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

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: An, Yonga; b | Wang, Manninga; b; * | Song, Zhijiana; b; *

Affiliations: [a] Digital Medical Research Center, Shanghai Medical School, Fudan University, Shanghai, China | [b] Shanghai Key Laboratory of Medical Computing and Computer-Assisted Intervention, Shanghai, China

Correspondence: [*] Address for correspondence: Manning Wang, Digital Medical Research Center, Shanghai Medical School, Fudan University, Shanghai, China. Tel.: (021)54237181; Fax: (021)54237797; E-mail: [email protected]. Zhijian Song, Digital Medical Research Center, Shanghai Medical School, Fudan University, Shanghai, China. Tel.: (021)54237054; Fax: (021)54237797; E-mail: [email protected].

Keywords: Image-guided neurosurgery system, stereo vision, spatial registration, iterative closest point

DOI: 10.3233/BME-151391

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S967-S973, 2015

Published: 2015
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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.

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