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 language | English (US) |
---|---|
Pages (from-to) | 555-563 |
Number of pages | 9 |
Journal | Computerized Medical Imaging and Graphics |
Volume | 29 |
Issue number | 7 |
DOIs | |
State | Published - Oct 2005 |
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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 journal › Article
}
TY - JOUR
T1 - Quantitative characterization of lung disease
AU - Haider, Clifton R
AU - Bartholmai, Brian Jack
AU - Holmes III, David R.
AU - Camp, J. J.
AU - Robb, R. A.
PY - 2005/10
Y1 - 2005/10
N2 - 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.
AB - 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.
KW - 3D visualization
KW - CT imaging
KW - Deformable models
KW - Lung disease
KW - Pulmonary mechanics
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UR - http://www.scopus.com/inward/citedby.url?scp=27744512367&partnerID=8YFLogxK
U2 - 10.1016/j.compmedimag.2005.04.004
DO - 10.1016/j.compmedimag.2005.04.004
M3 - Article
C2 - 16143495
AN - SCOPUS:27744512367
VL - 29
SP - 555
EP - 563
JO - Computerized Medical Imaging and Graphics
JF - Computerized Medical Imaging and Graphics
SN - 0895-6111
IS - 7
ER -