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.
Similar content being viewed by others
References
Arnaoutakis, D. J., M. Zammert, A. Karthikesalingam, and M. Belkin. Endovascular repair of abdominal aortic aneurysms. Best Pract. Res. Clin. Anaesthesiol. 30:331–340, 2016.
Bols, J., J. Degroote, B. Trachet, B. Verhegghe, P. Segers, and J. Vierendeels. A computational method to assess the in vivo stresses and unloaded configuration of patient-specific blood vessels. J. Comput. Appl. Math. 246:10–17, 2013.
Brown, L. C., E. A. Brown, R. M. Greenhalgh, J. T. Powell, and S. G. Thompson. Renal function and abdominal aortic aneurysm (AAA): the impact of different management strategies on long-term renal function in the UK EndoVascular Aneurysm Repair (EVAR) Trials. Ann. Surg. 251:966–975, 2010.
Comley, K., and N. A. Fleck. A micromechanical model for the Young’s modulus of adipose tissue. Int. J. Solids Struct. 47:2982–2990, 2010.
Dalstra, M., R. Huiskes, and L. Van Erning. Development and validation of a three-dimensional finite element model of the pelvic bone. J. Biomech. Eng 37:272–278, 1995.
De Bock, S., F. Iannaccone, G. De Santis, M. De Beule, D. Van Loo, D. Devos, F. Vermassen, P. Segers, and B. Verhegghe. Virtual evaluation of stent graft deployment: a validated modeling and simulation study. J. Mech. Behav. Biomed. Mater. 13:129–139, 2012.
Dubuisson M. P. and A. K. Jain. A modified Hausdorff distance for object matching. In: Proceedings of 12th International Conference on Pattern Recognition 1994, pp. 566–568 vol. 561.
Dumenil, A., A. Kaladji, M. Castro, S. Esneault, A. Lucas, M. Rochette, C. Göksu, and P. Haigron. Finite-element-based matching of pre-and intraoperative data for image-guided endovascular aneurysm repair. IEEE Trans. Biomed. Eng. 60:1353–1362, 2013.
Fung, Y.-C. Biomechanics: Mechanical Properties of Living Tissues. New York: Springer, 2013.
Gasser, T. C., G. Görgülü, M. Folkesson, and J. Swedenborg. Failure properties of intraluminal thrombus in abdominal aortic aneurysm under static and pulsating mechanical loads. J. Vasc. Surg. 48:179–188, 2008.
Gindre, J., A. Bel-Brunon, A. Kaladji, A. Duménil, M. Rochette, A. Lucas, P. Haigron, and A. Combescure. Finite element simulation of the insertion of guidewires during an EVAR procedure: example of a complex patient case, a first step toward patient-specific parameterized models. Int. J. Num. Methods Biomed. Eng. 31:e02716, 2015.
Gindre, J., A. Bel-Brunon, M. Rochette, A. Lucas, A. Kaladji, P. Haigron, and A. Combescure. Patient-specific finite-element simulation of the insertion of guidewire during an EVAR procedure: guidewire position prediction validation on 28 cases. IEEE Trans. Biomed. Eng. 64:1057–1066, 2017.
Gupta A., S. Sett, S. Varahoor and B. Wolf. Investigation of interaction between guidewire and native vessel using finite element analysis. In: Proceedings of the 2010 Simulia Customer Conference 2010
Hallquist, J. O. LS-DYNA Theory Manual. San Diego: Livermore Software Technology Corporation, pp. 25–31, 2006.
Joldes, G. R., K. Miller, A. Wittek, and B. Doyle. A simple, effective and clinically applicable method to compute abdominal aortic aneurysm wall stress. J. Mech. Behav. Biomed. Mater. 58:139–148, 2016.
Kaladji, A., A. Dumenil, M. Castro, A. Cardon, J.-P. Becquemin, B. Bou-Saïd, A. Lucas, and P. Haigron. Prediction of deformations during endovascular aortic aneurysm repair using finite element simulation. Comput. Med. Imaging Graph. 37:142–149, 2013.
Kauffmann, C., F. Douane, E. Therasse, S. Lessard, S. Elkouri, P. Gilbert, N. Beaudoin, M. Pfister, J. F. Blair, and G. Soulez. Source of errors and accuracy of a two-dimensional/three-dimensional fusion road map for endovascular aneurysm repair of abdominal aortic aneurysm. J. Vasc. Interv. Radiol. 26:544–551, 2015.
Lessard, S., C. Kauffmann, M. Pfister, G. Cloutier, E. Therasse, J. A. de Guise, and G. Soulez. Automatic detection of selective arterial devices for advanced visualization during abdominal aortic aneurysm endovascular repair. Med. Eng. Phys. 37:979–986, 2015.
Lim, J.-H., S.-H. Ong, and W. Xiong. Biomedical Image Understanding: Methods and Applications. New Jersey: Wiley, 2015.
Liu, Y., C. Dang, M. Garcia, H. Gregersen, and G. S. Kassab. Surrounding tissues affect the passive mechanics of the vessel wall: theory and experiment. Am. J. Physiol. Heart Circ. Physiol. 293:H3290–H3300, 2007.
Miao, C. Y., and Z. Y. Li. The role of perivascular adipose tissue in vascular smooth muscle cell growth. Br. J. Pharmacol. 165:643–658, 2012.
Miller, K., and J. Lu. On the prospect of patient-specific biomechanics without patient-specific properties of tissues. J. Mech. Behav. Biomed. Mater. 27:154–166, 2013.
Mohammadi, H., R. Cartier, and R. Mongrain. Review of numerical methods for simulation of the aortic root: present and future directions. Int. J. Comput. Methods Eng. Sci. Mech. 17:182–195, 2016.
Mohammadi, H., R. Cartier, and R. Mongrain. Fiber-reinforced computational model of the aortic root incorporating thoracic aorta and coronary structures. Biomech. and Mode. Mechanobiol. 17:263–283, 2017.
Mohammadi, H., R. Cartier, and R. Mongrain. 3D physiological model of the aortic valve incorporating small coronary arteries. Int. J. Num. Methods Biomed. Eng. 33:e2829, 2017.
Moireau, P., N. Xiao, M. Astorino, C. A. Figueroa, D. Chapelle, C. Taylor, and J.-F. Gerbeau. External tissue support and fluid–structure simulation in blood flows. Biomech. Model. Mechanobiol. 11:1–18, 2012.
Perrin, D., P. Badel, L. Orgeas, C. Geindreau, S. R. du Roscoat, J. N. Albertini, and S. Avril. Patient-specific simulation of endovascular repair surgery with tortuous aneurysms requiring flexible stent-grafts. J. Mech. Behav. Biomed. Mater. 63:86–99, 2016.
Rafii-Tari, H., C. J. Payne, and G.-Z. Yang. Current and emerging robot-assisted endovascular catheterization technologies: a review. Ann. Biomed. Eng. 42:697–715, 2014.
Raghavan, M. L., and D. A. Vorp. Toward a biomechanical tool to evaluate rupture potential of abdominal aortic aneurysm: identification of a finite strain constitutive model and evaluation of its applicability. J. Biomech. 33:475–482, 2000.
Roy, D. Mechanical Simulation of the Endovascular Repair of Abdominal Aortic Aneurysms. Montréal: Université de Montréal, 2015.
Roy, D., G. A. Holzapfel, C. Kauffmann, and G. Soulez. Finite element analysis of abdominal aortic aneurysms: geometrical and structural reconstruction with application of an anisotropic material model. IMA J. Appl. Math. 79:1011–1026, 2014.
Schröder, J. The mechanical properties of guidewires. Part I: Stiffness and torsional strength. Cardiovasc. Intervent. Radiol. 16:43–46, 1993.
Sommer, G., M. Eder, L. Kovacs, H. Pathak, L. Bonitz, C. Mueller, P. Regitnig, and G. A. Holzapfel. Multiaxial mechanical properties and constitutive modeling of human adipose tissue: a basis for preoperative simulations in plastic and reconstructive surgery. Acta Biomater. 9:9036–9048, 2013.
Toth D., M. Pfister, A. Maier, M. Kowarschik and J. Hornegger. Adaption of 3D Models to 2D X-Ray Images during Endovascular Abdominal Aneurysm Repair. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 20152015, pp. 339–346
Yushkevich, P. A., J. Piven, H. C. Hazlett, R. G. Smith, S. Ho, J. C. Gee, and G. Gerig. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31:1116–1128, 2006.
Acknowledgments
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.
Author information
Authors and Affiliations
Corresponding author
Additional information
Associate Editor Karol Miller oversaw the review of this article.
Rights and permissions
About this article
Cite this article
Mohammadi, H., Lessard, S., Therasse, E. et al. A Numerical Preoperative Planning Model to Predict Arterial Deformations in Endovascular Aortic Aneurysm Repair. Ann Biomed Eng 46, 2148–2161 (2018). https://doi.org/10.1007/s10439-018-2093-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10439-018-2093-8