In this work, we demonstrate the ability to image and quantify airway changes, edema, and epithelial layer separation using OCT and automated tissue boundary identification in the rabbit large airways as early as 30-minutes post-chlorine gas exposure. We propose this novel approach will enable further investigations into using OCT for pre-hospital and point-of-care diagnostics of large airway injury due to airway toxic chemical exposure. With enhanced portability over conventional bronchoscopy, we believe our system is capable of field hospital deployment and investigating airway conditions in warfighters. Combining OCT with bronchoscopy would enhance the assessment and treatment of large airway chemical injury.
Due to the multiple scattering of light in biomedical tissue, the imaging depth of conventional optical coherence tomography is limited to 1-2 millimeters. In this research, a reflection-matrix-method-based optical coherence tomography has been developed to extend the imaging depth into scattering medium. After obtaining the matrix, singular value decomposition and imaging reconstruction are carried out in the post-process to recover the target image beneath turbid media. Specifically, in order to speed up the matrix measurement and reduce the phase noises during the acquisition process, wide-field heterodyne detection is adopted in our system by using a high-speed lock-in camera.
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