Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation

Joseph M. Reinhardt, Kai Ding, Kunlin Cao, Gary E. Christensen, Eric A. Hoffman, Shalmali V. Bodas

Research output: Contribution to journalArticlepeer-review

Abstract

The main function of the respiratory system is gas exchange. Since many disease or injury conditions can cause biomechanical or material property changes that can alter lung function, there is a great interest in measuring regional lung ventilation and regional specific volume change. We describe a registration-based technique for estimating local lung expansion from multiple respiratory-gated CT images of the thorax. The degree of regional lung expansion is measured using the Jacobian (a function of local partial derivatives) of the registration displacement field, which we show is directly related to specific volume change. We compare the ventral-dorsal patterns of lung expansion estimated across five pressure changes to a xenon CT based measure of specific ventilation in five anesthetized sheep studied in the supine orientation. Using 3D image registration to match images acquired at 10 cm H2 O and 15 cm H2 O airway pressures gave the best match between the average Jacobian and the xenon CT specific ventilation (linear regression, average r2 = 0.73).

Original languageEnglish (US)
Pages (from-to)752-763
Number of pages12
JournalMedical image analysis
Volume12
Issue number6
DOIs
StatePublished - Dec 2008
Externally publishedYes

Keywords

  • Functional imaging
  • Image registration
  • Pulmonary
  • Ventilation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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