Finite-element-based matching of pre- and intraoperative data for image-guided endovascular aneurysm repair.

Aurélien Dumenil 1 Adrien Kaladji 1 Miguel Castro 1 Simon Esneault 2 Antoine Lucas 1, 3, 4 Michel Rochette 5 Cemil Goksu 2 Pascal Haigron 1, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Therenva SAS
3 Service de chirurgie thoracique cardiaque et vasculaire [Rennes]
4 CIC-IT Rennes
5 ANSYS France
Abstract : Endovascular repair of abdominal aortic aneurysms is a well-established technique throughout the medical and surgical communities. Although increasingly indicated, this technique does have some limitations. Because intervention is commonly performed under fluoroscopic control, 2-D visualization of the aneurysm requires the injection of a contrast agent. The projective nature of this imaging modality inevitably leads to topographic errors, and does not give information on arterial wall quality at the time of deployment. A specially adapted intraoperative navigation interface could increase deployment accuracy and reveal such information, which preoperative 3-D imaging might otherwise provide. One difficulty is the precise matching of preoperative data (images and models) and intraoperative observations affected by anatomical deformations due to tool-tissue interactions. Our proposed solution involves a finite-element-based preoperative simulation of tool-tissue interactions, its adaptive tuning regarding patient specific data, and the matching with intraoperative data. The biomechanical model was first tuned on a group of ten patients and assessed on a second group of eight patients.
Keywords : FEM simulation tool/tissue interactions EVAR endovascular navigation
Type de document :
Article dans une revue
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2013, 60 (5), pp.1353-62. 〈10.1109/TBME.2012.2235440〉
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https://www.hal.inserm.fr/inserm-00769328
Contributeur : Lotfi Senhadji <>
Soumis le : lundi 31 décembre 2012 - 12:24:14
Dernière modification le : samedi 22 septembre 2018 - 01:12:10
Document(s) archivé(s) le : dimanche 18 décembre 2016 - 10:56:32

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Aurélien Dumenil, Adrien Kaladji, Miguel Castro, Simon Esneault, Antoine Lucas, et al.. Finite-element-based matching of pre- and intraoperative data for image-guided endovascular aneurysm repair.. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2013, 60 (5), pp.1353-62. 〈10.1109/TBME.2012.2235440〉. 〈inserm-00769328〉

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