Abstract
Computer assisted navigation is a widely adopted technique in neurosurgery and orthopedics. In general, the used tracking systems are applicable to multiple situations. However, these general-purpose devices are costly and in case of unusual laboratory applications, a dedicated solution often shows a better performance. In this paper, we propose a cost-effective 3D navigation system for the augmented reality assisted brain tumor extraction in mice, used for cancer research. Off-the-shelf camera 3D reconstruction algorithms are used to individually track a target and a surgical tool. Relative to its costs, the experiments showed an excellent navigation error of \(0.48\,\mathrm{mm} \pm {0.25}\,\mathrm{mm}\).
Simone E. Hieber and Philippe C. Cattin shared last authorship.
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Acknowledgments
We would like to thank Bert Müller for his initiative and helpful discussions, Therese Bormann for her help in the container design and the 3D printing at the FHNW Muttenz, Mathias Griessen and Alex Seiler for their support in the software implementation, Sandra Burgi for preparing the murine brain, and Marco Dominietto for his useful feedback and the MRT measurements at the Animal Imaging Center of ETH Zurich.
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Schneider, A., Thalmann, P., Pezold, S., Hieber, S.E., Cattin, P.C. (2015). Augmented Reality Assisted Brain Tumor Extraction in Mice. In: De Paolis, L., Mongelli, A. (eds) Augmented and Virtual Reality. AVR 2015. Lecture Notes in Computer Science(), vol 9254. Springer, Cham. https://doi.org/10.1007/978-3-319-22888-4_19
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DOI: https://doi.org/10.1007/978-3-319-22888-4_19
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