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Quantifying venous flow dynamics by flow-dephased and flow-rephased functional magnetic resonance imaging

  • Thies H. JochimsenEmail author
  • Harald E. Möller
Research Article

Abstract

By combining flow-dephased and flow-rephased diffusion weighting with blood oxygenation level dependent functional magnetic resonance imaging, it is possible to study flow dynamics in the venous network of the human brain. Thereby, ballistic flow, which conserves direction and velocity during echo time, is separated from diffusive flow with many changes in direction and velocity. By using this technique with very low diffusion/flow weighting, the mean velocity of ballistic flow was quantified in this study. The result of 10.9±3.2 cm/s strongly indicates that large venous vessels are the source of ballistic flow

Keywords

BOLD Diffusion-weighted fMRI Flow-rephasing and flow-dephasing Venous flow velocity 

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References

  1. 1.
    Jochimsen TH, Norris DG, Mildner T, Möller HE (2004) Quantifying the intra- and extravascular contributions to spin-echo fMRI at 3 T. Magn Reson Med 52:724–732CrossRefPubMedGoogle Scholar
  2. 2.
    Boxerman JL, Bandettini PA, Kwong KK, Baker JR, Davis TL, Rosen BR, Weisskoff RM (1995) The intravascular contribution to fMRI signal change: Monte Carlo modeling and diffusion-weighted studies in vivo. Magn Reson Med 34:4–10PubMedCrossRefGoogle Scholar
  3. 3.
    Song AW, Wong EC, Tan SG, Hyde JS (1996) Diffusion weighted fMRI at 1.5 T. Magn Reson Med 35:155–158PubMedCrossRefGoogle Scholar
  4. 4.
    Ahn C, Lee S, Nalcioglu O, Cho Z (1987) The effects of random directional distributed flow in nuclear magnetic resonance imaging. Med Phys 14:43–48CrossRefPubMedGoogle Scholar
  5. 5.
    Maki JH, MacFall JR, Johnson GA (1991) The use of gradient flow compensation to separate diffusion and microcirculatory flow in MRI. Magn Reson Med 17:95–107PubMedCrossRefGoogle Scholar
  6. 6.
    Fujita N, Harada K, Sakurai K, Akai Y, Kozuka T (1992) Separation of diffusion and slow flow effects by use of flow rephasing and dephasing. Magn Reson Med 24:109–122PubMedCrossRefGoogle Scholar
  7. 7.
    Jochimsen TH, von Mengershausen M (2004) ODIN – object-oriented development interface for NMR. J Magn Reson 170:67–78 (http://od1n.sourceforge.net)CrossRefPubMedGoogle Scholar
  8. 8.
    Duong TQ, Yacoub E, Adriany G, Hu X, Uğurbil K, Kim SG (2003) Microvasculatur BOLD contribution at 4 and 7 T in the human brain: gradient-echo and spin-echo fMRI with suppression of blood effects. Magn Reson Med 49:1019–1027CrossRefPubMedGoogle Scholar
  9. 9.
    Singer JR, Crooks LE (1983) Nuclear magnetic resonance blood flow measurement in the human brain. Science 221:654–656PubMedCrossRefGoogle Scholar
  10. 10.
    Valdueza JM, Schmierer K, Mehraein S, Einhaupl KM (1996) Assessment of normal flow velocity in basal cerebral veins. Stroke 27:1221–1225PubMedGoogle Scholar
  11. 11.
    Stolz E, Kaps M, Kern A, Babacan SS, Dorndorf W (1999) Transcranial color-coded duplex sonography of intracranial veins and sinuses in adults. Stroke 30:1070–1075PubMedGoogle Scholar

Copyright information

© ESMRMB 2005

Authors and Affiliations

  1. 1.Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
  2. 2.Lucas MRS/I Center, Department of RadiologyStanford UniversityStanfordUSA
  3. 3.Department of RadiologyUniversity of MünsterMünsterGermany

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