title: Quantitative characterization of lung disease.
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.
authors.affiliation: Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
authors.forename: C R
authors.initials: CR
authors.lastname: Haider
authors.forename: B J
authors.initials: BJ
authors.lastname: Bartholmai
authors.forename: D R
authors.initials: DR
authors.lastname: Holmes
authors.forename: J J
authors.initials: JJ
authors.lastname: Camp
authors.forename: R A
authors.initials: RA
authors.lastname: Robb
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods; D008168:Lung / Q000503:physiopathology; D008171:Lung Diseases / Q000000981:diagnostic imaging / Q000503:physiopathology*; D008954:Models, Biological; D014057:Tomography, X-Ray Computed; D014481:United States