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  4. Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography

Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography

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Author(s)
Unglert, Carolin I.
•
Warger, William C.
•
Namati, Eman
•
Hostens, Jeroen
•
Birngruber, Reginald
•
Bouma, Brett E.
•
Tearney, Guillermo J.
Date Issued
December 2012
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Unglert, Carolin I et al. "Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography." Journal of Biomedical Optics 17.12 (2012): 126015. ©SPIE 2012
Version
Final published version
Abstract
Optical coherence tomography (OCT) has been increasingly used for imaging pulmonary alveoli. Only a few studies, however, have quantified individual alveolar areas, and the validity of alveolar volumes represented within OCT images has not been shown. To validate quantitative measurements of alveoli from OCT images, we compared the cross-sectional area, perimeter, volume, and surface area of matched subpleural alveoli from microcomputed tomography (micro-CT) and OCT images of fixed air-filled swine samples. The relative change in size between different alveoli was extremely well correlated (r > 0.9, P < 0.0001), but OCT images underestimated absolute sizes compared to micro-CT by 27% (area), 7% (perimeter), 46% (volume), and 25% (surface area) on average. We hypothesized that the differences resulted from refraction at the tissue–air interfaces and developed a ray-tracing model that approximates the reconstructed alveolar size within OCT images. Using this model and OCT measurements of the refractive index for lung tissue (1.41 for fresh, 1.53 for fixed), we derived equations to obtain absolute size measurements of superellipse and circular alveoli with the use of predictive correction factors. These methods and results should enable the quantification of alveolar sizes from OCT images in vivo.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/78671
DOI of Published Version
http://biomedicaloptics.spiedigitallibrary.org/article.aspx?articleid=1485572
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