title: Three-dimensional airway measurements and algorithms.
abstract: Advances in high-resolution computed tomography (CT) imaging are making a full three-dimensional analysis of the lungs feasible. In particular, airway morphology can be studied in vivo and quantitative metrics of airway size and shape can be extracted. The thickening process associated with the inflammatory response in the diseased lung can be quantified by means of image processing techniques that extract the airway lumen and airway wall. In this article, we give an overview of these imaging techniques and their diverse nature. We also offer a comprehensive view of the analysis pipeline for three-dimensional airway trees and a validation framework that is needed to compare different techniques.
authors.affiliation: Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, 5 floor, Boston, MA 02215, USA. rjosest@bwh.harvard.edu
authors.forename: Raúl
authors.initials: R
authors.lastname: San José Estépar
authors.forename: John J
authors.initials: JJ
authors.lastname: Reilly
authors.forename: Edwin K
authors.initials: EK
authors.lastname: Silverman
authors.forename: George R
authors.initials: GR
authors.lastname: Washko
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008168:Lung / Q000000981:diagnostic imaging*; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed