【摘 要】
：
功能核磁共振和弥散张量这2种成像方式能够反应人类大脑不同方面的信息,采用小波变换的方法来对这2种医学图像进行融合可以有效改善抑郁症的识别准确率.首先,利用多尺度小波
【机 构】
：
东南大学学习科学研究中心,南京,210096南京医科大学附属脑科医院,南京,210029;
论文部分内容阅读
功能核磁共振和弥散张量这2种成像方式能够反应人类大脑不同方面的信息,采用小波变换的方法来对这2种医学图像进行融合可以有效改善抑郁症的识别准确率.首先,利用多尺度小波分解方法把每种类型的图像都转换到频域,以得到各频率的成分参数.其次,对于每个被试,将2种图像的分解参数根据频率各自相加,并且通过小波逆变换重建出融合图像.然后,使用主成分分析方法对融合的数据进行降维并得到图像特征.基于融合后图像的特征,采用留一检验方法最终得到了80.95％的抑郁症识别率.可以看出,该小波融合方法能够对当前抑郁症的诊断识别进行有效的改进.
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