NDLI: OI and fMRI Signal Separation by Maximizing Both Temporal and Spatial Structures

Content Provider	IEEE Xplore Digital Library
Author	Ming Li Yadong Liu Dewen Hu
Copyright Year	2009
Abstract	A novel signal source separation method is introduced for analysis of intrinsic Optical Imaging (OI) and functional Magnetic Resonance Imaging (fMRI) data. This method is based on the fact that all real interesting signals are autocorrelated spatially as well as temporally. Many signal source separation algorithms which using autocorrelation or other structure information of the interesting signals, e.g. Canonical Correlation Analysis (CCA), have been proposed before. However, these traditional methods using only temporal structure in temporal signal separation and only spatial structure in spatial signal separation. In this article, we have given a new definition of the spatial distribution pattern of temporal signals, this make it possible to represent the spatial autocorrelations of temporal sources. Then an objective function which takes account of both temporal and spatial autocorrelations could be constructed. By maximizing such objective function, it is expected to find the real signal sources underlie the mixed data. The comparison experiment shows that the new method is of better performance in recovering the signal sources than the traditional methods.
Starting Page	495
Ending Page	498
File Size	217164
Page Count	4
File Format	PDF
ISBN	9780769535838
DOI	10.1109/ICMTMA.2009.577
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Mechatronics Automation Image analysis Magnetic resonance imaging Electrostatic discharge Optical imaging Magnetic analysis Autocorrelation Signal analysis
Content Type	Text
Resource Type	Article

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