Abstract
Transanal endoscopic microsurgery (TEM), i.e., the local excision of rectal carcinomas by way of a bimanual operating system with magnified binocular vision, is gaining acceptance in lieu of more radical total interventions. A major issue with this approach is the lack of information on submucosal anatomical structures. This paper presents an advanced navigation system, wherein the intraoperative 3D structure is stably estimated from multiple stereoscopic views. It is registered to a preoperatively acquired anatomical volume based on subject-specific priors. The endoscope motion is tracked based on the 3D scene and its field-of-view is visualised jointly with the preoperative information. Based on in vivo data, this paper demonstrates how the proposed navigation system provides intraoperative navigation for TEM.
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Keywords
- Minimally Invasive Surgery
- Transanal Endoscopic Microsurgery
- Endoscopic Image
- Endoscopic View
- Robotic Partial Nephrectomy
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Bergeles, C., Pratt, P., Merrifield, R., Darzi, A., Yang, GZ. (2014). Multi-view Stereo and Advanced Navigation for Transanal Endoscopic Microsurgery. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. MICCAI 2014. Lecture Notes in Computer Science, vol 8674. Springer, Cham. https://doi.org/10.1007/978-3-319-10470-6_42
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DOI: https://doi.org/10.1007/978-3-319-10470-6_42
Publisher Name: Springer, Cham
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