Humphrey JD. Cardiovascular solid mechanics: cells, tissues, and organs. New York: Springer; 2002. p. 757.
Vernooij MW, et al. Incidental findings on brain MRI in the general population. N Engl J Med. 2007;357(18):1821–8.
de Rooij NK, et al. Incidence of subarachnoid haemorrhage: a systematic review with emphasis on region, age, gender and time trends. J Neurol Neurosurg Psychiatry. 2007;78(12):1365–72.
Tomasello F, et al. Asymptomatic aneurysms. Literature meta-analysis and indications for treatment. J Neurosurg Sci. 1998;42(1 Suppl 1):47–51.
Wardlaw JM, White PM. The detection and management of unruptured intracranial aneurysms. Brain. 2000;123(Pt 2):205–21.
Wiebers DO, et al. Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet. 2003;362(9378):103–10.
Ma B, Harbaugh RE, Raghavan ML. Three-dimensional geometrical characterization of cerebral aneurysms. Ann Biomed Eng. 2004;32(2):264–73.
Sorteberg A, Farhoudi D. The influence of aneurysm configuration on intra-aneurysmal pressure and flow. Interv Neuroradiol. 2006;12:203–14.
Nader-Sepahi A, et al. Is aspect ratio a reliable predictor of intracranial aneurysm rupture? Neurosurgery 2004. 54(6):1343–7 (discussion 1347–8).
Ujiie H, et al. Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: a possible index for surgical treatment of intracranial aneurysms. Neurosurgery 1999;45(1):119–29 (discussion 129–30).
Ujiie H, et al. Is the aspect ratio a reliable index for predicting the rupture of a saccular aneurysm? Neurosurgery 2001; 48(3):495–502 (discussion 502–3).
Weir B, et al. The aspect ratio (dome/neck) of ruptured and unruptured aneurysms. J Neurosurg. 2003;99(3):447–51.
Cebral J, et al. Pilot clinical study of aneurysm rupture using image-based computational fluid dynamics models. In: SPIE Medical Imaging Conference, San Diego; 2005.
Ortega HV. Computer simulation helps predict cerebral aneurysms. J Med Eng Technol. 1998;22(4):179–81.
Cebral JR, et al. Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. AJNR Am J Neuroradiol. 2005;26(10):2550–9.
Cebral JR, et al. Cerebral aneurysm hemodynamics modeling from 3D rotational angiography. In: Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004. pp. 944–7.
Cebral JR, Hernandez M, Frangi AF. Computational analysis of blood flow dynamics in cerebral aneurysms from CTA and 3D rotational angiography image data. In: Doblaré M, Cerrolaza M Rodrigues H (eds) International Congress On Computational Bioengineering, vol. I3A, 2003.
Cebral JR, et al. Subject-specific modeling of intracranial aneurysms. Medical imaging 2004: physiology, function, and structure from medical images. In: Proceedings of SPIE, vol. 5369, 2004. pp. 319–27.
Hoi Y, et al. Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study. J Neurosurg. 2004;101(4):676–81.
Shojima M, et al. Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke. 2004;35(11):2500–5.
Marzo A, et al. Influence of inlet boundary conditions on the local haemodynamics of intracranial aneurysms. Comput Methods Biomech Biomed Eng. 2009;12(4):431–44.
Westerhof N, Stergiopulos N, Noble MIM Snapshots of Hemodynamics. Dordrecht: Springer Science, Business Media; 2005. p. 192.
Dempere-Marco L, et al. CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms. Med Image Comput Comput Assist Interv Int Conf. 2006;9(Pt 2):438–45.
Cebral JR, et al. Realistic cerebral circulation models from medical image data. In: Summer Bioengineering Conference, Sonesta Beach Resort in Key Biscayne, Florida, 25–29 June 2003.
Raghavan ML, Ma B, Harbaugh RE. Quantified aneurysm shape and rupture risk. J Neurosurg. 2005;102(2):355–62.