Larrabide Ignacio, Radaelli Alessandro, Frangi Alejandro
Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Barcelona, Spain.
Med Image Comput Comput Assist Interv. 2008;11(Pt 2):790-7. doi: 10.1007/978-3-540-85990-1_95.
Intracranial stents are medical devices that are becoming increasingly popular in the treatment of intracranial aneurysms. A methodology that predicts the released stent configuration prior to intervention has the potential to support the physician in the selection of the optimal approach for a specific patient. This paper proposes a fast virtual stenting technique based on constrained simplex deformable models that is able to virtually release stents in arbitrarily shaped vessel and aneurysm models. The technique effectively embeds the geometrical properties of the stent (cell design, strut size and shape and angles between struts) and achieves favorable execution times of the order of one minute.
颅内支架是在颅内动脉瘤治疗中越来越受欢迎的医疗设备。一种在介入前预测释放后支架形态的方法有潜力辅助医生为特定患者选择最佳治疗方案。本文提出了一种基于约束单纯形可变形模型的快速虚拟支架技术,该技术能够在任意形状的血管和动脉瘤模型中虚拟释放支架。该技术有效地嵌入了支架的几何特性(单元设计、支柱尺寸和形状以及支柱之间的角度),并实现了大约一分钟的良好执行时间。