EVAR 期间的主动脉路线图:FEM-EM 联合追踪可行性研究。

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL
Monica Emendi, Geir A Tangen, Pierluigi Di Giovanni, Håvard Ulsaker, Reidar Brekken, Frode Manstad-Hulaas, Victorien Prot, Aline Bel-Brunon, Karen H Støverud
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引用次数: 0

摘要

目的:目前,血管内动脉瘤修补术(EVAR)的术中血管可视化主要依赖于造影剂成像模式。此外,传统的图像融合技术缺乏对血管结构的连续自动更新,而血管结构会因插入坚硬的导丝而发生变化。这项工作的目的是结合电磁(EM)跟踪技术和有限元建模(FEM),开发并评估一种考虑到变形的新型图像融合方法:方法:为了评估电磁追踪是否能提高数值模拟的预测效果,我们分割并制作了一个患者专用的腹主动脉模型。建立了不同插入角度的模拟数据库。然后,设计了一个带有三个嵌入式电磁传感器的临时传感器化工具,以便在插入阶段跟踪传感器的位置。最后,采集并处理相应的锥形束计算机断层扫描(CBCT)图像,以获得制造模型的主动脉变形地面实况:结果:在数据库中的模拟结果中,传感器位置硅学与体外差异最小的模拟结果得到了最准确的主动脉位移结果:结论:所提出的方法表明,电磁跟踪技术不仅可用于跟踪工具,还可将主动脉路线图预测的误差降至最低,从而为更安全的 EVAR 导航铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Aortic roadmapping during EVAR: a combined FEM-EM tracking feasibility study.

Aortic roadmapping during EVAR: a combined FEM-EM tracking feasibility study.

Purpose: Currently, the intra-operative visualization of vessels during endovascular aneurysm repair (EVAR) relies on contrast-based imaging modalities. Moreover, traditional image fusion techniques lack a continuous and automatic update of the vessel configuration, which changes due to the insertion of stiff guidewires. The purpose of this work is to develop and evaluate a novel approach to improve image fusion, that takes into account the deformations, combining electromagnetic (EM) tracking technology and finite element modeling (FEM).

Methods: To assess whether EM tracking can improve the prediction of the numerical simulations, a patient-specific model of abdominal aorta was segmented and manufactured. A database of simulations with different insertion angles was created. Then, an ad hoc sensorized tool with three embedded EM sensors was designed, enabling tracking of the sensors' positions during the insertion phase. Finally, the corresponding cone beam computed tomography (CBCT) images were acquired and processed to obtain the ground truth aortic deformations of the manufactured model.

Results: Among the simulations in the database, the one minimizing the in silico versus in vitro discrepancy in terms of sensors' positions gave the most accurate aortic displacement results.

Conclusions: The proposed approach suggests that the EM tracking technology could be used not only to follow the tool, but also to minimize the error in the predicted aortic roadmap, thus paving the way for a safer EVAR navigation.

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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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