摘要
脑内源信号光学成像是近十几年发展起来的研究大脑皮层神经群体活动的成像方法。内源性光学信号非常微弱,并且在穿过皮层组织时会发生扩散,使得图像存在一定程度的退化。本研究通过对功能图像的二阶统计量分析,选取功能柱区域与非功能柱区域像素进行联合求解高斯函数,得到针对内源性光学信号的点扩展函数的估计,并对内源性光学信号图像进行恢复。恢复图像的二阶统计量的分布形式表明,图像中的功能柱区域较处理前更为集中。利用此结果,以恢复图像的二阶统计量作为阈值划分的标准,对功能柱区域进行了准确的分割提取。
Optical imaging based on intrinsic signals is a new emerging technology for studying functional architecture of the cortex.Owing to the characteristics of the signal of optical imaging such as weak penetration,ready to scatter,image blur occurs when penetrating cortex.The present study explored the second-order statistical results of function image,and proposed an estimation method for the point spread function of endogenous optical signals based on select different pixels to solute Gauss equations.The second-order statistics of deconvolution results showed that this algorithm preserved more details with function columns.The classification method for the threshold extracted from second-order statistical results of deconvolution image was proposed to ensure the accurate division of the activated functional orientation columns.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2011年第3期340-345,共6页
Chinese Journal of Biomedical Engineering
基金
国家重点基础研究项目(2007CB311001)
国家自然科学基金(90820301
60835005
60736029)
上海市科委基金(088014158
098014026)
关键词
光学成像
内源信号
二阶统计量
点扩展函数
optical imaging
intrinsic signals
second-order statistics
point spread function
