首页 | 本学科首页   官方微博 | 高级检索  
     

基于线弹性模型的脑组织变形矫正系统的初始临床验证
引用本文:Zhu L,Zhang C. 基于线弹性模型的脑组织变形矫正系统的初始临床验证[J]. 生物医学工程学杂志, 2012, 29(1): 7-11
作者姓名:Zhu L  Zhang C
作者单位:复旦大学数字医学研究中心;上海市医学图像处理与计算机辅助手术重点实验室
基金项目:国家863高科技计划项目资助(2009AA02Z415);国家自然科学基金资助项目(81101129)
摘    要:
为了提高神经外科手术导航系统(IGNS)的精确度,我们提出了一个基于线弹性模型的脑组织变形矫正系统(BDCS)来预测脑变形误差。在本文的研究中,通过两例肿瘤切除手术病例对本系统的精确度进行验证。使用该系统后,开颅后脑组织的平均位移误差由(4.97±3.53)mm降至(1.00±0.63)mm,平均预测率为(72.27±20.37)%。实验表明,该系统操作方便,快速,预测精度较高,是一种非常有希望应用于临床来矫正脑组织变形的方法。

关 键 词:神经外科手术导航系统  脑变形  线弹性模型

A preliminary clinical validation of a brain deformation corrective system based the linear elastic model
Zhu Lian,Zhang Chenxi. A preliminary clinical validation of a brain deformation corrective system based the linear elastic model[J]. Journal of biomedical engineering, 2012, 29(1): 7-11
Authors:Zhu Lian  Zhang Chenxi
Affiliation:Digital Medical Research Centre, Fudan University, Shanghai 200032, China.
Abstract:
In order to increase the accuracy of image guided neurosurgery (IGNS), we developed a brain deformation corrective system (BDCS) based on linear elastic model. To investigate the fidelity of such a system, two cases of cerebral tumor resection were conducted in our paper. According to our experiments, the average shift error after craniotomy was reduced to (1.00 +/- 0.63)mm from (4. 97 +/- 3. 53)mm and the average prediction rate was (72.27 +/- 20.37)%. The results showed that the system was convenient and fast to operate and presented a promising pathway to compensating for brain deformation during neurosurgery.
Keywords:Image guided neurosurgery(IGNS)  Brain deformation  Linear elastic model
本文献已被 CNKI PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号