A Fast Method of Virtual Stent Graft Deployment for Computer Assisted EVAR

Aymeric Pionteck (1, 2) , Baptiste Pierrat (1) , Sébastien Gorges (2) , Jean-Noël Albertini (1) , Stéphane Avril (1)

1 SAINBIOSE - Santé Ingénierie Biologie Saint-Etienne
2 THALES [France]

In this paper we introduce a new method simulating stent graft deployment for assisting endovascular repair of abdominal aortic aneurysms. The method relies on intraoperative images coupled with mechanical models. A multi-step algorithm has been developed to increase the reliability of simulations. The first step predicts the position of the stent graft within the aorta. The second step is an axisymmetric geometric reconstruction of each individual stent. The third step minimizes the rotation of each stent around its main axis. Finally, the last step virtually deploys each stent within a deployment box extracted from the preoperative CT scan. A proof of concept is performed on a patient. The accuracy is compatible with the clinical threshold of 3 mm: the average distance between target and simulated stents is 1.73 ± 0.37 mm. Fenestrations of the stent-graft are reconstructed with a maximum error of less than 2.5 mm, which is enables a secure catheterization of secondary arteries. In summary, the method is able to assist EVAR practitioners by providing all necessary information for a fast and accurate stent graft positioning, combining intraoperative data and a mechanical model in a very low cost framework.

Domaines: Biomécanique [physics.med-ph]

Aymeric Pionteck, Baptiste Pierrat, Sébastien Gorges, Jean-Noël Albertini, Stéphane Avril. A Fast Method of Virtual Stent Graft Deployment for Computer Assisted EVAR. Computational Biomechanics for Medicine, Springer International Publishing, pp.147-169, 2020, ⟨10.1007/978-3-030-42428-2_10⟩. ⟨hal-03141789⟩