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Automated quantification of lung structures from optical coherence tomography images

Pagnozzi, A.M., Kirk, R.W., Kennedy, B.F., Sampson, David and McLaughlin, R.A. (2013) Automated quantification of lung structures from optical coherence tomography images Biomedical Optics Express, 4 (11). pp. 2383-2395.

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Abstract

Characterization of the size of lung structures can aid in the assessment of a range of respiratory diseases. In this paper, we present a fully automated segmentation and quantification algorithm for the delineation of large numbers of lung structures in optical coherence tomography images, and the characterization of their size using the stereological measure of median chord length. We demonstrate this algorithm on scans acquired with OCT needle probes in fresh, ex vivo tissues from two healthy animal models: pig and rat. Automatically computed estimates of lung structure size were validated against manual measures. In addition, we present 3D visualizations of the lung structures using the segmentation calculated for each data set. This method has the potential to provide an in vivo indicator of structural remodeling caused by a range of respiratory diseases, including chronic obstructive pulmonary disease and pulmonary fibrosis.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences
Faculty of Health and Medical Sciences
Authors :
NameEmailORCID
Pagnozzi, A.M.
Kirk, R.W.
Kennedy, B.F.
Sampson, Davidd.sampson@surrey.ac.uk
McLaughlin, R.A.
Date : 2013
DOI : 10.1364/BOE.4.002383
Uncontrolled Keywords : Algorithms, Image segmentation, Pulmonary diseases, Three dimensional computer graphics, 3D Visualization, Animal model, Chord lengths, Chronic obstructive pulmonary disease, Fully automated, Lung structures, Pulmonary fibrosis, Structural remodeling, Optical tomography, algorithm, animal tissue, article, B scan, bronchiole, chronic obstructive lung disease, image analysis, image processing, lung alveolus, lung fibrosis, lung structure, noise reduction, nonhuman, optical coherence tomography, rat, stereometry, swine, tissue characterization, Animalia, Rattus, Suidae
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 05 Jun 2018 09:49
Last Modified : 19 Sep 2018 11:32
URI: http://epubs.surrey.ac.uk/id/eprint/846811

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