Presentation + Paper
29 March 2024 Motion-compensated OCT imaging of laryngeal tissue
Sarah Latus, Marica Kulas, Johanna Sprenger, Debayan Bhattacharya, Philippe C. Breda, Lukas Wittig, Tim Eixmann, Gereon Hüttmann, Lennart Maack, Dennis Eggert, Christian Betz, Alexander Schlaefer
Author Affiliations +
Abstract
The increasing incidence of laryngeal carcinomas requires approaches for early diagnosis and treatment. In clinical practice, white light endoscopy of the laryngeal region is typically followed by biopsy under general anesthesia. Thus, image based diagnosis using optical coherence tomography (OCT) has been proposed to study sub-surface tissue layers at high resolution. However, accessing the region of interest requires robust miniature OCT probes that can be forwarded through the working channel of a laryngoscope. Typically, such probes generate A-scans, i.e., single column depth images, which are rather difficult to interpret. We propose a novel approach using the endoscopic camera images to spatially align these A-scans. Given the natural tissue motion and movements of the laryngoscope, the resulting OCT images show a three-dimensional representation of the sub-surface structures, which is simpler to interpret. We present the overall imaging setup and the motion tracking method. Moreover, we describe an experimental setup to assess the precision of the spatial alignment. We study different tracking templates and report root-mean-squared errors of 0.08mm and 0.18mm for sinusoidal and freehand motion, respectively. Furthermore, we also demonstrate the in-vivo application of the approach, illustrating the benefit of spatially meaningful alignment of the A-scans to study laryngeal tissue.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Sarah Latus, Marica Kulas, Johanna Sprenger, Debayan Bhattacharya, Philippe C. Breda, Lukas Wittig, Tim Eixmann, Gereon Hüttmann, Lennart Maack, Dennis Eggert, Christian Betz, and Alexander Schlaefer "Motion-compensated OCT imaging of laryngeal tissue", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 1292809 (29 March 2024); https://doi.org/10.1117/12.3006729
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KEYWORDS
Optical coherence tomography

Tissues

Endoscopy

In vivo imaging

Image filtering

Image analysis

Visualization

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