微创人工耳蜗手术导航匹配算法研究
The Study on Navigation Matching Algorithm for Minimally Invasive Cochlear Surgery

微创人工耳蜗通道(Minimal Cochlear Access,MCA)是一种直接从颞骨的表面向内耳钻出隧道,然后在内耳植入耳蜗电极的手术治疗方式.相比于传统开放的耳蜗植入手术,MCA具有创伤小、耗时少、快速恢复及较少的并发症等优点.该手术的主要难点是要获取足够的精度,通常小于0.50 mm.该文对基于基准标志物的光学导航系统(Landmark-Based Optical Navigation System,LONS)的定量精度进行研究,通过不同的表面配准算法来获得稳定的精度.结果表明:在相同初始化条件下,颞骨模型匹配的目标配准误差(Target Registration Error,TRE)最小值为(0.16±0.01)mm.
Minimal cochlear access(MCA)is a tunnel that is drilled in advance from the surface of the temporal bone directly to the inner ear,and then inserting cochlear implant electrodes in the inner ear.DCA is advantageous over conventional cochlear implantation surgery in that it is little trauma,less time-consuming,fast recovery and less complication.The major challenge of this procedure is in the achievement of sufficient accuracy,typically less than 0.5 mm.The quantitative accuracy of our landmark-based optical navigation system is investigated by utilizing different surface-based registration algorithms for obtaining a steady accuracy.The results show that the best target registration error(TRE)of cadaver temporal bone is(0.16±0.01)mm in the same initialization conditions