基于近红外光谱的神经导航穿刺路径纠错方法研究

Study on Navigation Path Correction in Neuro-navigation Based on Near Infrared Spectroscopy

目前,无法校正脑组织移位带来的穿刺路径偏移问题,是影响神经外科手术导航精度的主要因素。本文提出一种基于近红外光谱(NIRS)技术的神经外科手术导航的新方法。利用NIRS光学参数和医学影像的关联特性,以穿刺轨迹的影像灰度信息作为先验知识,通过Hermite插值曲线计算路径采样点的曲率,并以平均Hausdorff距离为准则进行曲率特征段的匹配,建立手术路径的实时纠错模型。提出的模型算法简单,可实现偏移路径误差范围内的最佳匹配,为术中移位的实时纠正提供了一种有效的实现手段。

At present,navigation path deviation caused by brain shift is the main factor that affects the accuracy of neurosurgical navigation.A new method of near infrared spectroscopy（NIRS） based neurosurgical navigation is presented in the paper.The correlation between NIRS optical parameters and medical image is used and the gray information of navigation path is regarded as the priori knowledge,sample-points curvatures are calculated by Hermite interpolation and the Mean Hausdorff distance as measurement criterion is used to match feature segments,then the real-time correction model is established.The algorithm of the given model is simple and can realize the best match within the error,it provides an effective method for real-time navigation path correction.