Automatic initialization and failure detection for surgical tool tracking in retinal microsurgery
Vizcaíno JP, Rieke N, Tan DJ, Tombari F, Eslami A, Navab N (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Kluwer Academic Publishers
Pages Range: 346-351
Conference Proceedings Title: Informatik aktuell
Event location: Heidelberg, DEU
ISBN: 9783662543443
DOI: 10.1007/978-3-662-54345-0_78
Abstract
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.
Involved external institutions
Germany (DE)How to cite
APA:
Vizcaíno, J.P., Rieke, N., Tan, D.J., Tombari, F., Eslami, A., & Navab, N. (2017). Automatic initialization and failure detection for surgical tool tracking in retinal microsurgery. In Klaus Hermann Maier-Hein, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 346-351). Heidelberg, DEU: Kluwer Academic Publishers.
MLA:
Vizcaíno, Josué Page, et al. "Automatic initialization and failure detection for surgical tool tracking in retinal microsurgery." Proceedings of the Workshops on Image processing for the medicine, 2017, Heidelberg, DEU Ed. Klaus Hermann Maier-Hein, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff, Kluwer Academic Publishers, 2017. 346-351.
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