基于小波分解的脑核磁图像分析系统设计

Design of Brain MRI Image Analysis System Based on Brainlab

通过计算机的方式实现脑核磁图像(MRI)的分类以及病灶位置的检测及提取具有非常重要的意义。论文设计了基于小波分解的图形用户界面,采用图形用户界面设计的方法设计操作界面,采用小波分解算法对MRI的进行分类,将正常人和患者的同期大脑的体数据导入工作空间并进行T检验,找出差异最大的ROI区域,从而得到疾病影响大脑的区域,为医生的治疗提供技术支持。

It is of great significance to realize the classification of brain magnetic imaging( MRI) and the detection and extraction of the location of the lesion by computer. The paper designs a graphical user interface based on Brainlab and realizes its functions,uses the method of graphical user interface design to design the operation interface,uses the core algorithm of support vector machine to classify MRI,and imports the brain volume data of normal people and patients at the same time work space and perform a T test to find the ROI area with the largest difference,so as to get the area that the disease affects the brain,and provide help for the doctor’s treatment.