigation system based on 3D human body model is designed. The system extracts the key information of diagnosis and treatment of patients by searching the historical medical records, and stores the focus information in a predefined structured patient instance. In addition, the rule mapping is established between the patient instance and the three-dimensional human body model, the focus information is visualized on the three-dimensional human body model, and the trend curve can be drawn according to the change of the focus, meanwhile, the key diagnosis and treatment information and the original report reference function are provided. The system can support the analysis, storage and visualization of various types of reports, improve the efficiency of doctors' retrieval of patient information, and reduce the treatment time.