对于EVAR规划和内部操作导航的减少订单模型
Monica Emendi1, Eirini Kardampiki2, Karen-Helene Støverud3
1Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico 1, Rome, 00133, Italy.
一个新的减少顺序模型 (ROM) 准确地预测了内血管动脉瘤修复 (EVAR) 期间的大动脉变形. 这种工具有助于手术规划和导航,可能减少患者的辐射和对比度暴露.
科学领域:
- 生物医学工程 生物医学工程
- 计算力学 计算力学 计算力学
- 医疗成像医学成像
背景情况:
- 内血管动脉瘤修复 (EVAR) 的规划和导航面临着由导线插入引起的大动脉变形带来的挑战.
- 需要一个快速,准确的预测工具来帮助临床决策和手术指导,潜在地降低辐射和对比剂量.
研究的目的:
- 开发一个减少顺序模型 (ROM) 来预测在EVAR期间的大动脉壁-导线相互作用.
- 在EVAR程序中创建一个用于术前规划和术内导航的工具.
主要方法:
- 通过对大动脉壁与导线相互作用的参数有限元模拟生成了减少顺序模型 (ROM).
- 设计实验 (DOE) 采用了300个场景和辐射基函数用于几何参数化. 在200个场景中训练了ROM,在100个场景中进行了验证.
主要成果:
- 开发的ROM估计了大动脉节位移,在验证情况下的相对误差低于5.5%.
- 大动脉弹性,导线硬度和腹腔动脉扭曲度被确定为最有影响力的参数.
结论:
- ROM提供了近乎实时的,准确的指导线诱导的大动脉位移的估计.
- 这种预测工具有望提高EVAR的手术前规划和手术内导航,使临床医生受益.
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