Quantitative characterization of lung disease

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The increase in prevalence, incidence and variety of pulmonary diseases has precipitated the need for more non-invasive quantitative assessment of structure/function relationships in the lung. This need requires concise description not only of lung anatomy but also of associated underlying mechanics of pulmonary function, as well as deviation from normal in specific diseases. This can be facilitated through the use of adaptive deformable surface models of the lung at end inspiratory and expiratory volumes. Lung surface deformation may be used to represent tissue excursion, which can characterize both global and regional lung mechanics. In this paper, we report a method for robust determination and visualization of pulmonary structure and function using clinical CT scans. The method provides both intuitive 3D parametric visualization and objective quantitative assessment of lung structure and associated function, in both normal and pathological cases.

Original languageEnglish (US)
Pages (from-to)555-563
Number of pages9
JournalComputerized Medical Imaging and Graphics
Volume29
Issue number7
DOIs
StatePublished - Oct 2005

Fingerprint

Pulmonary diseases
Lung Diseases
Lung
Mechanics
Visualization
Computerized tomography
Tissue
Anatomy
Incidence

Keywords

  • 3D visualization
  • CT imaging
  • Deformable models
  • Lung disease
  • Pulmonary mechanics

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging

Cite this

Quantitative characterization of lung disease. / Haider, Clifton R; Bartholmai, Brian Jack; Holmes III, David R.; Camp, J. J.; Robb, R. A.

In: Computerized Medical Imaging and Graphics, Vol. 29, No. 7, 10.2005, p. 555-563.

Research output: Contribution to journalArticle

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