Bilateral Filtering of fMRI Data
Bilateral Filtering of fMRI Data
复制标题
DOI：
10.1109/jstsp.2008.2007826
复制
发表时间：
2008-12
影响因子：
7.5
通讯作者：
J. Rydell;H. Knutsson;M. Borga
中科院分区：
文献类型：
--
作者：
J. Rydell;H. Knutsson;M. Borga
提出了一类与双边滤波相关的功能磁共振成像(FMRI)数据的自适应滤波技术。这类方法对一致地区的活动进行平均，而不是用大胆的模型最大化相关性的地区。讨论了基于信号相似性和解剖相似性的相似性度量，并与标准线性低通滤波进行了实验比较。研究表明，自适应滤波可以改进激活区域的检测。
We present a class of adaptive filtering techniques of functional magnetic resonance imaging (fMRI) data related to bilateral filtering. This class of methods average activities in consistent regions rather than regions that maximize correlation with a BOLD model. Similarity measures based on signal similarity and anatomical similarity are discussed and compared experimentally to standard linear low pass filtering. It is demonstrated that adaptive filtering provides improved detection of activated regions.