Optical design and simulation of an integrated OCT and video rigid laryngoscope

Autor:	Kang Jiajing, Xinyu Li, Shanshan Liang, Jiahui Wang, Jun Zhang, Mingming Wan
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Materials science optical coherence tomography medicine.diagnostic_test business.industry lcsh:T Biomedical Engineering Medicine (miscellaneous) 01 natural sciences lcsh:Technology Atomic and Molecular Physics and Optics 030218 nuclear medicine & medical imaging Electronic Optical and Magnetic Materials 010309 optics 03 medical and health sciences rigid endoscope 0302 clinical medicine Optics Optical coherence tomography Rigid endoscope 0103 physical sciences medicine lcsh:QC350-467 business integrated laryngoscope lcsh:Optics. Light
Zdroj:	Journal of Innovative Optical Health Sciences, Vol 13, Iss 3, Pp 2040002-1-2040002-11 (2020)
ISSN:	1793-7205 1793-5458
DOI:	10.1142/S1793545820400027
Popis:	An integrated optical coherence tomography (OCT) and video rigid laryngoscope have been designed to acquire surface and subsurface tissue images of larynx simultaneously. The dual-modality system that is based on a common-path design with components as few as possible effectively maintains the light transmittance without compromising the imaging quality. In this paper, the field of view (FOV) of the system can reach [Formula: see text] by use of a gradient index (GRIN) lens as the relay element and a four-lens group as the distal objective, respectively. The simulation showed that the modulation transfer function (MTF) value in each FOV of the rigid video endoscope at 160[Formula: see text]lp/mm is greater than 0.1 while the root mean square (RMS) radii of the OCT beam in the center and edge of the FOV are 14.948[Formula: see text][Formula: see text]m and 73.609[Formula: see text][Formula: see text]m, respectively. The resolutions of both OCT and video endoscope meet the requirement of clinical application. In addition, all the components of the system are spherical, therefore the system can be of low cost and easy to assemble.
Databáze:	OpenAIRE
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