Proceedings of the American Thoracic Society Email Content Delivery
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

The Proceedings of the American Thoracic Society 5:905-909 (2008)
© 2008 The American Thoracic Society
doi: 10.1513/pats.200809-104QC
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by San José Estépar, R.
Right arrow Articles by Washko, G. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by San José Estépar, R.
Right arrow Articles by Washko, G. R.

Three-Dimensional Airway Measurements and Algorithms

Raúl San José Estépar1, John J. Reilly2, Edwin K. Silverman3,4 and George R. Washko4

1 Laboratory of Mathematics in Imaging, Department of Radiology, 3 Channing Laboratory, and 4 Pulmonary and Critical Care Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; and 2 Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania

Correspondence and requests for reprints should be addressed to Raúl San José Estépar, Ph.D., Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, 5th floor, Boston, MA 02215. E-mail: rjosest{at}bwh.harvard.edu

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.

Key Words: COPD • airway wall thickness • lung imaging • computed tomography






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2008 by the American Thoracic Society. 		 
ATS 2008 State of the Art Course