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Visual‐electromagnetic system: A novel fusion‐based monocular localization, reconstruction, and measurement for flexible ureteroscopy
Author(s) -
Fu Zuoming,
Jin Ziyi,
Zhang Chongan,
Dai Yu,
Gao Xiaofeng,
Wang Zeyu,
Li Ling,
Ding Guoqing,
Hu Haiyi,
Wang Peng,
Ye Xuesong
Publication year - 2021
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2274
Subject(s) - ureteroscopy , imaging phantom , computer vision , artificial intelligence , computer science , trajectory , mean squared error , ureteroscope , medicine , orientation (vector space) , surgery , radiology , mathematics , physics , ureter , statistics , geometry , astronomy
Background During flexible ureteroscopy (FURS), surgeons may lose orientation due to intrarenal structural similarities and complex shape of the pyelocaliceal cavity. Decision‐making required after initially misjudging stone size will also increase the operative time and risk of severe complications. Methods A intraoperative navigation system based on electromagnetic tracking (EMT) and simultaneous localization and mapping (SLAM) was proposed to track the tip of the ureteroscope and reconstruct a dense intrarenal three‐dimensional (3D) map. Furthermore, the contour lines of stones were segmented to measure the size. Results Our system was evaluated on a kidney phantom, achieving an absolute trajectory accuracy root mean square error (RMSE) of 0.6 mm. The median error of the longitudinal and transversal measurements was 0.061 and 0.074 mm, respectively. The in vivo experiment also demonstrated the effectiveness. Conclusion The proposed system worked effectively in tracking and measurement. Further, this system can be extended to other surgical applications involving cavities, branches and intelligent robotic surgery.