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Conference paper

Ultrahigh resolution optical coherence tomography for detecting tissue abnormalities of the oral and laryngeal mucosa: A preliminary study

In Proceedings of 11<sup>th</sup> International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications — 2019, pp. 195-198

Edited by Manfredi, Claudia

From

Department of Photonics Engineering, Technical University of Denmark1

Fiber Sensors & Supercontinuum, Department of Photonics Engineering, Technical University of Denmark2

University of Copenhagen3

International Biographical Centre4

Optical coherence tomography (OCT) is an imaging technology that provides cross-sectional images without biopsy of subsurface tissue structure at approximately 10 micrometer resolution to a depth of 1,5 mm using backscattered light from the tissue. OCT has shown promising in imaging normal upper airways and in various disorders.

The use of OCT to image the upper airways during diagnosis and treatment of a vast array of disorders continues to develop along with innovative surgical techniques, of patients in anesthesia. Monitoring the benign cellular and molecular events resulting in e.g. edema, in the clinic online is of great interest.

There is a need to get information in the clinic about the normal histology of functioning mucosa compared with disorders causing edema especially at the inflammatory process level. The main interesting point is to find out whether it is related to infection, acid reflux, allergy or a fourth condition.

Long-range OCT using Doppler OCT is providing useful clinical applications for diagnostic and therapeutic laryngeal procedures of the vocal folds (1). Till now a probe for oral examination of the mucosa with ultrahigh resolution OCT has been established.

Language: English
Publisher: Firenze University Press
Year: 2019
Pages: 195-198
Proceedings: 11<sup>th</sup> International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications
ISBN: 8864539611 and 9788864539614
Types: Conference paper
ORCIDs: Israelsen, Niels Møller and Jensen, Mikkel

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