Ventilation-perfusion ratio of signal intensity in human lung using oxygen-enhanced and arterial spin labeling techniques

Vu M. Mai*, Benjamin Liu, Jason A. Polzin, Wei Li, Saban Kurucay, Alexander A. Bankier, Jack Knight-Scott, Priti Madhav, Robert R. Edelman, Qun Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This study investigates the distribution of ventilation-perfusion (V/Q) signal intensity (SI) ratios using oxygen-enhanced and arterial spin labeling (ASL) techniques in the lungs of 10 healthy volunteers. Ventilation and perfusion images were simultaneously acquired using the flow-sensitive alternating inversion recovery (FAIR) method as volunteers alternately inhaled room air and 100% oxygen. Images of the T1 distribution were calculated for five volunteers for both selective (T1f) and nonselective (T1) inversion. The average T1 was 1360 ms ± 116 ms, and the average T1f was 1012 ms ± 112 ms, yielding a difference that isstatistically significant (P < 0.002). Excluding large pulmonary vessels, the average V/Q SI ratios were 0.355 ± 0.073 for the left lung and 0.371 ± 0.093 for the right lung, which are in agreement with the theoretical V/Q SI ratio. Plots of the V/Q SI ratio are similar to the logarithmic normal distribution obtained by multiple inert gas elimination techniques, with a range of ratios matching ventilation and perfusion. This MRI V/Q technique is completely noninvasive and does not involve ionized radiation. A limitation of this method is the nonsimultaneous acquisition of perfusion and ventilation data, with oxygen administered only for the ventilation data.

Original languageEnglish (US)
Pages (from-to)341-350
Number of pages10
JournalMagnetic resonance in medicine
Volume48
Issue number2
DOIs
StatePublished - 2002

Keywords

  • Arterial spin labeling
  • Lung
  • Oxygen-enhanced
  • Perfusion
  • Ventilation
  • Ventilation-perfusion ratio

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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