Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation.

Details

Serval ID
serval:BIB_48BC27EC26CD
Type
Article: article from journal or magazin.
Collection
Publications
Title
Pulmonary airways: 3-D reconstruction from multislice CT and clinical investigation.
Journal
Ieee Transactions on Medical Imaging
Author(s)
Fetita C.I., Prêteux F., Beigelman-Aubry C., Grenier P.
ISSN
0278-0062 (Print)
ISSN-L
0278-0062
Publication state
Published
Issued date
2004
Volume
23
Number
11
Pages
1353-1364
Language
english
Notes
Publication types: Clinical Trial ; Comparative Study ; Journal Article ; Validation Studies
Abstract
In the framework of computer-aided diagnosis, this paper proposes a novel functionality for the computerized tomography (CT)-based investigation of the pulmonary airways. It relies on an energy-based three-dimensional (3-D) reconstruction of the bronchial tree from multislice CT acquisitions, up to the sixth- to seventh-order subdivisions. Global and local analysis of the reconstructed airways is possible by means of specific visualization modalities, respectively, the CT bronchography and the virtual bronchoscopy. The originality of the 3-D reconstruction approach consists in combining axial and radial propagation potentials to control the growth of a subset of low-order airways extracted from the CT volume by means of a robust mathematical morphology operator-the selective marking and depth constrained (SMDC) connection cost. The proposed approach proved to be robust with respect to a large spectrum of airway pathologies, including even severe stenosis (bronchial lumen obstruction/collapse). Validated by expert radiologists, examples of airway 3-D reconstructions are presented and discussed for both normal and pathological cases. They highlight the interest in considering CT bronchography and virtual bronchoscopy as complementary tools for clinical diagnosis and follow-up of airway diseases.
Keywords
Algorithms, Artificial Intelligence, Bronchial Diseases/pathology, Bronchial Diseases/radiography, Bronchography/methods, Bronchoscopy/methods, Humans, Imaging, Three-Dimensional/methods, Pattern Recognition, Automated/methods, Radiographic Image Enhancement/methods, Radiographic Image Interpretation, Computer-Assisted/methods, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Subtraction Technique
Pubmed
Create date
31/08/2011 12:46
Last modification date
20/08/2019 13:55
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