Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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J. Page Vizcaino, N. Rieke, D. J. Tan , F. Tombari, A. Eslami, N. Navab
Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery
Workshops Bildverarbeitung fuer die Medizin (BVM), Heidelberg, March 12-14, 2017. (bib)

Instrument tracking is a key step for various computer-aided interventions in retinal microsurgery. One of the bottlenecks of state- of-the-art template based algorithms is the (re-)initialization during the surgery. We propose an algorithm for robustly detecting the bounding box around the tool tip together with a failure detection of the tracking algorithm. Hereby, the user input dependent algorithm is transformed into a completely automatic framework without the need of an assistant. The performance was compared to two state-of-the-art methods.
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