Effects of CBV, CBF, and blood-brain barrier permeability on accuracy of PASL and VASO measurement

Changwei W. Wu, Ho Ling Liu, Jyh Horng Chen, Yihong Yang

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


Cerebral blood flow, cerebral blood volume (CBV), and water permeability through blood-brain barrier are important hemodynamic parameters in brain physiology. Pulsed arterial spin labeling and vascular-space occupancy techniques have been used to measure regional cerebral blood flow and CBV, respectively. However, these techniques generally ignore the effects of one hemodynamic parameter on the measurement of others. For instance, the influences of CBV changes on arterial spin labeling or the permeability effects on vascular-space occupancy typically were not accounted for in the quantification of blood flow or volume. In the current work, the biophysical effects of CBV on pulsed arterial spin labeling and permeability on vascular-space occupancy signals are evaluated using a general two-compartment model. The dependence of these effects on the T1 at various field strengths is also assessed by simulations. Results indicate that CBV has negligible to small influences on pulsed arterial spin labeling signal (<6.6% at 3 T) and permeability effects are negligible on vascular-space occupancy signal (<0.1% at 3 T) under normal physiologic conditions. In addition, CBV effect on pulsed arterial spin labeling is further diminished at high field strengths, but residual blood contamination in vascular-space occupancy signal may be enhanced at high fields due to the reduced difference between extra- and intravascular T1 values.

Original languageEnglish
Pages (from-to)601-608
Number of pages8
JournalMagnetic Resonance in Medicine
Issue number3
Publication statusPublished - Mar 1 2010
Externally publishedYes


  • Arterial spin labeling
  • Blood-brain barrier
  • Cerebral blood flow
  • Cerebral blood volume
  • Functional MRI
  • Permeability
  • Vascular-space occupancy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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