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基于动脉成像的球囊血管成形术计算机预测

Computer prediction of balloon angioplasty from artery imaging.

作者信息

Laroche Denis, Delorme Sebastien, Anderson Todd, Buithieu Jean, DiRaddo Robert

机构信息

Industrial Materials Institute, Boucherville, QC, Canada.

出版信息

Stud Health Technol Inform. 2006;119:293-8.

PMID:16404065
Abstract

The success of angioplasty depends on a balance between two conflicting objectives: maximization of artery lumen patency and minimization of mechanical damage. A finite element model for the patient-specific prediction of angioplasty is proposed as a potential tool to assist clinicians. This paper describes the general methodology and the algorithm that computes device/artery friction work during balloon insertion and deployment. The potential of the model is demonstrated with examples that include artery model reconstruction and prediction of friction on the arterial wall during balloon insertion and deployment.

摘要

血管成形术的成功取决于两个相互矛盾目标之间的平衡

使动脉管腔通畅最大化和使机械损伤最小化。提出了一种用于血管成形术患者特异性预测的有限元模型,作为协助临床医生的潜在工具。本文描述了计算球囊插入和展开过程中装置/动脉摩擦功的一般方法和算法。通过包括动脉模型重建以及球囊插入和展开过程中动脉壁摩擦预测的示例,展示了该模型的潜力。

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