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Visual‐electromagnetic system: A novel fusion‐based monocular localization, reconstruction, and measurement for flexible ureteroscopy

Zuoming Fu, Ziyi Jin, Chongan Zhang, Yu Dai, Xiaofeng Gao, Zeyu Wang, Ling Li, Guoqing Ding, Haiyi Hu, Peng Wang, Xuesong Ye

2021International Journal of Medical Robotics and Computer Assisted Surgery10 citationsDOI

Abstract

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.

Topics & Concepts

UreteroscopyImaging phantomComputer visionArtificial intelligenceComputer scienceTrajectoryMean squared errorURETEROSCOPEMedicineOrientation (vector space)SurgeryRadiologyMathematicsPhysicsUreterStatisticsAstronomyGeometryKidney Stones and Urolithiasis TreatmentsAugmented Reality ApplicationsPediatric Urology and Nephrology Studies