Abstract
This work presents an image- and biomechanics-based data processing pipeline able to build patient-specific models of cerebral aneurysms. The pipeline also contemplates the virtual modeling and release of endovascular devices such as stents and coils. As a result of the morphological, morphodynamic, hemodynamic and structural analyses, a set of complex descriptors relevant for aneurysm’s diagnosis and prognosis is derived. On the one hand these will bring an insight into the processes behind aneurysm genesis, growth and rupture. On the other one, the inclusion of virtual devices enables the in silicopersonalized evaluation of alternative treatment scenarios before intervention and constitutes a valuable tool for the industrial design of more effective devices. Several of its components have been evaluated in terms of robustness and accuracy. The next step should comprehensively assess the complete pipeline, also proving its clinical value. This pipeline illustrates some of the ideas behind the Virtual Physiological Human (VPH) and the integration of complex data for a better understanding of human physiology in health, disease and its treatment.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alastruey, J., Parker, K., Peiró, J., Byrd, S., Sherwin, S.: Modelling the circle of Willis to assess the effects of anatomical variations and occlusions on cerebral flows. J. Biomech. 40(8), 1794–1805 (2007)
Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A., Steinman, D.: An image-based modeling framework for patient-specific computational hemodynamics. Med. Biol. Eng. Comput. 46(11), 1097–1112 (2008)
Arbona, A., Benkner, S., Engelbrecht, G., Fingberg, J., Hofmann, M., Kumpf, K., Lonsdale, G., Woehrer, A.: A service-oriented grid infrastructure for biomedical data and compute services. IEEE Transactions on NanoBioscience 6(2), 136–141 (2007)
Arbona, A., Benkner, S., Fingberg, J., Frangi, A.F., Hofmann, M., Hose, D.R., Lonsdale, G., Ruefenacht, D., Viceconti, M.: Outlook for grid service technologies within the @neurIST eHealth environment. Stud. Health. Technol. Informat. 120, 401–404 (2006)
Balocco, S., Camara, O., Frangi, A.F.: Towards regional elastography of intracranial aneurysms. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI. Lecture Notes on Computer Science, vol.5242, pp.131–138. Springer, Berlin, Heidelberg, New York, USA (2008)
Balocco, S., Camara, O., Vivas, E., Sola, T., Guimaraens, L., Gratama van Adel, H., Majoie, C., Pozo, J., Bijnens, B.H., Frangi, A.F.: Feasibility of estimating regional mechanical properties of cerebral aneurysms in vivo. Med. Phys. 37, 1689–1706 (2010)
Blanco, P.J., Feijóo, R.A., Urquiza, S.A.: A unified variational approach for coupling 3D-1D models and its blood flow applications. Comput. Meth. Appl. Math. 196(41–44), 4391–4410 (2007)
Bogunović, H., Radaelli, A., De Craene, M., Delgado, D., Frangi, A.F.: Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. In: SPIE Medical Imaging 2008: Image Processing, vol.6914, p.691419 (2008)
Boussel, L., Rayz, V., McCulloch, C., Martin, A., Acevedo-Bolton, G., Lawton, M., Higashida, R., Smith, W.S., Young, W.L., Saloner, D.: Aneurysm growth occurs at region of low wall shear stress: Patient-specific correlation of hemodynamics and growth in a longitudinal study. Stroke 39(11), 2997–3002 (2008)
Brisman, J., Song, J., Newell, D.: Medical progress: cerebral aneurysms. New Engl. J. Med. 355(9), 928–939 (2006)
Brisman, J., Song, J., Niimi, Y., Berenstein, A.: Treatment options for wide-necked intracranial aneurysms using a self-expandable hydrophilic coil and a self-expandable stent combination. Am. J. Neuroradiol. 26(5), 1237–1240 (2005)
Calamante, F., Yim, P., Cebral, J.R.: Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. Neuroimage 19(2), 341–353 (2003)
Castro, M.A., Putman, C.M., Cebral, J.R.: Patient-specific computational modeling of cerebral aneurysms with multiple avenues of flow from 3D rotational angiography images. Acad. Radiol. 13(7), 811–821 (2006)
Cebral, J.R., Castro, M.A., Appanaboyina, S., Putman, C.M., Millan, D., Frangi, A.F.: Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans. Med. Imag. 24(4), 457–467 (2005)
Cebral, J.R., Castro, M.A., Satoh, T., Burgess, J.: Evaluation of image-based CFD models of cerebral aneurysm using MRI. In: ISMRM Flow Motion Workshop, Zurich, Switzerland, pp.11–13 (2004)
Cebral, J.R., Löhner, R.: Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique. IEEE Trans. Med. Imag. 24(4), 468–476 (2005)
Cebral, J.R., Pergolizzi, R., Putman, C.M.: Computational fluid dynamics modeling of intracranial aneurysms: qualitatively comparison with cerebral angiography. Acad. Radiol. 14(7), 804–813 (2007)
Chang, H.H., Duckwiler, G.R., Valentino, D.J., Chu, W.C.: Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling. Med. Phys. 36(12), 5612–5621 (2009)
De Craene, M., Camara, O., Bijnens, B.H., Frangi, A.F.: Non-stationary diffeomorphic registration: application to endovascular treatment monitoring. In: SPIE Medical Imaging 2009: Image Processing, vol.7259, p.72591F (2009)
De Craene, M., Pozo, J.M., Villa-Uriol, M.C., Vivas, E., Sola, T., Guimaraens, L., Blasco, J., Macho, J., Frangi, A.F.: Coil compaction and aneurysm growth: image-based quantification using non-rigid registration. In: SPIE Medical Imaging 2008: Computer-Aided Diagnosis, vol.6915, p.69151R (2008)
Delingette, H.: General object reconstruction based on simplex meshes. Int. J. Comput. Vis. 32(2), 111–146 (1999)
Dempere-Marco, L., Oubel, E., Castro, M.A., Putman, C.M., Millan, R.D., Frangi, A.F.: CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes on Computer Science, vol.4191, pp.438–445. Springer, Berlin, Heidelberg, New York, USA (2006)
Dunlop, R., Arbona, A., Rajasekaran, H., Lo Iacono, L., Fingberg, J., Summers, P., Benkner, S., Engelbrecht, G., Chiarini, A., Friedrich, C., Moore, B., Bijlenga, P., Iavindrasana, J., Hose, R., Frangi, A.F.: @neurIST – Chronic disease management through integration of heterogeneous data and computer-interpretable guideline services. Stud. Health. Technol. Inform. 138, 173–177 (2008)
Fenner, J., Brook, B., Clapworthy, G., Coveney, P., Feipel, V., Gregersen, H., Hose, D., Kohl, P., Lawford, P., McCormack, K., Pinney, D., Thomas, S., Van Sint Jan, S., Waters, S., Viceconti,M.: The EuroPhysiome, STEP and a roadmap for the virtual physiological human. Proc. R. Soc. A 366(1878), 2979–2999 (2008)
Flore, E., Larrabide, I., Petrini, L., Pennati, G., Frangi, A.F.: Stent deployment in aneurysmatic cerebral vessels: Assessment and quantification of the differences between Fast Virtual Stenting and Finite Element Analysis. In: CI2BM09 – MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, vol. 5242, pp. 790–797, Springer, Berlin, Heidelberg, London (2009)
Ford, M.D., Alperin, N., Lee, S., Holdsworth, D., Steinman, D.: Characterization of volumetric flow rate waveforms in the normal internal carotid and vertebral arteries. Physiol. Meas. 26(4), 477–488 (2005)
Ford, M.D., Nikolov, H.N., Milner, J.S., Lownie, S.P., DeMont, E.M., Kalata, W., Loth, F., Holdsworth, D.W., Steinman, D.A.: PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models. J. Biomech. Eng. 130(2), 021015 (2008)
Ford, M.D., Stuhne, G., Nikolov, H., Habets, D., Lownie, S., Holdsworth, D., Steinman, D.: Virtual angiography for visualization and validation of computational models of aneurysm hemodynamics. IEEE Trans. Med. Imag. 24(12), 1586–1592 (2005)
Friedrich, C.M., Dach, H., Gattermayer, T., Engelbrecht, G., Benkner, S., Hofmann-Apitius, M.: @neuLink: a service-oriented application for biomedical knowledge discovery. Stud Health Technol Inform 138, 165–172 (2008)
Geers, A., Larrabide, I., Radaelli, A.G., Bogunović, H., Gratama van Andel, H.A.F., Majoie, C.B., Frangi, A.F.: Reproducibility of image-based computational hemodynamics in intracranial aneurysms: comparison of CTA and 3DRA. In: IEEE Int. Symp. Biomed. Imag. pp.610–613. IEEE Press, Piscataway, NJ, USA, Boston, MA, USA (2009)
Guglielmi, G., Viñuela, F., Dion, J., Duckwiler, G.: Electrothrombosis of saccular aneurysms via endovascular approach. Part 2: Preliminary clinical experience. J. Neurosurg. 75(1), 8–14 (1991)
Hernandez, M., Frangi, A.F.: Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. Med. Image Anal. 11(3), 224–241 (2007)
Hoi, Y., Woodward, S., Kim, M., Taulbee, D., Meng, H.: Validation of CFD simulations of cerebral aneurysms with implication of geometric variations. J. Biomech. Eng. 128(6), 844–851 (2006)
Iavindrasana, J., Lo Iacono, L., Müller, H., Periz, I., Summers, P., Wright, J., Friedrich, C., Dach, H., Gattermayer, T., Engelbrecht, G., Benkner, S., Hofmann-Apitius, M., Dunlop, R., Arbona, A., Rajasekaran, H., Fingberg, J., Chiarini, A., Moore, B., Bijlenga, P., Hose, R., Frangi, A.F.: The @neurIST project. Stud. Health Technol. Informat. 138, 161–164 (2008)
Ishida, F., Ogawa, H., Simizu, T., Kojima, T., Taki, W.: Visualizing the dynamics of cerebral aneurysms with four-dimensional computed tomographic angiography. Neurosurgery 57(3), 460–471 (2005)
Jou, L.D., Quick, C.M., Young, W.L., Lawton, M.T., Higashida, R.T., Martin, A., Saloner, D.: Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms. Am. J. Neuroradiol. 24(9), 1804–1810 (2003)
Jou, L.D., Saloner, D., Higashida, R.: Determining intra-aneurysmal flow for coiled cerebral aneurysm with digital fluoroscopy. Biomed. Eng. Appl. Basis Comm. 16(2), 43–48 (2004)
Juvela, S.: Prehemorrhage risk factors for fatal intracranial aneurysm rupture. Stroke 34(8), 1852–1858 (2003)
Kakalis, N.M., Mitsos, A.P., Byrne, J.V., Ventikos, Y.: The haemodynamics of endovascular aneurysm treatment: a computational modelling approach for estimating the influence of multiple coil deployment. IEEE Trans. Med. Imag. 27(6), 814–824 (2008)
Kataoka, K., Taneda, M., Asai, T., Kinoshita, A., Ito, M., Kuroda, R.: Structural fragility and inflammatory response of ruptured cerebral aneurysms. A comparative study between ruptured and unruptured cerebral aneurysms. Stroke 30(7), 1396–1401 (1999)
Kayembe, K., Sasahara, M., Hazama, F.: Cerebral aneurysms and variations in the circle of Willis. Stroke 15(5), 846–850 (1984)
Kim, M., Larrabide, I., Villa-Uriol, M.C., Frangi, A.F.: Hemodynamic alterations of a patient-specific intracranial aneurysm induced by virtual deployment of stents in various axial orientation. In: IEEE International Symposium on Biomedical Imaging, pp.1215–1218. IEEE Press, Piscataway, NJ, USA, Boston, MA, USA (2009)
Kim, M., Taulbee, D., Tremmel, M., Meng, H.: Comparison of two stents in modifying cerebral aneurysm hemodynamics. Ann. Biomed. Eng., 36, 726–741 (2008)
Krings, T., Willems, P., Barfett, J., Ellis, M., Hinojosa, N., Blobel, J., Geibprasert, S.: Pulsatility of an intracavernous aneurysm demonstrated by dynamic 320-detector row CTA at high temporal resolution. Cent. Eur. Neurosurg. 70, 214–218 (2009)
Kroon, M., Holzapfel, G.A.: Estimation of the distributions of anisotropic, elastic properties and wall stresses of saccular cerebral aneurysms by inverse analysis. Proc. R. Soc. A 464(2092), 807–825 (2008)
Larrabide, I., Kim, M., Augsburger, L., Villa-Uriol, M., Rüfenacht, D., Frangi, A.: Fast virtual deployment of self-expandable stents: Method and in-vitro validation for intracranial aneurysmal stenting. Med. Image Anal. doi:10.1016/j.media.2010.04.009. http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6W6Y-50297P9-1&_user=1517318&_coverDate=05\%2F11\%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000053451&_version=1&_urlVersion=0&_ userid=1517318&md5=5d3dad8469974f524b33d553ffa8aa13&searchtype=a (2010)
Larrabide, I., Radaelli, A.G., Frangi, A.F.: Fast virtual stenting with deformable meshes: Application to intracranial aneurysms. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes in Computer Science, vol.5242, pp.790–797. Springer, Berlin, Heidelberg, New York, USA (2008)
Liou, T.M., Li, Y.C.: Effects of stent porosity on hemodynamics in a sidewall aneurysm model. J. Biomech. Eng. 41(6), 1174–1183 (2008)
Lo, C., Don, H.: 3-D moments forms: Their construction and application to object identification and positioning. IEEE Trans. Pattern. Anal. Mach. Intell. 11(10), 1053–1064 (1989)
Lylyk, P., Ferrario, A., Pasbon, B., Miranda, C., Doroszuk, G.: Buenos Aires experience with the Neuroform self-expanding stent for the treatment of intracranial aneurysms. J. Neurosurg. 102(2), 235–241 (2005)
Ma, B., Harbaugh, R.E., Raghavan, M.L.: Three-dimensional geometrical characterization of cerebral aneurysms. Ann. Biomed. Eng. 32(2), 264–273 (2004)
Millan, R., Dempere-Marco, L., Pozo, J.M., Cebral, J.R., Frangi, A.F.: Morphological characterization of intracranial aneurysms using 3-D moment invariants. IEEE Trans. Med. Imag. 26(9), 1270–1282 (2007)
Morales, H., Kim, M., Villa-Uriol, M.C., Vivas, E., Frangi, A.F.: Influence of coil packing rate and configuration on intracranial aneurysm hemodynamics. In: Dössel, O., Schlegel, W.C. (eds.) 11th International Congress of the IUPESM, Medical Physics and Biomedical Engineering, World Congress 2009, IFMBE Proceedings, vol.25/4, pp.2291–2294. Springer, Berlin, Heidelberg, Munich, Germany (2009)
Narracott, A., Smith, S., Lawford, P., Liu, H., Himeno, R., Wilkinson, I., Griffiths, P., Hose, R.: Development and validation of models for the investigation of blood clotting in idealized stenoses and cerebral aneurysms. J. Artif. Organs 8, 56–62 (2005)
@neurIST Consortium (2010) Integrated biomedical informatics for the management of cerebral aneurysms. http://www.aneurist.org
Novotni, M., Klein, R.: Shape retrieval using 3D Zernike descriptors. Comput. Aided Des. 36, 1047–1062 (2004)
Olufsen, M.S., Nadim, A., Lipsitz, L.A.: Dynamics of cerebral blood flow regulation explained using a lumped parameter model. Am. J. Physiol., Reg. Int. Comp. Physiol. 282, R611–R622 (2002)
Oubel, E., De Craene, M., Putman, C.M., Cebral, J.R., Frangi, A.F.: Analysis of intracranial aneurysm wall motion and its effects on hemodynamic patterns. In: SPIE Medical Imaging: Physics of Medical Imaging Image Reconstruction, vol.6511, p.65112A (2007)
Piotin, M., Mandai, S., Murphy, K.J., Sugiu, K., Gailloud, P., Martin, J.B., Rüfenacht, D.A.: Dense packing of cerebral aneurysms: an in vitro study with detachable platinum coils. Am. J. Neuroradiol. 21, 757–760 (2000)
Pozo, J.M., Villa-Uriol, M., Frangi, A.F.: Efficient 3D Geometric and Zernike moments computation from unstructured surface meshes. IEEE Trans. Pattern. Anal. Mach. Intell. http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.139 April (2011)
Radaelli, A., Augsburger, L., Cebral, J., Ohta, M., Rüfenacht, D., Balossino, R., Benndorf, G., Hose, D., Marzo, A., Metcalfe, R., Mortier, P., Mut, F., Reymond, P., Socci, L., Verhegghe, B., 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), 2069–2081 (2008)
Raghavan, M.L., Ma, B., Harbaugh, R.E.: Quantified aneurysm shape and aneurysm rupture. J. Neurosurg. 102(2), 355–362 (2005)
Raymond, J., Guilbert, F., Weill, A., Georganos, S.A., Juravsky, L., Lambert, A., Lamoureux, J., Chagnon, M., Roy, D.: Long-term angiographic recurrences after selective endovascular treatment of aneurysms with detachable coils. Stroke 34, 1398–1403 (2003)
Rohde, S., Lahmann, K., Beck, J., Nafe, R., Yan, B., Raabe, A., Berkefeld, J.: Fourier analysis of intracranial aneurysms: towards an objective and quantitative evaluation of the shape of aneurysms. Neuroradiology 47, 121–126 (2005)
Satoh, T., Onoda, K., Tsuchimoto, S.: Visualization of intraaneurysmal flow patterns with transluminal flow images of 3D MR angiograms in conjunction with aneurysmal configurations. Am. J. Neuroradiol. 24(7), 1436–1445 (2004)
Schievink, W.: Intracranial aneurysms. New Engl. J. Med. 336, 28–41 (1997)
Singh, P., Marzo, A., Coley, S., Berti, G., Bijlenga, P., Lawford, P., Villa-Uriol M.C., Rüfenacht, D., McCormack, K., Frangi, A.F., Patel, U., Hose, D.R.: The role of computational fluid dynamics in the management of unruptured intracranial aneurysms: a clinicians’ view. Comput. Intell. Neurosci. 2009(760364), 1–12 (2009)
Sluzewski, M., van Rooij, W.J., Slob, M.J., Bescós, J.O., Slump, C.H., Wijnalda, D.: Relation between aneurysm volume, packing, and compaction in 145 cerebral aneurysms treated with coils. Radiology 231, 653–658 (2004)
Steinman, D., Milner, J., Norley, C., Lownie, S., Holdsworth, D.: Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. Am. J. Neuroradiol. 24, 559–566 (2003)
STEP Consortium (2007) Seeding the EuroPhysiome: A roadmap to the Virtual Physiological Human. http://www.europhysiome.org/roadmap
Stuhne, G.R., Steinman, D.A.: Finite-element modeling of the hemodynamics of stented aneurysms. J. Biomech. Eng. 126(3), 382–387 (2004)
Taylor, C., Humphrey, J.: Open problems in computational vascular biomechanics: Hemodynamics and arterial wall mechanics. Comput. Meth. Appl. Mech. Eng. 198, 3514–3523 (2009)
Ujiie, H., Tachibana, H., Hiramatsu, O., Hazel, A.L., Matsumoto, T., Ogasawara, Y., Nakajima, H., Hori, T., Takakura, K., Kajiya, F.: Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: A possible index for surgical treatment of intracranial aneurysms. Neurosurgery 45(1), 119–130 (1999)
Viceconti, M., Clapworthy, G., Van Sint Jan, S.: The Virtual Physiological Human – a European initiative for in silico human modelling –. J. Physiol. Sci. 58(7), 441–447 (2008)
White, J.B., Ken, C.G., Cloft, H.J., Kallmes, D.F.: Coils in a nutshell: a review of coil physical properties. Am. J. Neuroradiol. 29(7), 1242–1246 (2008)
Wiebers, D.: The international study of unruptured intracranial aneurysms investigators. Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 362(9378), 103–110 (2003)
Zhang, C., De Craene, M., Villa-Uriol, M.C., Pozo, J.M., Bijnens, B.H., Frangi, A.F.: Estimating continuous 4D wall motion of cerebral aneurysms from 3D rotational angiography. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI, Lecture Notes on Computer Science, vol.5761, pp.140–147. Springer, Berlin, Heidelberg, London, UK (2009)
Zhang, C., Villa-Uriol, M.C., De Craene, M., Pozo, J.M., Frangi, A.F.: Morphodynamic analysis of cerebral aneurysm pulsation from time-resolved rotational angiography. IEEE Trans. Med. Imag. 28(7), 1105–1116 (2009)
Zhang, C., Villa-Uriol, M.C., Frangi, A.F.: Evaluation of an efficient GPU implementation of digitally reconstructed radiographs in 3D/2D image registration. In: SPIE Medical Imaging: Image Processing, p. 762333 (2010)
Acknowledgements
This work was partially supported by the @neurIST Integrated Project (co-financed by the European Commission through the contract no. IST-027703), the CDTI CENIT-CDTEAM grant funded by the Spanish Ministry of Science and Innovation (MICINN-CDTI) and Philips Healthcare (Best, The Netherlands). The authors would also like to thank the support provided by ANSYS Inc.(Canonsburg, PA, USA).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Villa-Uriol, M.C. et al. (2011). Cerebral Aneurysms: A Patient-Specific and Image-Based Management Pipeline. In: Tavares, J., Jorge, R. (eds) Computational Vision and Medical Image Processing. Computational Methods in Applied Sciences, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0011-6_19
Download citation
DOI: https://doi.org/10.1007/978-94-007-0011-6_19
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0010-9
Online ISBN: 978-94-007-0011-6
eBook Packages: EngineeringEngineering (R0)