Paper
19 February 2010 In vivo early detection of smoke-induced airway injury using 3-dimensional swept source optical coherence tomography
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Abstract
We report on the feasibility of rapid, high resolution, 3-dimensional swept source optical coherence tomography (3D 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 (MEMS) motor based endoscope. Real-time 2-D data processing and image display at the speed of 20 frames per second are achieved by adopting the technique of shared-memory parallel computing. Longitudinal images are reconstructed via an image processing algorithm to remove motion artifacts caused by ventilation and pulse. We demonstrate the ability of the SSOCT system to detect increases in tracheal and bronchial airway thickness that occurs shortly after smoke exposure.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiechen Yin, Gangjun Liu, Jun Zhang, Lingfeng Yu, Sari Mahon, David Mukai, Matthew Brenner, and Zhongping Chen "In vivo early detection of smoke-induced airway injury using 3-dimensional swept source optical coherence tomography", Proc. SPIE 7554, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIV, 755408 (19 February 2010); https://doi.org/10.1117/12.841346
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Optical coherence tomography

Injuries

Image processing

3D image processing

Microelectromechanical systems

Reconstruction algorithms

3D image reconstruction

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