[1]周朝政,谢 叻.微创人工耳蜗手术导航匹配算法研究[J].江西师范大学学报(自然科学版),2017,(04):344-347.
　ZHOU Chaozheng,XIE Le.The Study on Navigation Matching Algorithm for Minimally Invasive Cochlear Surgery[J].Journal of Jiangxi Normal University:Natural Science Edition,2017,(04):344-347.
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微创人工耳蜗手术导航匹配算法研究()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年04期
页码:
344-347
栏目:
出版日期:
2017-09-01

文章信息/Info

Title:
The Study on Navigation Matching Algorithm for Minimally Invasive Cochlear Surgery
作者:
周朝政; 谢 叻
1.上海交通大学国家数字化制造技术中心,上海 200030; 2.上海交通大学生物医学工程学院,上海 200030
Author(s):
ZHOU Chaozheng; XIE Le
1.National Digital Manufacturing Technology Center,Shanghai Jiao Tong University,Shanghai 200030,China; 2.School of Biomedical Engineering,Shanghai Jiao Tong University,Shanghai 200030,China
关键词:
微创人工耳蜗通道;  表面匹配;  迭代最近点算法
Keywords:
minimal cochlear access;  surface matching;  iterative closet point algorithm(ICP)
分类号:
TP 391.9
文献标志码:
A
摘要:
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.
Abstract:
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.

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备注/Memo

备注/Memo:
收稿日期:2017-03-10基金项目:国家自然科学基金重大课题(61190124; 61190120),国家自然科学基金面上(61672341)和上海市科委(14441900800)资助项目.通信作者:谢 叻(1964-),男,江西南昌人,教授,博士生导师,主要从事虚拟现实技术、数学化制造技术和手术机器人技术的研究.E-mail:lexie@sjtu.edu.cn
更新日期/Last Update: 1900-01-01