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Endoscope navigation with SLAM-based registration to computed tomography for transoral surgery
- Source :
- International Journal of Intelligent Robotics and Applications. 4:252-263
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Minimally invasive transoral surgery (TROS) aims to reduce the trauma and complications, where transoral examination with an endoscope is a vital step. Close to the critical head-neck-brain anatomical structures, the transoral procedures can be much complicated and pose significant challenges to accurate navigation requirements. Therefore, it is laborious for navigating endoscopic instruments due to the sophisticated anatomy. In this paper, we propose to use visual Simultaneous Localization and Mapping (SLAM) for endoscope navigation in an oral cavity. We create an intra-operative 3D point cloud registered to pre-operative computed tomography (CT) with the aid of semi-dense contour to enhance visualization. Moreover, we have validated our method in the phantom experiment. The corresponding navigation and registration accuracy are presented to validate the proposed approach.
- Subjects :
- Endoscope
medicine.diagnostic_test
Computer science
business.industry
0206 medical engineering
Anatomical structures
Point cloud
Computed tomography
02 engineering and technology
Simultaneous localization and mapping
020601 biomedical engineering
Imaging phantom
030218 nuclear medicine & medical imaging
Computer Science Applications
Visualization
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
medicine
Computer vision
Artificial intelligence
Transoral surgery
business
Subjects
Details
- ISSN :
- 2366598X and 23665971
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- International Journal of Intelligent Robotics and Applications
- Accession number :
- edsair.doi...........004408aba31ba58451601e1239c89f16
- Full Text :
- https://doi.org/10.1007/s41315-020-00127-2