虚拟内窥镜图像增强膝关节镜手术导航系统

doi:10.3969/j.issn.0258-8021.2019.05.006

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Abstract Knee arthroscopic surgery is a kind of minimally invasive surgery using endoscope, which is associated with small incisions and a shorter hospital stay. While in the meantime, arthroscopic surgery uses two dimensional image as visual guidance, thus brings the drawback of lacking depth information, getting blocked easily, counting on surgeon′s experience. Our research brought up an arthroscopic surgery guiding system based on virtual-vision technology with pre-operation imaging. Through this system, pre-operation image collaborated with intraoperative image, and thus made the surgery procedure more convenient and reliable. Virtual-vision rendering method was used for arthroscopic surgery guidance. The calibration procedure for the arthroscope and the registration procedure for the whole system were finished at first. Then the target of virtual rendering for the pre-operation imaging in corresponding viewing position was achieved, during which, real-time tracking for the arthroscope was essential. We set up the arthroscopic surgery guiding system based on external tracking information and pre-operation imaging. Software interface for the system was developed with computer vision rendering algorithm. A knee model experiment was conducted to validate the system, where the mean square error (MSE) for the calibration of tracking device was within 1 mm,and the MSE for the image fusion was below 0.7 mm, both the separate and fusion image for guidance was provided in real-time. The surgery guiding system described in this research could provide enhanced image guidance for knee arthroscopic surgery. Multi-source imaging was made good use in our system, which would provide the surgeons with direct and precise surgery guiding information.

Key words： virtual endoscopy knee arthroscopic surgery image-guided surgery intraoperative positioning

Received: 01 April 2019

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R318

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	Articles by authors
	Cui Xiwen
	Chen Fang
	Han Boxuan
	Ma Cong
	Ma Longfei
	Liao Hongen

Cite this article:

Cui Xiwen,Chen Fang,Han Boxuan, et al. Image-Guided Arthroscopic Surgery Based on Virtual Endoscopic Technology[J]. Chinese Journal of Biomedical Engineering, 2019, 38(5): 558-565.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2019.05.006 OR http://cjbme.csbme.org/EN/Y2019/V38/I5/558

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