Paper
31 March 2014 Constructing 3D models of the pediatric upper airway from long range optical coherence tomography images
Tony D. Nguyen, Erica Su, Frances Lazarow, F. Carter Wheatley, Anthony Chin-Loy, Alex Wang, Dimitry Protsenko, Gurpreet S. Ahuja, Zhongping Chen, Brian J-F. Wong M.D.
Author Affiliations +
Proceedings Volume 8926, Photonic Therapeutics and Diagnostics X; 89262L (2014) https://doi.org/10.1117/12.2052971
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
Long-range optical coherence tomography has been developed to image the upper airway, obtaining high resolution, cross-sectional images of the hollow structure. The information obtained from the anatomical structure of the airway is important to objectively identify regions of airway obstruction. This paper describes a technique to create 3D reconstructions of the upper airway from LR-OCT images. Herein we outline the necessary steps to generate these 3D models, including image processing techniques, manual tissue segmentation in Mimics, anatomical curvature bending, and the final STL model rendition. These 3D models were used to qualitatively analyze structural changes before and after surgical interventions. The reconstructions could also be used for further computational fluid dynamics analysis.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tony D. Nguyen, Erica Su, Frances Lazarow, F. Carter Wheatley, Anthony Chin-Loy, Alex Wang, Dimitry Protsenko, Gurpreet S. Ahuja, Zhongping Chen, and Brian J-F. Wong M.D. "Constructing 3D models of the pediatric upper airway from long range optical coherence tomography images", Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 89262L (31 March 2014); https://doi.org/10.1117/12.2052971
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Cited by 4 scholarly publications.
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KEYWORDS
3D modeling

Tissues

Image segmentation

Optical coherence tomography

3D image processing

Image processing

Image quality

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