Magnetic Resonance Imaging
Volume 27, Issue 10 , Pages 1370-1381 , December 2009

Functional magnetic resonance imaging brain activation directly from k-space

  • Daniel B. Rowe

      Affiliations

    • Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    • Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    • Corresponding Author InformationCorresponding author. Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA. Tel.: +1 414 456 4027, fax: +1 414 456 6512.
    • ,
  • Andrew D. Hahn

      Affiliations

    • Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    • ,
  • Andrew S. Nencka

      Affiliations

    • Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226, USA

Received 21 October 2008 ,Revised 5 March 2009 ,Accepted 7 May 2009.

References 

  1. Haacke M, Brown R, Thompson M, Venkatesan R. Magnetic resonance imaging: physical principles and sequence design. New York: John Wiley and Sons; 1999;
  2. Kumar A, Welti D, Ernst RR. NMR Fourier zeugmatography. J Magn Reson. 1975;18:69–83
  3. Bandettini PM, Jesmanowicz A, Wong EC, Hyde JS. Processing strategies for time-course data sets in functional MRI of the human brain. Magn Reson Med. 1993;30:161–173
  4. Rowe DB, Logan BR. Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model. Neuroimage. 2005;24(2):603–606
  5. Rowe DB, Logan BR. A complex way to compute fMRI activation. Neuroimage. 2004;23:1078–1092
  6. Lai S, Glover GH. Detection of BOLD fMRI signals using complex data. Proc ISMRM. 1997;5:1671
  7. Nan FY, Nowak RD. Generalized likelihood ratio detection for fMRI using complex data. IEEE Trans Med Imag. 1999;8:320–329
  8. Rowe DB. Parameter estimation in the magnitude-only and complex-valued fMRI data models. Neuroimage. 2005;25:1124–1132
  9. Rowe DB. Modeling both the magnitude and phase of complex-valued fMRI data. Neuroimage. 2005;25(4):1310–1324
  10. Rowe DB, Meller CP, Hoffmann RG. Characterizing phase-only fMRI data with an angular regression model. J Neurosci Methods. 2007;161(2):331–341
  11. Logan BR, Rowe DB. An evaluation of thresholding techniques in fMRI analysis. Neuroimage. 2004;22(1):95–108
  12. Logan BR, Geliazkova MP, Rowe DB. An evaluation of spatial thresholding techniques in fMRI analysis. Hum Brain Mapp. 2008;29(12):95–108
  13. Rowe DB, Nencka AS, Hoffmann RG. Signal and noise of Fourier reconstructed fMRI data. J Neurosci Methods. 2007;159(2):361–369
  14. Harville DA. Matrix algebra from a statistician's perspective. New York: Springer-Verlag; 1999;

PII: S0730-725X(09)00146-5

doi: 10.1016/j.mri.2009.05.048

Magnetic Resonance Imaging
Volume 27, Issue 10 , Pages 1370-1381 , December 2009

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