Parametric modeling for quantitative analysis of pulmonary structure to function relationships

Clifton R. Haider, Brian J. Bartholmai, David R. Holmes, Jon J. Camp, Richard A. Robb

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

While lung anatomy is well understood, pulmonary structure-to-function relationships such as the complex elastic deformation of the lung during respiration are less well documented. Current methods for studying lung anatomy include conventional chest radiography, high-resolution computed tomography (CT scan) and magnetic resonance imaging with polarized gases (MRI scan). Pulmonary physiology can be studied using spirometry or V/Q nuclear medicine tests (V/Q scan). V/Q scanning and MRI scans may demonstrate global and regional function. However, each of these individual imaging methods lacks the ability to provide high-resolution anatomic detail, associated pulmonary mechanics and functional variability of the entire respiratory cycle. Specifically, spirometry provides only a one-dimensional gross estimate of pulmonary function, and V/Q scans have poor spatial resolution, reducing its potential for regional assessment of structure-to-function relationships. We have developed a method which utilizes standard clinical CT scanning to provide data for computation of dynamic anatomic parametric models of the lung during respiration which correlates high-resolution anatomy to underlying physiology. The lungs are segmented from both inspiration and expiration three-dimensional (3D) data sets and transformed into a geometric description of the surface of the lung. Parametric mapping of lung surface deformation then provides a visual and quantitative description of the mechanical properties of the lung. Any alteration in lung mechanics is manifest by alterations in normal deformation of the lung wall. The method produces a high-resolution anatomic and functional composite picture from sparse temporal-spatial methods which quantitatively illustrates detailed anatomic structure to pulmonary function relationships impossible for translational methods to provide.

Original languageEnglish (US)
Article number20
Pages (from-to)184-190
Number of pages7
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5744
Issue numberI
DOIs
StatePublished - Aug 16 2005
EventMedical Imaging 2005 - Visualization, Image-Guided Procedures, and Display - San Diego, CA, United States
Duration: Feb 13 2005Feb 15 2005

Keywords

  • CT Imaging
  • Parametric Models
  • Pulmonary Physiology
  • Visualization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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