Concept for high speed vocal cord imaging with swept-source optical coherence tomography

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Zabic, M.; Sharifpourboushehri, S.; Müller-Wirts, L.; Benecke, H.; Heisterkamp, A.; Meyer, H.; Ripken, T.: Concept for high speed vocal cord imaging with swept-source optical coherence tomography. In: Proceedings of SPIE 10853 (2019), 108530H. DOI:

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Optical coherence tomography (OCT) enables non-invasive depth-resolved investigation of laryngeal tissue. However, with conventional systems, OCT cross-sectional images of vibrating vocal cords always suffer from motion artifacts. This is the case even at low phonation frequencies of about 100 Hz. Motion artifacts of predictable repetitive movements can be avoided with carefully timed acquisitions. Irregular, non-repetitive movements, e.g. disturbed vocal cord vibration caused by laryngeal disorders, require different strategies, such as the use of high frame rates. We present a novel concept for dynamic vocal cord imaging with a high speed 1.6 MHz swept-source OCT system. Due to the high image rate, a graphics processing unit (GPU) based signal processing software has been developed in order to obtain real time OCT images. To demonstrate the feasibility of our approach on vibrating samples, we present a laboratory setup which includes a MHz swept source for OCT. To enable the transfer of our setup to clinical applications a concept for a curved rigid laryngoscope design, integrating the optical components for high-speed OCT, is proposed. Copyright © 2019 SPIE.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: conferenceObject
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Mathematik und Physik

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1 image of flag of Germany Germany 33 73.33%
2 image of flag of United States United States 6 13.33%
3 image of flag of China China 2 4.44%
4 image of flag of No geo information available No geo information available 1 2.22%
5 image of flag of Russian Federation Russian Federation 1 2.22%
6 image of flag of Korea, Republic of Korea, Republic of 1 2.22%
7 image of flag of Czech Republic Czech Republic 1 2.22%

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