Title :
Attitude tracking using an integrated inertial and optical navigation system for hand-held surgical instruments
Author :
Hyun-Min Oh ; Min-Young Kim
Author_Institution :
Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
Navigation devices are essential components for Image Guided Surgeries(IGS). The optical navigation system has been widely used to guide surgical tools in image-based navigation surgery due to its easy usage and high accuracy. However, optical tracking becomes frequently blind when its line-of-sight between the cameras and the optical markers is occluded. In this paper, a sensor fusion system with inertial navigation and optical navigation systems is proposed to estimate the attitude of surgical tools with markers in spite of optical occlusion situations. Specially, sensor fusion algorithms based on Extended Kalman Filter and sensor calibration algorithms are proposed. To resolve an axis alignment problem between optical tracker and IMU sensor, a coordinate axis calibration method are presented. A series of experimental results shows its effectiveness under optical occlusion.
Keywords :
Kalman filters; image fusion; image sensors; inertial navigation; medical image processing; surgery; IGS; IMU sensor; attitude estimation; attitude tracking; coordinate axis calibration method; extended Kalman filter; hand-held surgical instruments; image guided surgery; image-based navigation surgery; inertial navigation system; optical navigation system; optical occlusion; sensor calibration algorithm; sensor fusion system; Calibration; Robot sensing systems; Surgery; Image-guided Navigation Surgery; Inertial Navigation System; Kalman Filter; Optical Navigation System; Sensor Fusion;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9932-1506-9
DOI :
10.1109/ICCAS.2014.6988005