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Preprints, Working Papers, ... (Preprint) Year : 2022

Development of decision support tools by model order reduction for active endovascular navigation

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Abstract

Endovascular therapies have grown significantly in the recent years. The first step is to reach the ares to treat. However, some trajectories are so-called complex (e.g. Supra-Aortic Trunks (SATs)). In order to facilitate the access to complex targets during catheterization, the French company BaseCamp Vascular (BCV) developed an active guidewire made of Shape Memory Alloy. Our study focused on the navigation of this device and associated catheters to treat neurovascular pathologies through the left carotid artery. For a given anatomy, two problems remain to be overcome: (i) to improve the design of the active guidewire by determining the number of actuators needed and their curvature and (ii) to propose navigation sequences maximizing the chances of accessing the areas to treat. In a previous study, a finite element model was developed to represent the navigation of the active guidewire and catheters from the aortic arch to the hooking of the left carotid artery of patient-specific aortas. Even if the model is able to represent both a particular design and navigation of the aforementioned tools, numerical simulations are time-consuming and cannot be used directly in the clinic routine to provide navigation assistance. Therefore, proofs of concept of numerical charts were developed in this study. Design as well as decision support tools have been developed, allowing to simulate in real-time the performance and the navigation of the active guidewire in a particular anatomy.
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Dates and versions

hal-03858565 , version 1 (17-11-2022)

Licence

Attribution - CC BY 4.0

Identifiers

  • HAL Id : hal-03858565 , version 1

Cite

Arif Badrou, Arnaud Duval, Jérôme Szewczyk, Raphaël Blanc, Nicolas Tardif, et al.. Development of decision support tools by model order reduction for active endovascular navigation. 2022. ⟨hal-03858565⟩
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