Open Access
12 December 2012 Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography
Carolin I. Unglert, William C. Warger II, Jeroen Hostens, Eman Namati, Reginald Birngruber, Brett E. Bouma, Guillermo J. Tearney M.D.
Author Affiliations +
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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Carolin I. Unglert, William C. Warger II, Jeroen Hostens, Eman Namati, Reginald Birngruber, Brett E. Bouma, and Guillermo J. Tearney M.D. "Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography," Journal of Biomedical Optics 17(12), 126015 (12 December 2012). https://doi.org/10.1117/1.JBO.17.12.126015
Published: 12 December 2012
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Optical coherence tomography

Tissues

Image segmentation

Refractive index

Lung

Refraction

3D modeling

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