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

Arif Badrou (1) , Arnaud Duval (1) , Jérôme Szewczyk (2) , Raphaël Blanc (3) , Nicolas Tardif (1) , Nahiene Hamila (4) , Anthony Gravouil (1) , Aline Bel-Brunon (1)

1 LaMCoS - Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne]
2 ISIR - Institut des Systèmes Intelligents et de Robotique
3 Hôpital de la Fondation Ophtalmologique Adolphe de Rothschild [AP-HP]
4 IRDL - Institut de Recherche Dupuy de Lôme

Endovascular therapies consist in treating vascular pathologies mini-invasively by inserting long tools towards the area to treat. However, some trajectories are so-called complex (e.g. Supra-Aortic Trunks (SATs)). In order to facilitate the access to complex targets by catheterization, an active guidewire made of Shape Memory Alloy has been developed. Our study focuses on the navigation of this device and associated catheters towards neurovascular targets through the left carotid artery. In a previous study, a finite element model was developed to simulate the navigation of the active guidewire and catheters from the aortic arch to the hooking of the left carotid artery of patient-specific aortas. However, numerical simulations are time-consuming and cannot be used directly in the clinic routine to provide navigation assistance. We present in this study the development of numerical charts aiming to provide a real-time computation, based on high-fidelity FE simulations, of: 1. the behaviour of the active guidewire; 2. the navigation of the active guidewire and associated catheters within a given anatomy for specific guidewire and navigation parameters. These charts are developed using the HOPGD method and demonstrate their ability to provide an accurate real-time response from a limited number of preliminary high-fidelity computations.

Mots clés: Model Order Reduction; Numerical chart; Endovascular; Catheters; Guidewire; Aorta

Domaines: Biomécanique [physics.med-ph]; Ingénierie biomédicale; Cardiologie et système cardiovasculaire

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-03858565v2⟩