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针对脑内源光学信号的自适应中值滤波处理
  • ISSN号：1000-6737
  • 期刊名称：《生物物理学报》
  • 时间：0
  • 分类：Q632[生物学—生物物理学]
  • 作者机构：[1]电子科技大学生命科学与技术学院,成都610054, [2]中国科学院上海生命科学研究院生命中心,上海200031
  • 相关基金：国家重点基础研究项目（2007CB311001）; 国家自然科学基金项目（90820301 60835005 60736029）
作者： 尹愚[1,2], 宋雪梅[2]
关键词： 光学成像, 内源信号, 二阶统计量, 中值滤波, 自适应窗口, Optical imaging, Intrinsic signals, Second-order statistics, Median filtering, Adaptive windows
中文摘要：

具有高空间分辨率的脑内源性信号光学成像术是研究大脑皮层功能构筑的有力工具。针对非常微弱的内源性光学信号的提取,本文首先讨论了其噪声来源和基于生理结构原因的信号特征;然后根据由标准化处理得到的功能图像的二阶统计量分析结果,提出了自适应滤波窗口设计：使用非线性中值空域滤波,对含有不同特征的图像区域,分别采取不同的滤波窗口进行处理。图像处理结果表明,该算法去除噪声的效果优良,并能够保留皮层功能柱结构的细节特征。

英文摘要：

Optical imaging based on intrinsic signals is a powerful technology for studying functional architecture of the cortex in a large scale for its highest spatial resolution among in vivo brain research.For effectively extracting the endogenous weak optical signal,we analyzed the sources of noise and the signal characteristics in view of the anatomical structures of the brain,and presented an adaptive filter windows design based on second-order statistical analysis of the standardized functional image,then a nonlinear median filtering procedure was applied to smooth different filter windows.Our results show that this algorithm can keep more image details with effective noise reduction.

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期刊信息
  • 《生物物理学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国科协
  • 主办单位:中国生物物理学会
  • 主编：沈恂
  • 地址：北京朝阳区大屯路15号生物物理研究所内
  • 邮编：100101
  • 邮箱：acta@sun5.ibp.ac.cn
  • 电话：010-64888458
  • 国际标准刊号：ISSN：1000-6737
  • 国内统一刊号：ISSN：11-1992/Q
  • 邮发代号:
  • 获奖情况:
  • 二次获得中国科协优秀科技期刊奖
  • 国内外数据库收录:
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  • 被引量:7189