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Open AccessArticle

Finite-Element Based Image Registration for Endovascular Aortic Aneurysm Repair

1
Mines Saint-Etienne, Univ Lyon, Univ Jean Monnet, INSERM, U1059 Sainbiose, Centre CIS, F-42023 Saint-Etienne, France
2
THALES, Microwave & Imaging Sub-Systems, 38430 Moirans, France
3
INSERM, U1059 Sainbiose and University Hospital of Saint-Etienne, Univ Jean Monnet, F-42000 Saint-Etienne, France
*
Author to whom correspondence should be addressed.
Modelling 2020, 1(1), 22-38; https://doi.org/10.3390/modelling1010002
Received: 29 May 2020 / Revised: 4 July 2020 / Accepted: 8 July 2020 / Published: 11 July 2020
(This article belongs to the Section Modelling in Biology and Medicine)
In this paper we introduce a new method for the registration between preoperative and intraoperative computerized tomography (CT) images used in endovascular interventions for aortic aneurysm repair. The method relies on a 3D finite-element model (FEM) of the aortic centerline reconstructed from preoperative CT scans. Intraoperative 2D fluoroscopic images are used to deform the 3D FEM and align it onto the current aortic geometry. The method was evaluated on clinical datasets for which a reference CT scan was available to evaluate the registration errors made by our method and to compare them with other registration methods based on rigid transformations. Errors were estimated based on the predicted locations of landmarks positioned at different branch ostia. It appeared that our method always reduced the registration errors of at least 20% compared to gold standard 3D rigid registration and permitted to reach a global precision of 3.8 mm and a renal precision of 2.6 mm, which is a significant improvement compatible with surgical specifications. Finally, the major asset of our method is that it only requires one fluoroscopic intraoperative 2D image to perform the 3D non-rigid registration. This would reduce patient irradiation and cut the costs compared to traditional methods. View Full-Text
Keywords: abdominal aortic aneurysms; finite element modeling; Lagrange multipliers; registration; X-ray imaging; computed tomography abdominal aortic aneurysms; finite element modeling; Lagrange multipliers; registration; X-ray imaging; computed tomography
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MDPI and ACS Style

Pionteck, A.; Pierrat, B.; Gorges, S.; Albertini, J.-N.; Avril, S. Finite-Element Based Image Registration for Endovascular Aortic Aneurysm Repair. Modelling 2020, 1, 22-38. https://doi.org/10.3390/modelling1010002

AMA Style

Pionteck A, Pierrat B, Gorges S, Albertini J-N, Avril S. Finite-Element Based Image Registration for Endovascular Aortic Aneurysm Repair. Modelling. 2020; 1(1):22-38. https://doi.org/10.3390/modelling1010002

Chicago/Turabian Style

Pionteck, Aymeric; Pierrat, Baptiste; Gorges, Sébastien; Albertini, Jean-Noël; Avril, Stéphane. 2020. "Finite-Element Based Image Registration for Endovascular Aortic Aneurysm Repair" Modelling 1, no. 1: 22-38. https://doi.org/10.3390/modelling1010002

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