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基于有限元的术前和术中数据匹配用于血管内动脉瘤修复的图像引导。

Finite-element-based matching of pre- and intraoperative data for image-guided endovascular aneurysm repair.

机构信息

LTSI-INSERM U1099, Université de Rennes 1, Rennes F-35000, France.

出版信息

IEEE Trans Biomed Eng. 2013 May;60(5):1353-62. doi: 10.1109/TBME.2012.2235440. Epub 2012 Dec 20.

DOI:10.1109/TBME.2012.2235440
PMID:23269745
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3998907/
Abstract

Endovascular repair of abdominal aortic aneurysms is a well-established technique throughout the medical and surgical communities. Although increasingly indicated, this technique does have some limitations. Because intervention is commonly performed under fluoroscopic control, 2-D visualization of the aneurysm requires the injection of a contrast agent. The projective nature of this imaging modality inevitably leads to topographic errors, and does not give information on arterial wall quality at the time of deployment. A specially adapted intraoperative navigation interface could increase deployment accuracy and reveal such information, which preoperative 3-D imaging might otherwise provide. One difficulty is the precise matching of preoperative data (images and models) and intraoperative observations affected by anatomical deformations due to tool-tissue interactions. Our proposed solution involves a finite-element-based preoperative simulation of tool-tissue interactions, its adaptive tuning regarding patient specific data, and the matching with intraoperative data. The biomechanical model was first tuned on a group of ten patients and assessed on a second group of eight patients.

摘要

血管内修复腹主动脉瘤在医学和外科学领域是一种成熟的技术。尽管这种技术的应用越来越多,但它确实存在一些局限性。由于介入治疗通常是在透视控制下进行的,因此需要注射造影剂才能对动脉瘤进行 2-D 可视化。这种成像方式的投影性质不可避免地会导致地形误差,并且在部署时无法提供关于动脉壁质量的信息。专门设计的术中导航界面可以提高部署的准确性,并提供术前 3-D 成像可能无法提供的信息。一个困难是如何精确匹配术前数据(图像和模型)和术中观察,因为工具-组织相互作用会导致解剖变形。我们提出的解决方案涉及基于有限元的术前工具-组织相互作用模拟,针对患者特定数据的自适应调整,以及与术中数据的匹配。该生物力学模型首先在一组 10 名患者上进行调整,并在第二组 8 名患者上进行评估。

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