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作 者:庄冬晓[1] 刘翌勋[2] 吴劲松[1] 姚成军[1] 宋志坚[2] 朱海华[2] 章琛曦[2] 王满宁[2] 王伟[2] 周良辅[1]
机构地区:[1]复旦大学附属华山医院神经外科,上海市神经外科临床医学中心,200040 [2]复旦大学数字医学研究中心
出 处:《中华神经外科杂志》2008年第10期783-786,共4页Chinese Journal of Neurosurgery
基 金:国家自然科学基金面上项目(30600639);上海市科委基础处重点项目(04JC14022)
摘 要:目的纠正神经导航手术中的脑组织变形,提高导航手术的精确性。方法通过有限元方法,构建猪脑组织的线弹性模型。在开颅手术中,通过三维激光扫描获取脑皮层表面的变形,以此作为边界条件,驱动模型,模拟全脑变形情况。并以植入猪脑内的聚甲基丙烯酸甲酯微粒为标志点,通过术中实时磁共振扫描获得的脑组织实际变形数据对该模型进行验证。结果该模型的预测误差0.20~1.54mm,平均(0.97±0.44)mm;校正精度56.5%~90.0%,平均(68.0±9.6)%。其中对浅表标志点位移的校正精度高于对深部标志点位移的校正精度[(70.7±9.1)%:(65.4±10.8)%,P〈0.05]。结论模型校正技术是一种简便、快速、可靠的纠正术中脑变形的途径。Objictive To compensate for the iutraoperative brain deformation for the purpose of increasing the accuracy of neurosurgical navigation. Methods A linear elastic model of porcine brain based on finite element method ( FEM ) was established. After craniotomy in swine, the deformation of cortical surface was tracked by a 3D laser range scanner (LRS) as a boundary condition. This boundary condition was then applied on the finite element equation to simulate the entire brain deformation. Polymethyl methacrylate (PMMA) beads were implanted into the porcine brain as markers of tissue shift, and the predictive accuracy of the model was validated by the real-time data of brain deformation acquired by MR imaging during operation. Results The predictive error of this model ranged from 0.20 to 1.54mm, ( mean 0.97 ±0.44 mm). The accuracy of calibration ranged from 56.5% to 90.0% (mean 68.0 ±9.6% ). The predictive accuracy on the displacement of superficial markers was higher than that of deeper markers ( 70.7±9.1% : 65.4 ± 10.8%, P 〈 0.05 ). Conclusions Model-updated image was proved to be efficient, convenient, and reliable in animal research, therefore, it is an ideal approach to compensate for the brain deformation during neurosurgical navigation.
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