基于磁共振波谱的中枢神经疾病知识库的设计和应用

发布时间：2019-04-18 06:32

【摘要】：脑肿瘤、阿尔茨海默症、轻度认知障碍等中枢神经系统疾病严重危害人类神经系统功能,是影响人类寿命和生存质量的常见疾病。磁共振图像(MRI)提供人体器官和组织清晰直观的三维解剖图像,是评估脑异常病变的主要影像学诊断方法之一。磁共振波谱(MRS)无侵入地提供先于结构病变的代谢物含量改变信息,是MRI的有益补充,对上述神经系统疾病的早期诊断和分类分级有重要意义。随着MRS在临床诊断中应用的日益增多,MRI和MRS数据共享与辅助诊断平台的建设受到广泛关注。本文以脑肿瘤、阿尔茨海默症、轻度认知障碍为重点,采用MySQL建立数据库存储和管理患者基本信息、MRI、MRS等医学数据,并采用Java开发基于磁共振波谱的中枢神经疾病的知识库系统。本系统包括病人病历查询与管理、报告单显示、磁共振图像、磁共振波谱、用户信息管理等5大模块,提供病人信息查询、MRI及其属性标签查看与下载、MRS量化结果显示与下载、MRS与MRI的位置配准及其空间可视化等功能,为医生、研究人员、管理员等提供不同权限的需要。本文的工作为医生的疾病诊断和科研人员的研究实施提供了有效工具,推进了医学资料共享和自动化诊断的进程,并促进临床和科研的学术交流。随着研究工作的继续开展,更完善的系统将为神经系统疾病及其他疾病的诊断和治疗提供进一步的有效支持。
[Abstract]:Central nervous system diseases, such as brain tumor, Alzheimer's disease and mild cognitive impairment, seriously harm the function of human nervous system, and they are common diseases that affect the life span and quality of life of human beings. Magnetic resonance imaging (MRI) provides clear and direct three-dimensional anatomical images of human organs and tissues. It is one of the main imaging diagnostic methods for evaluating abnormal brain lesions. Magnetic resonance spectroscopy (MRS) non-invasively provides changes in metabolite content prior to structural lesions, which is a useful supplement to MRI. It is of great significance for the early diagnosis and classification of above-mentioned diseases of the nervous system. With the increasing application of MRS in clinical diagnosis, the construction of data sharing and assistant diagnosis platform for MRI and MRS has been paid more and more attention. This paper focuses on brain tumors, Alzheimer's disease and mild cognitive impairment, and uses MySQL to set up a database to store and manage patients' basic information, MRI,MRS and other medical data. The knowledge base system of central nervous system based on magnetic resonance spectroscopy was developed by Java. The system includes five modules, such as patient medical record query and management, report form display, magnetic resonance image, magnetic resonance spectrum, user information management, etc., which provides patient information query, MRI and its attribute label viewing and downloading. MRS quantitative results show and download, MRS and MRI location registration and spatial visualization functions, for doctors, researchers, administrators and other needs of different permissions. The work of this paper provides an effective tool for doctors' disease diagnosis and research implementation, promotes the process of medical data sharing and automated diagnosis, and promotes the academic exchange between clinical and scientific research. As the research continues, a better system will provide further effective support for the diagnosis and treatment of nervous system diseases and other diseases.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R741

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