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dc.contributor.authorNan, F.Y.
Nowak, Robert David
dc.creatorNan, F.Y.
Nowak, Robert David
dc.date.accessioned 2007-10-31T00:54:55Z
dc.date.available 2007-10-31T00:54:55Z
dc.date.issued 1999-04-20
dc.date.submitted 2002-10-02
dc.identifier.citation F. Nan and R. D. Nowak, "Generalized likelihood ratio detection for fMRI using complex data," IEEE Transactions on Medical Imaging, vol. 18, no. 4, 1999.
dc.identifier.urihttps://hdl.handle.net/1911/20130
dc.description Journal Paper
dc.description.abstract The majority of fMRI studies obtain functional information using statistical tests based on the magnitude image reconstructions. Recently, a complex correlation (CC) test was proposed based on teh complex image data in order to take advantage of phase information in teh signal. However, the CC test ignores additional phase information in the baseline component of the data. In this paper, a new detector for fMRI based on a Generalized Likelihood Ration Test (GLRT) is proposed. The GLRT exploits the fact that the fMRI response signal as well as the baseline component of the data share a common phase. Theoretical analysis and Monte Carlo simulation are used to explore the performance of the new detector. At relatively low signal intensities, the GLRT outperforms both the standard magnitude data test and the CC test. At high signal intensities, the GLRT performs as well as teh standard magnitude data test and significantly better than the CC test.
dc.language.iso eng
dc.subjectfunctional magnetic resonance imaging (fMRI)
signal detection
statistics
hypothesis testing
dc.subject.otherimage processing and pattern analysis
dc.title Generalized likelihood ratio detection for fMRI using complex data
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Medical Imaging
dc.date.modified 2002-10-10
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordfunctional magnetic resonance imaging (fMRI)
signal detection
statistics
hypothesis testing
dc.citation.volumeNumber 18
dc.citation.issueNumber 4
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/42.768841
dc.citation.firstpage 320
dc.citation.lastpage 329


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1287]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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