A novel registration method for image-guided neurosurgery system based on stereo vision

作者：An Yong; Wang Manning^*; Song Zhijian

来源：Bio-medical Materials and Engineering, 2015, 26(s1): S967-S973.

DOI：10.3233/BME-151391

• Image-guided neurosurgery system
• stereo vision
• spatial registration
• iterative closest point

This study presents a novel spatial registration method of Image-guided neurosurgery system (IGNS) based on stereo-vision. Images of the patient's head are captured by a video camera, which is calibrated and tracked by an optical tracking system. Then, a set of sparse facial data points are reconstructed from them by stereo vision in the patient space. Surface matching method is utilized to register the reconstructed sparse points and the facial surface reconstructed from preoperative images of the patient. Simulation experiments verified the feasibility of the proposed method. The proposed method it is a new low-cost and easy-to-use spatial registration method for IGNS, with good prospects for clinical application.

• 出版日期2015
• 单位复旦大学