Feasibility of a markerless tracking system based on optical coherence tomography

Matthias Schlüter; Christoph Otte; Thore Saathoff; Nils Gessert; Alexander Schlaefer

doi:10.1117/12.2512178

8 March 2019 Feasibility of a markerless tracking system based on optical coherence tomography

Matthias Schlüter, Christoph Otte, Thore Saathoff, Nils Gessert, Alexander Schlaefer

Proceedings Volume 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling; 1095107 (2019) https://doi.org/10.1117/12.2512178
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Clinical tracking systems are popular but typically require specific tracking markers. During the last years, scanning speed of optical coherence tomography (OCT) has increased to A-scan rates above 1MHz allowing to acquire volume scans of moving objects. Therefore, we propose a markerless tracking system based on OCT to obtain small volumetric images including information of sub-surface structures at high spatio-temporal resolution. In contrast to conventional vision based approaches, this allows identifying natural landmarks even for smooth and homogeneous surfaces. We describe the optomechanical setup and process ow to evaluate OCT volumes for translations and accordingly adjust the position of the field-of-view to follow moving samples. While our current setup is still preliminary, we demonstrate tracking of motion transversal to the OCT beam of up to 20mms􀀀1 with errors around 0:2mm and even better for some scenarios. Tracking is evaluated on a clearly structured and on a homogeneous phantom as well as on actual tissue samples. The results show that OCT is promising for fast and precise tracking of smooth, monochromatic objects in medical scenarios.

Conference Presentation

Citation Download Citation

Matthias Schlüter, Christoph Otte, Thore Saathoff, Nils Gessert, and Alexander Schlaefer "Feasibility of a markerless tracking system based on optical coherence tomography", Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 1095107 (8 March 2019); https://doi.org/10.1117/12.2512178

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