j.issn.1005-202X.2019.11.008]
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肺部影像组学数据库系统设计与实现()

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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Author(s):: YUAN Huimin; GONG Jing; NIE Shengdong; Institute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

摘要:: 近年来基于肺部CT影像组学研究已成为医学影像领域中重点发展方向之一。但是目前国内外现存肺癌相关数据库存在信息欠缺，缺乏统一数据模型，无法实现数据共享等问题。因此，本文构建了肺部影像组学数据库系统。首先，根据影像组学研究所需数据标准进行需求分析及系统功能、结构以及数据库设计；然后，在B/S架构，基于MVC模式的ThinkPHP开发框架下，利用HTML5+JavaScript+CSS技术组合完成系统前端数据的显示，PHP技术完成服务器端逻辑处理，MySQL实现对影像组学数据存储与管理；最后，运行测试结果表明，本数据库可兼容多平台实现数据共享，不仅可实现DICOM格式CT影像可视化且在补充LIDC数据库中数据项的基础上使得CT影像数据与多学科临床诊疗数据形成统一的数据模型，推进了肺癌精准诊疗研究进展。

Abstract:: Radiomcis based on lung CT has recently become one of the most important development trends in the field of medical imaging. However, there are some problems in the existing domestic and international database of lung cancer, such as lack of information, lack of unified data model, unable to realize data sharing and so on. In order to solve the above-mentioned problems, a lung radiomcis database system is constructed. Firstly, the requirement analysis and the designs of system function, system structure and database are carried out according to the data standards required in radiomcis research. Then, in B/S framework, based on the ThinkPHP development framework of MVC mode, HTML5+JavaScript+CSS technology is used for the display of system front-end data, PHP technology for server-side logic processing, and MySQL for the storage and management of radiomics data. Finally, the test results show that the database can be compatible with multiple platforms to achieve data sharing. On the basis of supplementing data items in LIDC database, the database can not only realize the visualization of CT image in DICOM format, but also form a unified data model between CT image data and multi-disciplinary clinical data, thus greatly promoting the research on precision diagnosis and treatment of lung cancer.

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备注/Memo:: 【收稿日期】2019-06-08 【基金项目】国家自然科学基金（60972122）【作者简介】袁慧敏，硕士研究生，研究方向：医学影像处理及软件工程，E-mail: 1135963194@qq.com 【通信作者】聂生东，博士，教授，研究方向：医学图像处理与分析、核磁共振图像以及信号处理分析，E-mail: nsd@163.com

更新日期/Last Update: 2019-11-28