Simulation of intracranial aneurysm stenting: Techniques and challenges

Computer Methods in Applied Mechanics and Engineering

Volumn 198, Issue 45-46, 2009, Pages 3567-3582

  Appanaboyina, Sunil ^a   Mut, Fernando ^a   Löhner, Rainald ^a   Putman, Christopher ^b   Cebral, Juan ^a  

^a GEORGE MASON UNIVERSITY   (United States)

^b INOVA FAIRFAX HOSPITAL   (United States)

Author keywords

Adaptive embedded unstructured grids; Cerebral aneurysms; Computational fluid dynamics; Hemodynamics; Stenting

Indexed keywords

ADAPTIVE EMBEDDED UNSTRUCTURED GRIDS; CEREBRAL ANEURYSMS; EMBEDDED GRIDS; ENDOVASCULAR; ENDOVASCULAR STENTING; FLOW DIVERTER; INTRACRANIAL ANEURYSMS; MEDICAL IMAGES; NOVEL METHODS; PATIENT-SPECIFIC MODELING; PLANNING PHASE; STENT DESIGN; STENTING;

COMPUTATIONAL FLUID DYNAMICS; FLUID DYNAMICS; FLUID STRUCTURE INTERACTION; HEMODYNAMICS; HYDRODYNAMICS; SENSITIVITY ANALYSIS; SIMULATORS;

PATIENT TREATMENT;

EID: 69949118410     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2009.01.017     Document Type: Article

References (47)

1. A. Stehbens, Intracranial arterial aneurysms, in: Pathology of the Cerebral Blood Vessels, 1972, pp. 351-470.
2. Linn F., Rinkel G., Algra A., and van Gijn J. Incidence of subarachnoid hemorrhage: role of region, year, and rate of computed tomography: a meta-analysis. Stroke 27 4 (1996) 625-629
3. Foutrakis G., Yonas H., and Selabassi R. Saccular aneurysm formation in curved and bifurcation arteries. Amer. J. Neuroradiol. 20 (1999) 1309-1317
4. Weir B. Unruptured intracranial aneurysms: a revire. J. Neurosurg. 96 (2002) 3-42
5. Tomasello F., D'Avella D., Salpietro F., and Longo M. Asumptomatic aneurysms. Literature metanalysis and indications for treatment. J. Neurosurg. 42 1 (1998) 47-51
6. Winn H., Jane J., Taylor J., Kaiser D., and Britz G. Detection of asymptomatic incidental aneurysms: review of 4568 arteriograms. J. Neurosurg. 96 1 (2002) 43-49
7. Kaminogo M., Yonekura M., and Shibata S. Incidence and outcome of multiple intracranial aneurysms in a defined population. Stroke 34 1 (2003) 16-21
8. Ringer A., Lopes D., Boulos A., Guterman L., and Hopkins L. Current techniques for endovascular treatment of intracranial aneurysms. Semin. Cerebrovasc. Dis. Stroke 1 1 (2001)
9. Lylyk P., Ferrario A., Pasbon B., Miranda C., and Doroszuk G. Buenos Aires experience with the Neuroform self-expanding stent for the treatment of intracranial aneurysms. J. Neurosurg. 102 2 (2005) 235-241
10. Lövbald K.O., Yilmaz H., Chouiter A., Ruiz D.S.M., Abdo G., Bijlenga P., Tribolet N., and Rüfenacht D.A. Intracranial aneurysm stenting: follow-up with MR angiography. J. Magn. Reson. Imag. 24 (2006) 418-422
11. Szikora I., Berentei Z., Kulcsar Z., Barath K., Berez A., Bose A., and Nyary I. Endovascular treatment of intracranial aneurysms with parent vessel reconstruction using balloon and self expandable stents. Acta Neurochir. 148 (2006) 711-723
12. Ohta M., Wetzel S.G., Dantan P., Bachelet C., Lovbald K.O., Yilmaz H., Flaud P., and Rüfenacht D.A. Rheological changes after stenting of a cerebral aneurysm: a finite element modeling approach. Cardiovasc Intervention. Radiol. 28 (2005) 768-772
13. Yu S.C.M., and Zhao J.B. A steady flow analysis on the stented and non-stented sidewall aneurysm models. Med. Engrg. Phys. 21 (1999) 133-141
14. Wakhloo A.K., and Leiber B.B. Alteration of hemodynamics in aneurysm models by stenting: influence of stent porosity. Ann. Biomed. Engrg. 25 (1997) 460-469
15. Barath K., Cassot F., and Fasel J.H. Influence of stent properties on the alteration of cerebral intra-aneurysmal hemodynamics: flow quantification in elastic sidewall aneurysm models. Neurol. Res. 27 (2005) 120-128
16. Jou L.D., Quick C.M., Young W.L., Lawton M.T., Higashida R., Martin A., and Saloner D. Computational approach to quantify hemodynamic forces in giant cerebral aneurysms. Amer. J. Neuroradiol. 24 9 (2004) 1804-1810
17. Steinman D., Milner J., Norley C., Lownie S., and Holdworth D. Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. Amer. J. Neuroradiol. 24 4 (2003) 559-566
18. J.R. Cebral, M. Hernandez, A.F. Frangi, Computational analysis of blood flow dynamics in cerebral aneurysms from CTA and 3D rotational angiography image data, in: ICCB03, Zaragoza, Spain, September, 2003.
19. J.R. Cebral, M. Hernandez, A.F. Frangi, C.M. Putman, M. Pergolizzi, J.E. Burgess, Subject-specific modeling of intracranial aneurysms, in: SPIE Medical Imaging 2004, San Diego, California, February 2004.
20. Cebral J.R., Castro M.A., Appanaboyina S., Putman C.M., Millan D., and Frangi A.F. Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans. Med. Imag. 24 (2005) 457-467
21. Ymi P.J., Vasbinder B., Ho V., and Choyke P.L. Isosurfaces as deformable models for magnetic resonance angiography. IEEE Trans. Med. Imag. 22 (2003) 875-881
22. Taubin G. A signal processing approach to fair surface design. Comput. Graphics (1995) 351-358
23. K. Perktold, G. Rappitsch, Computer Simulation of Arterial Blood Flow, Vessel Diseases Under the Aspect of Local Hemodynamics, Biological Flows Plenum Press, 1995, pp. 83-114.
24. J.R. Cebral, M.A. Castro, J.E. Burgess, C.M. Putman, Cerebral aneurysm hemodynamics modeling from 3D rotational angiography, in: ISBI 2004, Arlington, Virginia, April 2004.
25. Radaelli A.G., Augsburger L., Cebral J.R., Ohta M., Rfenacht D.A., Balossino R., Benndorf G., Hose D.R., Marzo A., Metcalfe R., Mortier P., Mut F., Reymond P., Socci L., Verhegghe B., and Frangi A.F. Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model - a report on the Virtual Intracranial Stenting Challenge 2007. J. Biomech. 41 10 (2008) 2069-2081
26. Kim M., Levy E.I., Meng H., and Hopkins L.N. Quantification of hemodynamic changes induced by virtual placement of multiple stents across a wide-necked basilar trunk aneurysm. Neurosurgery 61 6 (2007) 1305-1312
27. Löhner R., Appanaboyina S., and Cebral J.R. Comparison of body-fitted, embedded and immersed solutions of low Reynolds-number 3-D incompressible flows. Int. J. Numer. Methods Fluids 57 1 (2007) 13-30
28. Appanaboyina S., Mut F., Löhner R., Putman C.M., and Cebral J.R. Computational fluid dynamics of stented intracranial aneurysms using adaptive embedded unstructured grids. Int. J. Numer. Methods Fluids 57 (2008) 475-493
29. Ohta M., He C., Nakayama T., Takahashi A., and Rüfenacht D.A. Three-dimensional reconstruction of a cerebral stent using micro-CT for computational simulation. J. Intell. Mater. Syst. Struct. (2007) 10.1177/1045389X07083184
30. Cebral J.R., Lohner R., Appanaboyina S., and Putman C.M. Image-based computational hemodynamics methods and their application for the analysis of blood flow past endovascular devices. In: Leondes C.T. (Ed). Biomechanical Systems Technology: (1) Computational Methods vol. 1 (2007), World Scientific 29-85 (Chapter 2)
31. Sforza D., Putman C.M., and Cebral J.R. Hemodynamics of Cerebral Aneurysms. Ann. Rev. Fluid Mech. 41 (2009) 91-107
32. Löhner R., Baum J., Mestreau E., and Sharov D. Adaptive embedded unstructured grid methods. Int. J. Numer. Methods 60 (2003) 641-660
33. Cebral J.R., and Löhner R. Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique. IEEE Trans. Med. Imag. (2005) special issue on Vascular Imaging
34. Hughes T.R. The Finite Element Method: Linear Static and Dynamic Finite Element Analysis (2000), Dover Publications
35. Löhner R. Regridding surface triangulations. J. Comput. Phys. 126 (1996) 1-10
36. Löhner R. Automatic unstructured grid generators. Finite Elem. Anal. Des. (1997) 111-134
37. Mazumdar J. Biofluid Mechanics (1992), World Scientific
38. Löhner R. Applied CFD Techniques (2001), John Wiley & Sons
39. R. Löhner, C. Yang, J.R. Cebral, O. Soto, F. Camelli, J. Waltz, Improving the speed and accuracy of projection-type incompressible flow solvers, AIAA-03-3991-CP, 2003.
40. Taylor C., Hughes T., Löhner R., Soto O., and Choyke P. Finite element modeling of blood flow in arteries. Comput. Methods Appl. Mech. Engrg. 158 (1998) 155-196
41. Cebral J.R., Yim P., Löhner R., Soto O., and Choyke P. Blood flow modeling in carotid arteries using computational fluid dynamics and magnetic resonance imaging. Acad. Radiol. 9 (2002) 1286-1299
42. Castro M.A., Putman C.M., and Cebral J.R. Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intraaneurysmal hemodynamics. Amer. J. Neuroradiol. (2006) 27 1703-1709
43. J.R. Cebral, R. Löhner, Flow visualization on unstructured grids using geometrical cuts, vortes and shock surfaces, AIAA-2001-915, 2001.
44. Ferrandez A., David T., Bamford J., Scott J., and Guthrie A. Computational models of blood flow in the circle of Willis. Comput. Methods Biomech. Biomed. Engrg. 4 1 (2000) 1-26
45. Formaggia L., Lamponi D., Tuveri M., and Veneziani A. Numerical modeling of 1D arterial networks coupled with a lumped parameters description of the heart. Comput. Methods Biomech. Biomed. Engrg. 9 5 (2006) 273-288
46. Cebral J.R., Castro M.A., Soto O., Löhner R., and Alperin N. Blood-flow models of the circle of willis from magnetic resonance data. J. Engrg. Math. 47 (2003) 369-386
47. Lieber B.B., and Gounis M.J. The physics of endoluminal stenting in the treatment of cerebrovascular aneurysms. Neurol. Res. 24 1 (2002) S33-S42