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血管内支架植入术治疗动脉瘤和狭窄的建模与可视化技术。

Modeling and visualization techniques for virtual stenting of aneurysms and stenoses.

机构信息

Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Comput Med Imaging Graph. 2012 Apr;36(3):183-203. doi: 10.1016/j.compmedimag.2011.12.002. Epub 2012 Jan 9.

DOI:10.1016/j.compmedimag.2011.12.002
PMID:22227385
Abstract

In this work, we present modeling and visualization techniques for virtual stenting of aneurysms and stenoses. In particular, contributions to support the computer-aided treatment of artery diseases - artery enlargement (aneurysm) and artery contraction (stenosis) - are made. If an intervention takes place, there are two different treatment alternatives for this kind of artery diseases: open surgery and minimally invasive (endovascular) treatment. Computer-assisted optimization of endovascular treatments is the main focus of our work. In addition to stent simulation techniques, we also present a computer-aided simulation of endoluminal catheters to support the therapy-planning phase. The stent simulation is based on a three-dimensional Active Contour Method and is applicable to both non-bifurcated (I-stents) and bifurcated stents (Y-stents). All methods are introduced in detail and are evaluated with phantom datasets as well as with real patient data from the clinical routine. Additionally, the clinical prototype that is based upon these methods is described.

摘要

在这项工作中,我们提出了用于虚拟血管瘤和狭窄支架的建模和可视化技术。特别是,我们做出了一些贡献来支持动脉疾病(动脉扩张(瘤)和动脉收缩(狭窄))的计算机辅助治疗。如果进行干预,对于这种类型的动脉疾病有两种不同的治疗选择:开放性手术和微创(血管内)治疗。计算机辅助优化血管内治疗是我们工作的主要重点。除了支架模拟技术外,我们还提出了一种腔内导管的计算机辅助模拟,以支持治疗计划阶段。支架模拟基于三维主动轮廓方法,适用于非分叉(I 支架)和分叉支架(Y 支架)。所有方法都进行了详细介绍,并使用体模数据集以及来自临床常规的真实患者数据进行了评估。此外,还描述了基于这些方法的临床原型。

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Comput Med Imaging Graph. 2012 Apr;36(3):183-203. doi: 10.1016/j.compmedimag.2011.12.002. Epub 2012 Jan 9.
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引用本文的文献

1
Fast Virtual Stenting with Active Contour Models in Intracranical Aneurysm.颅内动脉瘤中基于活动轮廓模型的快速虚拟支架置入术
Sci Rep. 2016 Feb 15;6:21724. doi: 10.1038/srep21724.