Toward integrated management of cerebral aneurysms

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 368, Issue 1921, 2010, Pages 2961-2982

  Villa Uriol, M C ^a,b   Larrabide, I ^a,b   Pozo, J M ^a,b   Kim, M ^a,b   Camara, O ^a,b   De Craene, M ^a,b   Zhang, C ^a,b   Geers, A J ^a,b   Morales, H ^a,b   Bogunovic H ^a,b   Cardenes, R ^a,b   Frangi, A F ^a,b,c  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

Cerebral aneurysms; Computational haemodynamics; Image segmentation; Morphological characterization; Virtual physiological human; Virtual treatment

Indexed keywords

BIOMECHANICS; DIGITAL IMAGE STORAGE; FLUID STRUCTURE INTERACTION; HEMODYNAMICS; HYDRODYNAMICS; IMAGE SEGMENTATION;

CEREBRAL ANEURYSMS; COMPUTATIONAL HAEMODYNAMICS; HAEMODYNAMICS; MORPHOLOGICAL CHARACTERIZATION; VIRTUAL PHYSIOLOGICAL HUMAN;

VIRTUAL REALITY;

ANEURYSM RUPTURE; APPARATUS, EQUIPMENT AND SUPPLIES; ARTICLE; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; BIOMECHANICS; BRAIN ANGIOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; DIAGNOSTIC IMAGING; DISEASE MANAGEMENT; HEMODYNAMICS; HUMAN; INTRACRANIAL ANEURYSM; MOVEMENT (PHYSIOLOGY); PATHOPHYSIOLOGY; PERSONALIZED MEDICINE; PROGNOSIS; RADIOGRAPHY; STENT;

ANEURYSM, RUPTURED; BIOMECHANICS; CEREBRAL ANGIOGRAPHY; DIAGNOSTIC IMAGING; DISEASE MANAGEMENT; EQUIPMENT AND SUPPLIES; HEMODYNAMICS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INDIVIDUALIZED MEDICINE; INTRACRANIAL ANEURYSM; MODELS, ANATOMIC; MODELS, BIOLOGICAL; MOVEMENT; PROGNOSIS; STENTS; USER-COMPUTER INTERFACE;

EID: 77954514625     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2010.0095     Document Type: Article

References (90)

1. Alastruey, J., Parker, K., Peiŕ, J., Byrd, S. & Sherwin, S. 2007 Modelling the circle of Willis to assess the effects of anatomical variations and occlusions on cerebral flows. J. Biomech. 40, 1794-1805. (doi:10.1016/j.jbiomech.2006.07.008) (Pubitemid 46702138)
2. Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A. & Steinman, D. 2008 An image-based modeling framework for patient-specific computational hemodynamics. Med. Biol. Eng. Comput. 46, 1097-1112. (doi:10.1007/s11517-008-0420-1)
3. Arbona, A., Benkner, S., Fingberg, J., Frangi, A. F., Hofmann, M., Hose, D. R., Lonsdale, G., Ruefenacht, D. & Viceconti, M. 2006 Outlook for grid service technologies within the @neurIST eHealth environment. Stud. Health Technol. Inform. 120, 401-404.
4. Arbona, A., Benkner, S., Engelbrecht, G., Fingberg, J., Hofmann, M., Kumpf, K., Lonsdale, G. & Woehrer, A. 2007 A service-oriented grid infrastructure for biomedical data and compute services. IEEE Trans. Nanobiosci. 6, 136-141.
5. Balocco, S., Camara, O. & Frangi, A. F. 2008 Towards regional elastography of intracranial aneurysms. In Med. Image Comp. Assist. Interv. (eds D. Metaxas, L. Axel, G. Fichtinger & G. Sz'kely). Lecture Notes on Computer Science, no. 5242, pp. 131-138. Berlin, Germany: Springer-Verlag. (doi:10.1007/978-3-540-85990-1)
6. Blanco, P. J., Feij́o, R. A. & Urquiza, S. A. 2007 A unified variational approach for coupling 3D-1D models and its blood flow applications. Comput. Method. Appl. Mech. 196, 4391-4410. (doi:10.1016/j.cma.2007.05.008) (Pubitemid 47207766)
7. Bogunoví, H., Radaelli, A., De Craene, M., Delgado, D. & Frangi, A. F. 2008 Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. In SPIE Medical Imaging 2008: image processing, vol. 6914 (eds J. Reinhardt & J. Pluim). Bellingham, WA: Society of Photo-Optical Instrumentation Engineers. (doi:10.1117/12.770564) (Pubitemid 351668454)
8. Boussel, L. et al. 2008 Aneurysm growth occurs at region of low wall shear stress: patient-specific correlation of hemodynamics and growth in a longitudinal study. Stroke 39, 2997-3002. (doi:10.1161/STROKEAHA.108.521617)
9. Brisman, J., Song, J., Niimi, Y. & Berenstein, A. 2005 Treatment options for wide-necked intracranial aneurysms using a self-expandable hydrophilic coil and a self-expandable stent combination. Am. J. Neuroradiol. 26, 1237-1240.
10. Brisman, J., Song, J. & Newell, D. 2006 Medical progress: cerebral aneurysms. N. Engl. J. Med. 355, 928-939.
11. Calamante, F., Yim, P. & Cebral, J. R. 2003 Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. Neuroimage 19, 341-353. (doi:10.1016/S1053-8119(03)00090-9) (Pubitemid 39665685)
12. Castro, M. A., Putman, C. M. & Cebral, J. R. 2006 Patient-specific computational modeling of cerebral aneurysms with multiple avenues of flow from 3D rotational angiography images. Acad. Radiol. 13, 811-821. (doi:10.1016/j.acra.2006.03.011) (Pubitemid 43866525)
13. Cebral, J. R. & L̈hner, R. 2005 Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique. IEEE Trans. Med. Imaging, 24, 468-476. (doi:10.1109/TMI.2005.844172) (Pubitemid 40538204)
14. Cebral, J., Castro, M., Satoh, T. & Burgess, J. 2004 Evaluation of image-based CFD models of cerebral aneurysm using MRI. In Proc. ISMRM Flow Motion Workshop, Zurich, Switzerland, pp. 11-13.
15. Cebral, J. R., Castro, M. A., Appanaboyina, S., Putman, C. M., Millan, D. & Frangi, A. F. 2005 Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans. Med. Imaging 24, 457-467. (doi:10.1109/TMI.2005.844159) (Pubitemid 40538203)
16. Cebral, J. R., Pergolizzi, R. & Putman, C. M. 2007 Computational fluid dynamics modeling of intracranial aneurysms: qualitative comparison with cerebral angiography. Acad. Radiol. 14, 804-813. (doi:10.1016/j.acra.2007.03. 008) (Pubitemid 46901110)
17. Chang, H.-H., Duckwiler, G. R., Valentino, D. J. & Chu, W. C. 2009 Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling. Med. Phys. 36, 5612-5621. (doi:10.1118/1.3260841)
18. Christie, G. R., Nielsen, P. M., Blackett, S. A., Bradley, C. P. & Hunter, P. J. 2009 FieldML: concepts and implementation. Phil. Trans. R. Soc. A 367, 1869-1884. (doi:10.1098/rsta.2009.0025)
19. De Craene, M., Pozo, J. M., Villa-Uriol, M. C., Vivas, E., Sola, T., Guimaraens, L., Blasco, J., Macho, J. & Frangi, A. F. 2008 Coil compaction and aneurysm growth: image-based quantification using non-rigid registration. In Medical imaging 2008: computer-aided diagnosis, vol. 6915 (eds M. Giger & N. Karssemeijer). Bellingham, WA: Society of Photo-Optical Instrumentation Engineers. (doi:10.1117/12.770637) (Pubitemid 351747624)
20. De Craene, M., Camara, O., Bijnens, B. H. & Frangi, A. F. 2009 Non-stationary diffeomorphic registration: application to endovascular treatment monitoring. In Medical imaging 2009: image processing, vol. 7259 (eds J. P. W. Pluim & B. M. Dawant). Bellingham, WA: Society of Photo-Optical Instrumentation Engineers.
21. Delingette, H. 1999 General object reconstruction based on simplex meshes. Int. J. Comp. Vis. 32, 111-146.
22. Dempere-Marco, L., Oubel, E., Castro, M. A., Putman, C. M., Millan, R. D. & Frangi, A. F. 2006 CFD analysis incorporating the influence of wall motion: application to intracranial aneurysms. In Med. Image Comp. Comp. Assist. Interv. (eds R. Larsen, M. Nielsen & J. Sporring). Lecture Notes on Computer Science, no. 4191, pp. 438-445. Berlin, Germany: Springer-Verlag. (doi:10.1007/11866763)
23. Dunlop, R. et al.2008 @neurIST-chronic disease management through integration of heterogeneous data and computer-interpretable guideline services. Stud. Health Technol. Inform. 138, 173-177.
24. Fenner, J. et al. 2008 The EuroPhysiome, STEP and a roadmap for the virtual physiological human. Phil. Trans. R. Soc. A 366, 2979-2999. (doi:10.1098/rsta.2008.0089)
25. Flore, E., Larrabide, I., Petrini, L., Pennati, G. & Frangi, A. F. 2009 Stent deployment in aneurysmatic cerebral vessels: assessment and quantification of the differences between fast virtual stenting and finite element analysis. In Proc. CI2BM09-MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, vol. 5242, pp. 790-797. Berlin, Germany: Springer-Verlag.
26. Ford, M., Alperin, N., Lee, S., Holdsworth, D. & Steinman, D. 2005a Characterization of volumetric flow rate waveforms in the normal internal carotid and vertebral arteries. Physiol. Meas. 26, 477-488. (doi:10.1088/0967- 3334/26/4/013) (Pubitemid 40768145)
27. Ford, M., Stuhne, G., Nikolov, H., Habets, D., Lownie, S., Holdsworth, D. & Steinman, D. 2005b Virtual angiography for visualization and validation of computational models of aneurysm hemodynamics. IEEE Trans. Med. Imaging 24, 1586-1592. (doi:10.1109/TMI.2005.859204) (Pubitemid 41812026)
28. 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. 2008 PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models. J. Biomech. Eng. 130, 021015. (doi:10.1115/1.2900724) (Pubitemid 351975661)
29. Friedrich, C. M., Dach, H., Gattermayer, T., Engelbrecht, G., Benkner, S. & Hofmann-Apitius, M. 2008 @neuLink: a service-oriented application for biomedical knowledge discovery. Stud. Health Technol. Inform. 138, 165-172.
30. Funamoto, K., Suzuki, Y., Hayase, T., Kosugi, T. & Isoda, H. 2009 Numerical evaluation of MR-measurement-integrated simulation of unsteady hemodynamics in a cerebral aneurysm. In Proc. 13th Int. Conf. Biomed. Eng. IFMBE Proceedings, no. 23, pp. 2188-2191. Berlin, Germany: Springer. (doi:10.1007/978-3-540-92841-6-547)
31. Ganguly, A., Rudin, S., Bednarek, D., Hoffmann, K. & Kyprianou, I. 2003 Micro-angiography for neuro-vascular imaging. I. Experimental evaluation and feasibility. Med. Phys. 30, 3018-3028. (doi:10.1118/1.1617549) (Pubitemid 37444312)
32. Garny, A., Nickerson, D. P., Cooper, J., Weber dos Santos, R., Miller, A. K., McKeever, S., Nielsen, P. M. & Hunter, P. J. 2008 CellML and associated tools and techniques. Phil. Trans. Soc. A 366, 3017-3043. (doi:10.1098/rsta. 2008.0094)
33. Geers, A., Larrabide, I., Radaelli, A. G., Bogunoví, H., Gratama van Andel, H. A. F., Majoie, C. B. & Frangi, A. F. 2009 Reproducibility of image-based computational hemodynamics in intracranial aneurysms: comparison of CTA and 3DRA. In Proc. IEEE Int. Symp. Biomed. Imaging, pp. 610-613. Piscataway, NJ: IEEE Press. (doi:10.1109/ISBI.2009.5193121)
34. Guglielmi, G., Vĩuela, F., Dion, J. & Duckwiler, G. 1991 Electrothrombosis of saccular aneurysms via endovascular approach. Part 2. Preliminary clinical experience. J. Neurosurg. 75, 8-14. (doi:10.3171/jns.1991. 75.1.0008)
35. Hayakawa, M. et al. 2005 CT angiography with electrocardiographically gated reconstruction for visualizing pulsation of intracranial aneurysms: identification of aneurysmal protuberance presumably associated with wall thinning. Am. J. Neuroradiol. 26, 1366-1369.
36. Hernandez, M. & Frangi, A. F. 2007 Non-parametric geodesic active regions: method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA. Med. Image Anal. 11, 224-241. (doi:10.1016/j.media.2007.01.002) (Pubitemid 46768012)
37. Hoi, Y., Woodward, S., Kim, M., Taulbee, D. & Meng, H. 2006 Validation of CFD simulations of cerebral aneurysms with implication of geometric variations. J. Biomech. Eng. 128, 844-851.(doi:10.1115/1.2354209) (Pubitemid 46144914)
38. Hunter, P. & Borg, T. 2003 Integration from proteins to organs: the Physiome Project. Nature 4, 237-243. (doi:10.1038/nrm1017) (Pubitemid 36172699)
39. Hunter, P., Robbins, P. & Noble, D. 2002 The IUPS Human Physiome Project. Eur. J. Physiol. 445, 1-9. (doi:10.1007/s00424-002-0890-1) (Pubitemid 35370407)
40. Iavindrasana, J. et al. 2008 The @neurIST project. Stud. Health Technol. Inform. 138, 161-164.
41. Jou, L.-D., Quick, C. M., Young, W. L., Lawton, M. T., Higashida, R. T., Martin, A. & Saloner, D. 2003 Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms. Am. J. Neuroradiol. 24, 1804-1810.
42. Juvela, S. 2003 Prehemorrhage risk factors for fatal intracranial aneurysm rupture. Stroke 34, 1852-1858. (doi:10.1161/01.STR.0000080380.56799.DD) (Pubitemid 36944767)
43. Kakalis, N. M., Mitsos, A. P., Byrne, J. V. & Ventikos, Y. 2008 The haemodynamics of endovascular aneurysm treatment: a computational modelling approach for estimating the influence of multiple coil deployment. IEEE Trans. Med. Imaging 27, 814-824. (doi:10.1109/TMI.2008.915549) (Pubitemid 351760853)
44. Kayembe, K., Sasahara, M. & Hazama, F. 1984 Cerebral aneurysms and variations in the circle of Willis. Stroke 15, 846-850.
45. Kim, M., Taulbee, D., Tremmel, M. & Meng, H. 2008 Comparison of two stents in modifying cerebral aneurysm hemodynamics. Ann. Biomed. Eng. 36, 726-741. (doi:10.1007/s10439-008-9449-4)
46. Kim, M., Larrabide, I., Villa-Uriol, M. C. & Frangi, A. F. 2009 Hemodynamic alterations of a patient-specific intracranial aneurysm induced by virtual deployment of stents in various axial orientation. In Proc. IEEE Int. Symp. Biomed. Imag., pp. 1215-1218. Piscataway, NJ: IEEE Press. (doi:10.1109/ISBI.2009.5193280)
47. Krissian, K., Bogunoví, H., Pozo, J. M., Villa-Uriol, M. C. & Frangi, A. F. 2008 Minimally interactive knowledge-based coronary tracking in CTA using a minimal cost path. Midas J. 2008 MICCAI Workshop-Grand Challenge Coronary Artery Tracking. See http://hdl.handle.net/10380/1435.
48. Kroon, M. & Holzapfel, G. A. 2008 Estimation of the distributions of anisotropic, elastic properties and wall stresses of saccular cerebral aneurysms by inverse analysis. Proc. R. Soc. A 464, 807-825. (doi:10.1098/rspa.2007.0332) (Pubitemid 351270079)
49. Larrabide, I., Radaelli, A. G. & Frangi, A. F. 2008 Fast virtual stenting with deformable meshes: application to intracranial aneurysms. In Med. Image Comp. Comp. Assist. Interv. (eds D. Metaxas, L. Axel, G. Fichtinger & G. Sz'kely). Lecture Notes in Computer Science, no. 5242, pp. 790-797. Berlin, Germany: Springer-Verlag. (doi:10.1007/978-3-540-85990-1)
50. Larrabide, I. et al. 2009 GIMIAS: an open source framework for efficient development of research tools and clinical prototypes. In Functional imaging and modeling of the heart. Lecture Notes in Computer Science, no. 5528/2009, pp. 417-426. Berlin, Germany: Springer. (doi:10.1007/978-3-642-01932-6)
51. Liang-Der, J., Saloner, D. & Higashida, R. 2004 Determining intra-aneurysmal flow for coiled cerebral aneurysm with digital fluoroscopy. Biomed. Eng. Appl. Basis Comm. 16, 43-48. (doi:10.4015/S1016237204000086)
52. Liou, T. M. & Li, Y. C. 2008 Effects of stent porosity on hemodynamics in a sidewall aneurysm model. J. Biomech. 41, 1174-1183. (doi:10.1016/j.jbiomech.2008.01.025)
53. Lloyd, C. M., Lawson, J. L., Hunter, P. J. & Nielsen, P. F. 2008 The CellML model repository. Bioinformatics 24, 2122-2123. (doi:10.1093/ bioinformatics/btn390)
54. Lo, C. & Don, H. 1989 3-D moments forms: their construction and application to object identification and positioning. IEEE Trans. Pattern Anal. Mach. Intell. 11, 1053-1064. (doi:10.1109/34.42836) (Pubitemid 20628920)
55. Lylyk, P., Ferrario, A., Pasbon, B., Miranda, C. & Doroszuk, G. 2005 Buenos Aires experience with the Neuroform self-expanding stent for the treatment of intracranial aneurysms. J. Neurosurg. 102, 235-241.
56. Ma, B., Harbaugh, R. E. & Raghavan, M. L. 2004 Three-dimensional geometrical characterization of cerebral aneurysms. Ann. Biomed. Eng. 32, 264-273.
57. Meng, H., Wang, Z., Hoi, Y., Gao, L., Metaxa, E., Swartz, D. & Kolega, J. 2007 Complex hemodynamics at the apex of an arterial bifurcation induces vascular remodeling resembling cerebral aneurysm initiation. Stroke 38, 1924-1931. (doi:10.1161/STROKEAHA.106.481234) (Pubitemid 46847270)
58. Millan, R., Dempere-Marco, L., Pozo, J. M., Cebral, J. R. & Frangi, A. F. 2007 Morphological characterization of intracranial aneurysms using 3-D moment invariants. IEEE Trans. Med. Imaging 26, 1270-1282. (doi:10.1109/TMI. 2007.901008) (Pubitemid 47383447)
59. Morales, H., Kim, M., Villa-Uriol, M. C., Vivas, E. & Frangi, A. F. 2009 Influence of coil packing rate and configuration on intracranial aneurysm hemodynamics. In Proc. 11th Int. Congr, of the IUPESM, Medical Physics and Biomedical Engineering, World Congress 2009, vol. 25/4 (eds O. D"ssel & W. C. Schlegel), pp. 2291-2294. Berlin: Springer. (doi:10.1007/978-3-642-03882- 2-609)
60. Narracott, A., Smith, S., Lawford, P., Liu, H., Himeno, R., Wilkinson, I., Griffiths, P. & Hose, R. 2005 Development and validation of models for the investigation of blood clotting in idealized stenoses and cerebral aneurysms. J. Artif. Organs 8, 56-62. (doi:10.1007/s10047-004-0274-8) (Pubitemid 40884706)
61. Novotni, M. & Klein, R. 2004 Shape retrieval using 3D Zernike descriptors. Comput. Aided Des. 36, 1047-1062.
62. Olufsen, M. S., Nadim, A. & Lipsitz, L. A. 2002 Dynamics of cerebral blood flow regulation explained using a lumped parameter model. Am. J. Physiol. Regul. Integr. Comp. Physiol. 282, R611-R622.
63. Oubel, E., De Craene, M., Putman, C. M., Cebral, J. R. & Frangi, A. F. 2007 Analysis of intracranial aneurysm wall motion and its effects on hemodynamic patterns. In SPIE medical imaging: physics of medical imaging image reconstruction (eds A. Manduca & X. P. Hu). Lecture Notes on Computer Science, no. 6511. Berlin, Germany: Springer-Verlag. (doi:10.1117/12.708937) (Pubitemid 47550404)
64. Piccinelli, M., Veneziani, A., Steinman, D., Remuzzi, A. & Antiga, L. 2009 A framework for geometric analysis of vascular structures: application to cerebral aneurysms. IEEE Trans. Med. Imaging 28, 1141-1155. (doi:10.1109/TMI. 2009.2021652)
65. Piotin, M., Mandai, S., Murphy, K. J., Sugiu, K., Gailloud, P., Martin, J. B. & R̈fenacht, D. A. 2000 Dense packing of cerebral aneurysms: an in vitro study with detachable platinum coils. Am. J. Neuroradiol. 21, 757-760.
66. Radaelli, A. G., Sola Mart́nez, T., Vivas D́az, E., Mellado, X., Castro, M. A., Putman, C. M., Guimaraens, L., Cebral, J. R. & Frangi, A. F. 2007 Combined clinical and computational information in complex cerebral aneurysms: application to mirror cerebral aneurysms. In SPIE medical imaging: physiology, function, and structure from medical images (eds A. Manduca & X. P. Hu). Lecture Notes on Computer Science, no. 6511. Berlin, Germany: Springer-Verlag. (doi:10.1117/12.708955) (Pubitemid 47550377)
67. Radaelli, A. et al. 2008 Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model. A report on the Virtual Intracranial Stenting Challenge 2007. J. Biomech. 41, 2069-2081. (doi:10.1016/j.jbiomech. 2008.04.035)
68. Raghavan, M. L., Ma, B. & Harbaugh, R. E. 2005 Quantified aneurysm shape and aneurysm rupture. J. Neurosurg. 102, 355-362.
69. Raymond, J., Guilbert, F., Weill, A., Georganos, S. A., Juravsky, L., Lambert, A., Lamoureux, J., Chagnon, M. & Roy, D. 2003 Long-term angiographic recurrences after selective endovascular treatment of aneurysms with detachable coils. Stroke 34, 1398-1403. (doi:10.1161/01.STR.0000073841. 88563.E9) (Pubitemid 36693505)
70. Rohde, S., Lahmann, K., Beck, J., Nafe, R., Yan, B., Raabe, A. & Berkefeld, J. 2005 Fourier analysis of intracranial aneurysms: towards an objective and quantitative evaluation of the shape of aneurysms. Neuroradiology 47, 121-126.
71. Rudin, S., Bednarek, D. & Hoffmann, K. 2008 Endovascular image-guided interventions (EIGIs). Med. Phys. 35, 301-309.
72. San Milĺn, Ruiz, D., Yilmaz, H., Dehashti, A., Alimenti, A., de Tribolet, N. & R̈fenacht, D. 2006 The perianeurysmal environment: influence on saccular aneurysm shape and rupture. Am. J. Neuroradiol. 27, 504-512.
73. Satoh, T., Onoda, K. & Tsuchimoto, S. 2004 Visualization of intraaneurysmal flow patterns with transluminal flow images of 3D MR angiograms in conjunction with aneurysmal configurations. Am. J. Neuroradiol. 24, 1436-1445.
74. Schaap, M. et al. 2009 Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Med. Image Anal. 13, 701-714. (doi:10.1016/j.media.2009.06.003)
75. Singh, P. et al. 2009 The role of computational fluid dynamics in the management of unruptured intracranial aneurysms: a clinicians' view. Comput. Intell. Neurosci. 2009, 1-12. (doi:10.1155/2009/760364)
76. Sluzewski, M., van Rooij, W. J., Slob, M. J., Bescós, J. O., Slump, C. H. & Wijnalda, D. 2004 Relation between aneurysm volume, packing, and compaction in 145 cerebral aneurysms treated with coils. Radiology 231, 653-658. (doi:10.1148/radiol.2313030460) (Pubitemid 38668079)
77. Steinman, D., Milner, J., Norley, C., Lownie, S. & Holdsworth, D. 2003 Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. Am. J. Neuroradiol. 24, 559-566.
78. Stuhne, G. R. & Steinman, D. A. 2004 Finite-element modeling of the hemodynamics of stented aneurysms. J. Biomech. Eng. 126, 382-387.
79. Taylor, C. & Humphrey, J. 2009 Open problems in computational vascular biomechanics: hemodynamics and arterial wall mechanics. Comput. Methods Appl. Mech. Eng. 198, 3514-3523. (doi:10.1016/j.cma.2009.02.004)
80. Ujiie, H. et al. 1999 Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: a possible index for surgical treatment of intracranial aneurysms. Neurosurgery 45, 119-130.
81. Vanninen, R., Manninen, H. & Ronkainen, A. 2003 Broad-based intracranial aneurysms: thrombosis induced by stent placement. Am. J. Neuroradiol. 24, 263-266.
82. Viceconti, M., Taddei, F., Montanari, L., Testi, D., Leardini, A., Clapworthy, G. & Van Sint Jan, S. 2007a Multimod Data Manager: a tool for data fusion. Comput. Methods Programs Biomed. 87, 148-159. (doi:10.1016/j.cmpb. 2007.05.002) (Pubitemid 47023101)
83. Viceconti, M., Zannoni, C., Testi, D., Petrone, M., Perticoni, S., Quadrani, P., Taddei, F., Imboden, S. & Clapworthy, G. 2007b The multimod application framework: a rapid application development tool for computer aided medicine. Comput. Methods Programs Biomed. 85, 138-151. (doi:10.1016/j.cmpb. 2006.09.010) (Pubitemid 46127583)
84. Viceconti, M., Clapworthy, G. & Van Sint Jan, S. 2008 The virtual physiological human-a European initiative for in silico human modelling. J. Physiol. Sci. 58, 441-447. (doi:10.2170/physiolsci.RP009908)
85. Watton, P. & Ventikos, Y. 2009 Modelling evolution of saccular cerebral aneurysms. J. Strain Anal. Eng. 44, 375-389. (doi:10.1243/ 03093247JSA492)
86. Watton, P. N., Raberger, N. B., Holzapfel, G. A. & Ventikos, Y. 2009a Coupling the hemodynamic environment to the evolution of cerebral aneurysms: computational framework and numerical examples. J. Biomech. Eng. 131, 101003. (doi:10.1115/1.3192141)
87. Watton, P. N., Ventikos, Y. & Holzapfel, G. A. 2009b Modelling the growth and stabilization of cerebral aneurysms. Math. Med. Biol. 26, 133-164. (doi:10.1093/imammb/dqp001)
88. Wiebers, D. & The International Study of Unruptured Intracranial Aneurysms Investigators 2003 Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 362, 103-110. (doi:10.1016/S0140-6736(03)13860-3) (Pubitemid 36831019)
89. Zhang, C., De Craene, M., Villa-Uriol, M. C., Pozo, J. M., Bijnens, B. H. & Frangi, A. F. 2009a Estimating continuous 4D wall motion of cerebral aneurysms from 3D rotational angiography. In Med. Imag. Comp. Comp. Assist. Interv. MICCAI (eds G.-Z. Yang, D. Hawkes, D. Rueckert, A. Noble & C. Taylor). Lecture Notes on Computer Science, no. 5761, pp. 140-147. Berlin, Germany: Springer-Verlag. (doi:10.1007/978-3-642-04268-3)
90. Zhang, C., Villa-Uriol, M. C., De Craene, M., Pozo, J. M. & Frangi, A. F. 2009b Morphodynamic analysis of cerebral aneurysm pulsation from time-resolved rotational angiography. IEEE Trans. Med. Imaging 28, 1105-1116. (doi:10.1109/TMI.2009.2012405)