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Effective calibration of an endoscope to an optical tracking system for medical augmented reality

Title
Effective calibration of an endoscope to an optical tracking system for medical augmented reality
Authors
Lee, SeongpungLee, HyunkiChoi, HyunseokJeon, SangseoHong, Jaesung
DGIST Authors
Lee, Seongpung; Lee, Hyunki; Choi, Hyunseok; Jeon, Sangseo; Hong, Jaesung
Issue Date
2017
Citation
Cogent Engineering, 4(1)
Type
Article
Article Type
Article
ISSN
2331-1916
Abstract
Background: We investigated the methods of calibrating an endoscope to an optical tracking system (OTS) for high accuracy augmented reality (AR)-based surgical navigation. We compared the possible calibration methods, and suggested the best method in terms of accuracy and speed in a medical environment. Material and methods: A calibration board with an attached OTS marker was used to acquire the pose data of the endoscope for the calibration. The transformation matrix from the endoscope to the OTS marker was calculated using the data. The calibration was performed by moving either the board or the endoscope in various placements. The re-projection error was utilized for evaluating the matrix. Results: From the statistical analysis, the method of moving the board was significantly more accurate than the method of moving the endoscope (p < 0.05). This difference resulted mainly from the uneven error distribution in the OTS measurement range and also the hand tremor in holding the endoscope. Conclusions: To increase the accuracy of AR, camera-to-OTS calibration should be performed by moving the board, and the board and the endoscope should be as close as possible to the OTS. This finding can contribute to improving the visualization accuracy in AR-based surgical navigation. © 2017 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
URI
http://hdl.handle.net/20.500.11750/4455
DOI
10.1080/23311916.2017.1359955
Publisher
Cogent OA
Files:
There are no files associated with this item.
Collection:
Robotics EngineeringSurgical Robotics Lab1. Journal Articles
Division of IoT∙Robotics Convergence Research1. Journal Articles


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