A Numerical Preoperative Planning Model to Predict Arterial Deformations in Endovascular Aortic Aneurysm Repair
Endovascular aneurysm repair is rapidly emerging as the primary preferred method for treating abdominal aortic aneurysm. In this image-guided interventional procedure, to obtain the roadmap and decrease contrast injections, preoperative CT images are overlaid onto live fluoroscopy images using various 2D/3D image fusion techniques. However, the structural changes due to the insertion of stiff tools degrade the fusion accuracy. To correct the mismatch and quantify the intraoperative deformations, we present a patient-specific biomechanical model of the aorto-iliac structure and its surrounding tissues. The predictive capability of the model was evaluated against intraoperative data for a group of four patients. Incorporating the perivascular tissues into the model significantly improved the results and the mean distance between the real and simulated endovascular tools was 2.99 ± 1.78 mm on the ipsilateral side and 4.59 ± 3.25 mm on the contralateral side. Moreover, the distance between the deformed iliac ostia and their corresponding landmarks on intraoperative images was 2.99 ± 2.48 mm.
KeywordsEndovascular aneurysm repair (EVAR) Endovascular navigation Image registration Patient-specific Simulation Surrounding tissues Intraoperative Preoperative
We thank the FQRNT (Fonds de recherche du Québec – Nature et technologies). The research project were funded by the Nature Sciences and Engineering Research Council of Canada (NSERC) collaborative research and development grant, in partnership with Siemens Healthineers, CAE Healthcare, and the Medteq consortium.
Conflict of interest
The authors declare that they have no conflict of interest.
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