| Literature DB >> 29998415 |
Hossein Mohammadi1,2, Simon Lessard3, Eric Therasse4, Rosaire Mongrain5, Gilles Soulez3,4.
Abstract
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.Entities:
Keywords: Endovascular aneurysm repair (EVAR); Endovascular navigation; Image registration; Intraoperative; Patient-specific; Preoperative; Simulation; Surrounding tissues
Mesh:
Year: 2018 PMID: 29998415 DOI: 10.1007/s10439-018-2093-8
Source DB: PubMed Journal: Ann Biomed Eng ISSN: 0090-6964 Impact factor: 3.934