Computing oxygen-enhanced ventilation maps using correlation analysis

Vu M. Mai*, Sean Tutton, Pottumarthi V. Prasad, Qun Chen, Wei Li, Chi Chen, Benjamin P Liu, Jason Polzin, Saban Kurucay, Robert R. Edelman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Correlation maps of oxygen-enhanced ventilation were obtained in nine healthy volunteers using complete and selected image series. The complete series included all images acquired with the subjects alternately inhaling room air and 100% oxygen. The selected series were the subsets of the complete series and included only co-registered images that showed matched diaphragmatic position at maximal expiration. Crosscorrelation was computed between the time response function of each pixel and the input function representing the alternation between periods of room air and 100% oxygen inhalation. The confidence level for the correlation analysis was set to 0.01. Pulmonary parenchymal anatomy was consistently reproduced throughout the lung, even in anterior slices where published data have reported correlation problems. The overall average correlation coefficient was 0.66 ± 0.07 for the complete series and 0.75 ± 0.08 for the selected series. It was concluded that correlation analysis could be used to reconstruct qualitative oxygen-enhanced ventilation maps.

Original languageEnglish (US)
Pages (from-to)591-594
Number of pages4
JournalMagnetic Resonance in Medicine
Issue number3
StatePublished - Mar 1 2003


  • Correlation map
  • Lung
  • Oxygen-enhanced
  • Pulmonary
  • Statistical analysis
  • Ventilation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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