Markerless inside-out tracking for 3D ultrasound compounding

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Abstract

Tracking of rotation and translation of medical instruments plays a substantial role in many modern interventions and is essential for 3D ultrasound compounding. Traditional external optical tracking systems are often subject to line-of-sight issues, in particular when the region of interest is difficult to access. The introduction of inside-out tracking systems aims to overcome these issues. We propose a marker-less tracking system based on visual SLAM to enable tracking of ultrasound probes in an interventional scenario. To achieve this goal, we mount a miniature multi-modal (mono, stereo, active depth) vision system on the object of interest and relocalize its pose within an adaptive map of the operating room. We compare state-of-the-art algorithmic pipelines and apply the idea to transrectal 3D ultrasound (TRUS). Obtained volumes are compared to reconstruction using a commercial optical tracking system as well as a robotic manipulator. Feature-based binocular SLAM is identified as the most promising method and is tested extensively in challenging clinical environments and for the use case of prostate US biopsies.

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Busam, B., Ruhkamp, P., Virga, S., Lentes, B., Rackerseder, J., Navab, N., & Hennersperger, C. (2018). Markerless inside-out tracking for 3D ultrasound compounding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11042 LNCS, pp. 56–64). Springer Verlag. https://doi.org/10.1007/978-3-030-01045-4_7

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