A novel registration method for image-guided neurosurgery system based on stereo vision.
A novel registration method for image-guided neurosurgery system based on stereo vision.
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DOI：
10.3233/bme-151391
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发表时间：
2015
影响因子：
1
通讯作者：
Yong An;Manning Wang;Zhijian Song
中科院分区：
文献类型：
--
作者：
Yong An;Manning Wang;Zhijian Song
本研究提出了一种基于立体视觉的图像引导神经外科系统（IGNS）的新型空间配准方法。摄像机捕获患者头部的图像，并由光学跟踪系统进行校准和跟踪。然后，通过患者空间中的立体视觉重建一组稀疏的面部数据点。利用表面匹配方法将重建的稀疏点与根据患者术前图像重建的面部表面进行配准。仿真实验验证了该方法的可行性。该方法是一种低成本、易于使用的IGNS空间配准新方法，具有良好的临床应用前景。
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.