Open Access
1 November 2009 In vivo early detection of smoke-induced airway injury using three-dimensional swept-source optical coherence tomography
Jiechen Yin, Gangjun Liu, Jun Zhang, Lingfeng Yu, Sari B. Mahon, David Sho Mukai, Matthew Brenner M.D., Zhongping Chen
Author Affiliations +
Abstract
We report on the feasibility of rapid, high-resolution, 3-D swept-source optical coherence tomography (SSOCT) to detect early airway injury changes following smoke inhalation exposure in a rabbit model. The SSOCT system obtains 3-D helical scanning using a microelectromechanical system motor-based endoscope. Real-time 2-D data processing and image display at the speed of 20 frames/s are achieved by adopting the technique of parallel computing. Longitudinal images are reconstructed via an image processing algorithm to remove motion artifacts caused by ventilation and pulse. Quantitative analyses of tracheal airway thickness as well as thickness distribution along tracheal circumference are also performed based on the comprehensive 3-D volumetric data.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jiechen Yin, Gangjun Liu, Jun Zhang, Lingfeng Yu, Sari B. Mahon, David Sho Mukai, Matthew Brenner M.D., and Zhongping Chen "In vivo early detection of smoke-induced airway injury using three-dimensional swept-source optical coherence tomography," Journal of Biomedical Optics 14(6), 060503 (1 November 2009). https://doi.org/10.1117/1.3268775
Published: 1 November 2009
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Cited by 25 scholarly publications.
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KEYWORDS
Optical coherence tomography

3D image processing

Injuries

Microelectromechanical systems

Cartilage

3D image reconstruction

Reconstruction algorithms

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