Abstract
We review the literature on patient-specific vascular modeling, with particular attention paid to three-dimensional arterial networks. Patient-specific vascular modeling typically involves three main steps: image processing, analysis suitable model generation, and computational analysis. Analysis suitable model generation techniques that are currently utilized suffer from several difficulties and complications, which often necessitate manual intervention and crude approximations. Because the modeling pipeline spans multiple disciplines, the benefits of integrating a computer-aided design (CAD) component for the geometric modeling tasks has been largely overlooked. Upon completion of our review, we adopt this philosophy and present a CAD-integrated template-based modeling framework that streamlines the construction of solid non-uniform rational B-spline vascular models for performing isogeometric finite element analysis. Examples of arterial models for mouse and human circles of Willis and a porcine coronary tree are presented.
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References
Taylor CA, Figueroa CA (2009) Patient-specific modeling of cardiovascular mechanics. Annu Rev Biomed Eng 11:109–134. https://doi.org/10.1146/annurev.bioeng.10.061807.160521
Taylor CA, Hughes TJR, Zarins CK (1998) Finite element modeling of three-dimensional pulsatile flow in the abdominal aorta: relevance to atherosclerosis. Ann Biomed Eng 26:975–987. https://doi.org/10.1114/1.140
Taylor CA, Hughes TJR, Zarins CK (1996) Computational investigations in vascular disease. Comput Phys 10:224–232
Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A, Steinman DA (2008) An image-based modeling framework for patient-specific computational hemodynamics. Med Biol Eng Comput 46:1097–1112. https://doi.org/10.1007/s11517-008-0420-1
Taylor CA, Steinman DA (2010) Image-based modeling of blood flow and vessel wall dynamics: applications, methods and future directions. Ann Biomed Eng 38:1188–1203. https://doi.org/10.1007/s10439-010-9901-0
Kim HJ, Vignon-Clementel IE, Coogan JS, Figueroa CA, Jansen KE, Taylor CA (2010) Patient-specific modeling of blood flow and pressure in human coronary arteries. Ann Biomed Eng 38:3195–3209. https://doi.org/10.1007/s10439-010-0083-6
Taylor CA, Fonte TA, Min JK (2013) Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reservescientific basis. J Am Coll Cardiol 61:2233–2241. https://doi.org/10.1016/j.jacc.2012.11.083
Rogers C, Tseng DY, Squire JC, Edelman ER (1999) Balloon-artery interactions during stent placement. Circ Res 84:378–383. https://doi.org/10.1161/01.RES.84.4.378
Sankaran S, Moghadam ME, Kahn AM, Tseng EE, Guccione JM, Marsden AL (2012) Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery. Ann Biomed Eng 40:2228–2242. https://doi.org/10.1007/s10439-012-0579-3
Hossain SS, Hossainy SFA, Bazilevs Y, Calo VM, Hughes TJR (2012) Mathematical modeling of coupled drug and drug-encapsulated nanoparticle transport in patient-specific coronary artery walls. Comput Mech 49:213–242. https://doi.org/10.1007/s00466-011-0633-2
Hossain SS, Hughes TJR, Decuzzi P (2013) Vascular deposition patterns for catheter-injected nanoparticles in an inflamed patient-specific arterial tree. Biomech Model Mechanobiol. https://doi.org/10.1007/s10237-013-0520-1
Hossain SS, Zhang Y, Fu X, Brunner G, Singh J, Hughes TJR, Shah D, Decuzzi P (2015) Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease. J R Soc Interface 12:20150001. https://doi.org/10.1098/rsif.2015.0001
Hossain SS, Zhang Y, Liang X, Hussain F, Ferrari M, Hughes TJ, Decuzzi P (2012) In silico vascular modeling for personalized nanoparticle delivery. Nanomedicine. https://doi.org/10.2217/nnm.12.124
Cebral JR, Hendrickson S, Putman CM (2009) Hemodynamics in a lethal basilar artery aneurysm just before its rupture. Am J Neuroradiol 30:95–98. https://doi.org/10.3174/ajnr.A1312
Doyle BJ, Callanan A, Burke PE, Grace PA, Walsh MT, Vorp DA, McGloughlin TM (2009) Vessel asymmetry as an additional diagnostic tool in the assessment of abdominal aortic aneurysms. J Vasc Surg 49:443–454. https://doi.org/10.1016/j.jvs.2008.08.064
Neal ML, Kerckhoffs R (2010) Current progress in patient-specific modeling. Brief Bioinform 11:111–126. https://doi.org/10.1093/bib/bbp049
Kim M, Taulbee DB, Tremmel M, Meng H (2008) Comparison of two stents in modifying cerebral aneurysm hemodynamics. Ann Biomed Eng 36:726–741. https://doi.org/10.1007/s10439-008-9449-4
Rayz VL, Boussel L, Lawton MT, Acevedo-Bolton G, Ge L, Young WL, Higashida RT, Saloner D (2008) Numerical modeling of the flow in intracranial aneurysms: prediction of regions prone to thrombus formation. Ann Biomed Eng 36:1793–1804. https://doi.org/10.1007/s10439-008-9561-5
Tan FPP, Soloperto G, Bashford S, Wood NB, Thom S, Hughes A, Xu XY (2008) Analysis of flow disturbance in a stenosed carotid artery bifurcation using two-equation transitional and turbulence models. J Biomech Eng 130:061008. https://doi.org/10.1115/1.2978992
Taylor CA, Hughes TJR, Zarins CK (1998) Finite element modeling of blood flow in arteries. Comput Methods Appl Mech Eng 158:155–196. https://doi.org/10.1016/S0045-7825(98)80008-X
Valencia A, Morales H, Rivera R, Bravo E, Galvez M (2008) Blood flow dynamics in patient-specific cerebral aneurysm models: the relationship between wall shear stress and aneurysm area index. Med Eng Phys 30:329–340. https://doi.org/10.1016/j.medengphy.2007.04.011
Mihalef V, Ionasec RI, Sharma P, Georgescu B, Voigt I, Suehling M, Comaniciu D (2011) Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images. Interface Focus 1:286–296
Hughes TJR, Cottrell JA, Bazilevs Y (2005) Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement. Comput Methods Appl Mech Eng 194:4135–4195. https://doi.org/10.1016/j.cma.2004.10.008
Bazilevs Y, Calo VM, Zhang Y, Hughes TJR (2006) Isogeometric fluid–structure interaction analysis with applications to arterial blood flow. Comput Mech 38:310–322. https://doi.org/10.1007/s00466-006-0084-3
Zhang Y, Bazilevs Y, Goswami S, Bajaj CL, Hughes TJR (2007) Patient-specific vascular NURBS modeling for isogeometric analysis of blood flow. Comput Methods Appl Mech Eng 196:2943–2959. https://doi.org/10.1016/j.cma.2007.02.009
Bazilevs Y, Gohean JR, Hughes TJR, Moser RD, Zhang Y (2009) Patient-specific isogeometric fluid–structure interaction analysis of thoracic aortic blood flow due to implantation of the Jarvik 2000 left ventricular assist device. Comput Methods Appl Mech Eng 198:3534–3550. https://doi.org/10.1016/j.cma.2009.04.015
Hossain SS (2009) Mathematical modeling of coupled drug and drug-encapsulated nanoparticle transport in patient-specific coronary artery walls. Dissertation, University of Texas at Austin
Auricchio F, Conti M, Ferraro M, Morganti S, Reali A, Taylor RL (2015) Innovative and efficient stent flexibility simulations based on isogeometric analysis. Comput Methods Appl Mech Eng 295:347–361. https://doi.org/10.1016/j.cma.2015.07.011
Morganti S, Auricchio F, Benson DJ, Gambarin FI, Hartmann S, Hughes TJR, Reali A (2015) Patient-specific isogeometric structural analysis of aortic valve closure. Comput Methods Appl Mech Eng 284:508–520. https://doi.org/10.1016/j.cma.2014.10.010
Cottrell JA, Hughes TJR, Bazilevs Y (2009) Isogeometric analysis : toward integration of CAD and FEA, 1st edn. Wiley, Hoboken
Autodesk AutoCAD (n.d.) http://www.autodesk.com/products/autocad/overview. Accessed 21 April 2016
SOLIDWORKS (n.d.) http://www.solidworks.com/. Accessed 21 April 2016
Rhinoceros (n.d.) http://www.rhino3d.com/. Accessed 21 April 2016
CATIA (n.d.) http://www.3ds.com/products-services/catia/. Accessed 21 April 2016
Piegl LA, Tiller W (1997) The NURBS book, 2nd edn. Springer, Berlin
Prakash S, Ethier CR (2000) Requirements for mesh resolution in 3D computational hemodynamics. J Biomech Eng 123:134–144. https://doi.org/10.1115/1.1351807
Sankaran S, Grady L, Taylor CA (2015) Impact of geometric uncertainty on hemodynamic simulations using machine learning. Comput Methods Appl Mech Eng 297:167–190. https://doi.org/10.1016/j.cma.2015.08.014
Lai Y, Liu L, Zhang YJ, Chen J, Fang E, Lua J (2015) Rhino 3D to Abaqus: a T-spline based isogeometric analysis software platform. In: Edited Volume of Modeling and Simulation in Science, Engineering and Technology Book Series devoted to AFSI 2014—a birthday celebration conference. Springer, Berlin
Lai Y, Zhang YJ, Liu L, Wei X, Fang E, Lua J (2017) Integrating CAD with Abaqus: a practical isogeometric analysis software platform for industrial applications. Comput Math Appl. https://doi.org/10.1016/j.camwa.2017.03.032
Kuhl E, Maas R, Himpel G, Menzel A (2006) Computational modeling of arterial wall growth. Biomech Model Mechanobiol 6:321–331. https://doi.org/10.1007/s10237-006-0062-x
Castro MA, Putman CM, Cebral JR (2006) Patient-specific computational modeling of cerebral aneurysms with multiple avenues of flow from 3D rotational angiography images. Acad Radiol 13:811–821. https://doi.org/10.1016/j.acra.2006.03.011
Cebral JR, Mut F, Sforza D, Löhner R, Scrivano E, Lylyk P, Putman C (2011) Clinical application of image-based CFD for cerebral aneurysms. Int J Numer Methods Biomed Eng 27:977–992. https://doi.org/10.1002/cnm.1373
Huang Q, Xu J, Cheng J, Wang S, Wang K, Liu J-M (2013) Hemodynamic changes by flow diverters in rabbit aneurysm models: a computational fluid dynamic study based on micro-computed tomography reconstruction. Stroke 44:1936–1941. https://doi.org/10.1161/STROKEAHA.113.001202
Karmonik C, Bismuth J, Davies MG, Shah DJ, Younes HK, Lumsden AB (2011) A computational fluid dynamics study pre- and post-stent graft placement in an acute type B aortic dissection. Vasc Endovasc Surg 45:157–164. https://doi.org/10.1177/1538574410389342
Suh G-Y, Les AS, Tenforde AS, Shadden SC, Spilker RL, Yeung JJ, Cheng CP, Herfkens RJ, Dalman RL, Taylor CA (2010) Quantification of particle residence time in abdominal aortic aneurysms using magnetic resonance imaging and computational fluid dynamics. Ann Biomed Eng 39:864–883. https://doi.org/10.1007/s10439-010-0202-4
Graziano F, Russo VM, Wang W, Khismatullin D, Ulm AJ (2013) 3D computational fluid dynamics of a treated vertebrobasilar giant aneurysm: a multistage analysis. Am J Neuroradiol 34:1387–1394. https://doi.org/10.3174/ajnr.A3373
He Y, Terry CM, Nguyen C, Berceli SA, Shiu Y-TE, Cheung AK (2013) Serial analysis of lumen geometry and hemodynamics in human arteriovenous fistula for hemodialysis using magnetic resonance imaging and computational fluid dynamics. J Biomech 46:165–169. https://doi.org/10.1016/j.jbiomech.2012.09.005
Marsden AL, Bernstein AJ, Reddy VM, Shadden SC, Spilker RL, Chan FP, Taylor CA, Feinstein JA (2009) Evaluation of a novel Y-shaped extracardiac Fontan baffle using computational fluid dynamics. J Thorac Cardiovasc Surg 137:394–403.e2. https://doi.org/10.1016/j.jtcvs.2008.06.043
Kiendl J, Bletzinger K-U, Linhard J, Wüchner R (2009) Isogeometric shell analysis with Kirchhoff–Love elements. Comput Methods Appl Mech Eng 198:3902–3914. https://doi.org/10.1016/j.cma.2009.08.013
Hsu M-C, Akkerman I, Bazilevs Y (2011) High-performance computing of wind turbine aerodynamics using isogeometric analysis. Comput Fluids 49:93–100. https://doi.org/10.1016/j.compfluid.2011.05.002
Hsu M-C, Kamensky D, Xu F, Kiendl J, Wang C, Wu MCH, Mineroff J, Reali A, Bazilevs Y, Sacks MS (2015) Dynamic and fluid–structure interaction simulations of bioprosthetic heart valves using parametric design with T-splines and Fung-type material models. Comput Mech 55:1211–1225. https://doi.org/10.1007/s00466-015-1166-x
Bazilevs Y, Akkerman I (2010) Large eddy simulation of turbulent Taylor–Couette flow using isogeometric analysis and the residual-based variational multiscale method. J Comput Phys 229:3402–3414. https://doi.org/10.1016/j.jcp.2010.01.008
Isogeometric analysis in electromagnetics: B-splines approximation (n.d.) http://www.sciencedirect.com/science/article/pii/S0045782509004010. Accessed 18 October 2016
Bove EL, de Leval MR, Migliavacca F, Guadagni G, Dubini G (2003) Computational fluid dynamics in the evaluation of hemodynamic performance of cavopulmonary connections after the norwood procedure for hypoplastic left heart syndrome. J Thorac Cardiovasc Surg 126:1040–1047. https://doi.org/10.1016/S0022-5223(03)00698-6
Ghaffari M, Hsu C-Y, Linninger AA (2015) Automatic reconstruction and generation of structured hexahedral mesh for non-planar bifurcations in vascular networks. In: Gernaey KV, Huusom JK, Gani R (eds) Computer aided chemical engineering. Elsevier, Amsterdam, pp 635–640. https://doi.org/10.1016/B978-0-444-63578-5.50101-8 http://www.sciencedirect.com/science/article/pii/B9780444635785501018. Accessed 23 March 2016
Antiga L, Ene-Iordache B, Caverni L, Paolo Cornalba G, Remuzzi A (2002) Geometric reconstruction for computational mesh generation of arterial bifurcations from CT angiography. Comput Med Imaging Graph 26:227–235. https://doi.org/10.1016/S0895-6111(02)00020-4
Birchall D, Zaman A, Hacker J, Davies G, Mendelow D (2006) Analysis of haemodynamic disturbance in the atherosclerotic carotid artery using computational fluid dynamics. Eur Radiol 16:1074–1083. https://doi.org/10.1007/s00330-005-0048-6
Calo VM, Brasher NF, Bazilevs Y, Hughes TJR (2008) Multiphysics model for blood flow and drug transport with application to patient-specific coronary artery flow. Comput Mech 43:161–177. https://doi.org/10.1007/s00466-008-0321-z
Shah JJ, Mäntylä M (1995) Parametric and feature-based CAD/CAM: concepts, techniques, and applications. Wiley, New York
Hardwick MF, Clay RL, Boggs PT, Walsh EJ, Larzelere AR, Altshuler A (2005) DART system analysis, Sandia National Laboratories, Albuquerque, New Mexico 87185 and Livermore, California 94550
Cohen E, Martin T, Kirby RM, Lyche T, Riesenfeld RF (2010) Analysis-aware modeling: understanding quality considerations in modeling for isogeometric analysis. Comput Methods Appl Mech Eng 199:334–356. https://doi.org/10.1016/j.cma.2009.09.010
Sederberg TW, Finnigan GT, Li X, Lin H, Ipson H (2008) Watertight trimmed NURBS. ACM Trans Graph 27:79:1–79:8. https://doi.org/10.1145/1360612.1360678
Breitenberger M, Apostolatos A, Philipp B, Wüchner R, Bletzinger K-U (2015) Analysis in computer aided design: nonlinear isogeometric B-Rep analysis of shell structures. Comput Methods Appl Mech Eng 284:401–457. https://doi.org/10.1016/j.cma.2014.09.033
Belibassakis KA, Gerostathis TP, Kostas KV, Politis CG, Kaklis PD, Ginnis AI, Feurer C (2013) A BEM-isogeometric method for the ship wave-resistance problem. Ocean Eng 60:53–67. https://doi.org/10.1016/j.oceaneng.2012.12.030
Auricchio F, Conti M, Ferrazzano C, Sgueglia GA (2014) A simple framework to generate 3D patient-specific model of coronary artery bifurcation from single-plane angiographic images. Comput Biol Med 44:97–109. https://doi.org/10.1016/j.compbiomed.2013.10.027
Bogunović H, Pozo JM, Villa-Uriol MC, Majoie CBLM, van den Berg R, van Andel HAFG, Macho JM, Blasco J, Román LS, Frangi AF (2011) Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF-MRA using geodesic active regions: an evaluation study. Med Phys 38:210–222. https://doi.org/10.1118/1.3515749
Brina O, Ouared R, Bonnefous O, van Nijnatten F, Bouillot P, Bijlenga P, Schaller K, Lovblad K-O, Grünhagen T, Ruijters D, Pereira VM (2014) Intra-aneurysmal flow patterns: illustrative comparison among digital subtraction angiography, optical flow, and computational fluid dynamics. Am J Neuroradiol 35:2348–2353. https://doi.org/10.3174/ajnr.A4063
Cebral JR, Castro MA, Appanaboyina S, Putman CM, Millan D, Frangi AF (2005) Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Trans Med Imaging 24:457–467
Coogan JS, Chan FP, Taylor CA, Feinstein JA (2011) Computational fluid dynamic simulations of aortic coarctation comparing the effects of surgical- and stent-based treatments on aortic compliance and ventricular workload. Catheter Cardiovasc Interv 77:680–691. https://doi.org/10.1002/ccd.22878
Ho H, Norris S, Mithraratne K, Hunter P (2008) 1D and 3D blood flow modelling for patient specific cerebral vasculature and aneurysm. J Biomech 41(Supplement 1):S8. https://doi.org/10.1016/S0021-9290(08)70008-3
Kheyfets VO, Rios L, Smith T, Schroeder T, Mueller J, Murali S, Lasorda D, Zikos A, Spotti J, Reilly JJ Jr, Finol EA (2015) Patient-specific computational modeling of blood flow in the pulmonary arterial circulation. Comput Methods Programs Biomed 120:88–101. https://doi.org/10.1016/j.cmpb.2015.04.005
Les AS, Shadden SC, Figueroa CA, Park JM, Tedesco MM, Herfkens RJ, Dalman RL, Taylor CA (2010) Quantification of hemodynamics in abdominal aortic aneurysms during rest and exercise using magnetic resonance imaging and computational fluid dynamics. Ann Biomed Eng 38:1288–1313. https://doi.org/10.1007/s10439-010-9949-x
Ma D, Dargush GF, Natarajan SK, Levy EI, Siddiqui AH, Meng H (2012) Computer modeling of deployment and mechanical expansion of neurovascular flow diverter in patient-specific intracranial aneurysms. J Biomech 45:2256–2263. https://doi.org/10.1016/j.jbiomech.2012.06.013
Marsden AL (2014) Optimization in cardiovascular modeling. Annu Rev Fluid Mech 46:519–546. https://doi.org/10.1146/annurev-fluid-010313-141341
Migliavacca F, Dubini G (2005) Computational modeling of vascular anastomoses. Biomech Model Mechanobiol 3:235–250. https://doi.org/10.1007/s10237-005-0070-2
Moench T, Gasteiger R, Janiga G, Theisel H, Preim B (2011) Context-aware mesh smoothing for biomedical applications. Comput Graph 35:755–767. https://doi.org/10.1016/j.cag.2011.04.011
Moore JA, Rutt BK, Karlik SJ, Yin K, Ethier CR (1999) Computational blood flow modeling based on in vivo measurements. Ann Biomed Eng 27:627–640. https://doi.org/10.1114/1.221
Nagy R, Csobay-Novák C, Lovas A, Sótonyi P, Bojtár I (2015) Non-invasive in vivo time-dependent strain measurement method in human abdominal aortic aneurysms: towards a novel approach to rupture risk estimation. J Biomech 48:1876–1886. https://doi.org/10.1016/j.jbiomech.2015.04.030
Park S-T, Yoon K, Ko YB, Suh DC (2013) Computational fluid dynamics of intracranial and extracranal arteries using 3-dimensional angiography: technical considerations with physician’s point of view. Neurointervention 8:92. https://doi.org/10.5469/neuroint.2013.8.2.92
Peiró J, Sherwin SJ, Giordana S (2008) Automatic reconstruction of a patient-specific high-order surface representation and its application to mesh generation for CFD calculations. Med Biol Eng Comput 46:1069–1083. https://doi.org/10.1007/s11517-008-0390-3
Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor H-U, Giesel FL (2010) 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg 5:335–341. https://doi.org/10.1007/s11548-010-0476-x
Sazonov I, Yeo SY, Bevan RLT, Xie X, van Loon R, Nithiarasu P (2011) Modelling pipeline for subject-specific arterial blood flow—a review. Int J Numer Methods Biomed Eng 27:1868–1910. https://doi.org/10.1002/cnm.1446
Sheidaei A, Hunley SC, Zeinali-Davarani S, Raguin LG, Baek S (2011) Simulation of abdominal aortic aneurysm growth with updating hemodynamic loads using a realistic geometry. Med Eng Phys 33:80–88. https://doi.org/10.1016/j.medengphy.2010.09.012
Wittek A, Grosland NM, Joldes GR, Magnotta V, Miller K (2015) From finite element meshes to clouds of points: a review of methods for generation of computational biomechanics models for patient-specific applications. Ann Biomed Eng 44:3–15. https://doi.org/10.1007/s10439-015-1469-2
Pekkan K, Whited B, Kanter K, Sharma S, de Zelicourt D, Sundareswaran K, Frakes D, Rossignac J, Yoganathan AP (2008) Patient-specific surgical planning and hemodynamic computational fluid dynamics optimization through free-form haptic anatomy editing tool (SURGEM). Med Biol Eng Comput 46:1139–1152. https://doi.org/10.1007/s11517-008-0377-0
Rossignac JR, Pekkan K, Whited B, Kanter K, Sharma S, Yoganathan AP (2006) Surgem: next generation CAD tools for interactive patient-specific surgical planning and hemodynamic analysis. https://smartech.gatech.edu/handle/1853/13133. Accessed 17 April 2016
Lopez-Perez A, Sebastian R, Ferrero JM (2015) Three-dimensional cardiac computational modelling: methods, features and applications. Biomed Eng Online 14:1–31. https://doi.org/10.1186/s12938-015-0033-5
Llamas I, Powell A, Rossignac JR, Shaw CD (2004) Bender: a virtual ribbon for deforming 3D shapes in biomedical and styling applications. https://smartech.gatech.edu/handle/1853/3734. Accessed 21 April 2016
SOLIDWORKS Solutions for Life Sciences Professionals (n.d.) http://www.solidworks.com/sw/industries/life-sciences-overview-industries.htm. Accessed 19 April 2016
Research with Geomagic Sensable (n.d.) http://www.geomagic.com/en/industries/research. Accessed 19 April 2016
Materialise 3-matic (n.d.) http://biomedical.materialise.com/3-matic. Accessed 19 April 2016
BioCAD (n.d.) http://www.biomodel.com/biocad.html. Accessed 19 April 2016
Zygote (n.d.) https://www.zygote.com/. Accessed 19 April 2016
Zygote: Featured Solid 3D CAD Models (n.d.) https://www.zygote.com/cad-models. Accessed 19 April 2016
Golovanov N (2014) Geometric modeling: the mathematics of shapes, Reprint edition. CreateSpace Independent Publishing Platform
starlab-mcfskel (n.d.) https://github.com/ataiya/starlab-mcfskel. Accessed 28 August 2015
vmtk—the Vascular Modelling Toolkit (n.d.) http://www.vmtk.org/. Accessed 20 April 2016
Materialise Mimics Innovation Suite (n.d.) http://biomedical.materialise.com/mis. Accessed 5 May 2016
Grasshopper—algorithmic modeling for Rhino (n.d.) http://www.grasshopper3d.com/. Accessed 26 June 2017
Starosolski Z, Villamizar CA, Rendon D, Paldino MJ, Milewicz DM, Ghaghada KB, Annapragada AV (2015) Ultra high-resolution in vivo computed tomography imaging of mouse cerebrovasculature using a long circulating blood pool contrast agent. Sci Rep. https://doi.org/10.1038/srep10178
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R (2012) 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 30:1323–1341. https://doi.org/10.1016/j.mri.2012.05.001
Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis 22:61–79. https://doi.org/10.1023/A:1007979827043
Parzy E, Miraux S, Jean-Michel F, Thiaudière E (2009) In vivo quantification of blood velocity in mouse carotid and pulmonary arteries by ECG-triggered 3D time-resolved magnetic resonance angiography. NMR Biomed 22:532–537
LaCourse DE (ed) (1995) Handbook of solid modeling. McGraw-Hill, New York
Corney J, Lim T (2001) 3D modeling with ACIS, 2nd edn. Saxe-Coburg, Stirling
VTK: Class List (n.d.) http://www.vtk.org/doc/release/7.0/html/annotated.html. Accessed 20 April 2016
Larrabide I, Villa-Uriol M-C, Cárdenes R, Barbarito V, Carotenuto L, Geers AJ, Morales HG, Pozo JM, Mazzeo MD, Bogunović H, Omedas P, Riccobene C, Macho JM, Frangi AF (2012) AngioLab—a software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms. Comput Methods Programs Biomed 108:806–819. https://doi.org/10.1016/j.cmpb.2012.05.006
Russian National 3D Kernel, Isicad.Net. (n.d.). http://isicad.net/articles.php?article_num=15189. Accessed 21 April 2016
Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A, Steinman DA (2008) An image-based modeling framework for patient-specific computational hemodynamics. Med Biol Eng Comput 46:1097–1112. https://doi.org/10.1007/s11517-008-0420-1
Tang D, Yang C, Zheng J, Woodard PK, Sicard GA, Saffitz JE, Yuan C (2004) 3D MRI-based multicomponent FSI models for atherosclerotic plaques. Ann Biomed Eng 32:947–960. https://doi.org/10.1023/B:ABME.0000032457.10191.e0
Moore S, David T, Chase JG, Arnold J, Fink J (2006) 3D models of blood flow in the cerebral vasculature. J Biomech 39:1454–1463. https://doi.org/10.1016/j.jbiomech.2005.04.005
Kaazempur-Mofrad MR, Isasi AG, Younis HF, Chan RC, Hinton DP, Sukhova G, LaMuraglia GM, Lee RT, Kamm RD (2004) Characterization of the atherosclerotic carotid bifurcation using MRI, finite element modeling, and histology. Ann Biomed Eng 32:932–946. https://doi.org/10.1023/B:ABME.0000032456.16097.e0
Cebral JR, Castro MA, Soto O, Löhner R, Alperin N (2003) Blood-flow models of the circle of Willis from magnetic resonance data. J Eng Math 47:369–386. https://doi.org/10.1023/B:ENGI.0000007977.02652.02
Thomas JB, Milner JS, Rutt BK, Steinman DA (2003) Reproducibility of image-based compmutational fluid dynamics models of the human carotid bifurcation. Ann Biomed Eng 31:132–141. https://doi.org/10.1114/1.1540102
Torii R, Oshima M, Kobayashi T, Takagi K, Tezduyar TE (2009) Fluid–structure interaction modeling of blood flow and cerebral aneurysm: significance of artery and aneurysm shapes. Comput Methods Appl Mech Eng 198:3613–3621. https://doi.org/10.1016/j.cma.2008.08.020
Boutsianis E, Dave H, Frauenfelder T, Poulikakos D, Wildermuth S, Turina M, Ventikos Y, Zund G (2004) Computational simulation of intracoronary flow based on real coronary geometry. Eur J Cardiothorac Surg 26:248–256. https://doi.org/10.1016/j.ejcts.2004.02.041
Auricchio F, Conti M, De Beule M, De Santis G, Verhegghe B (2011) Carotid artery stenting simulation: from patient-specific images to finite element analysis. Med Eng Phys 33:281–289. https://doi.org/10.1016/j.medengphy.2010.10.011
Frauenfelder T, Lotfey M, Boehm T, Wildermuth S (2006) Computational fluid dynamics: hemodynamic changes in abdominal aortic aneurysm after stent-graft implantation. Cardiovasc Intervent Radiol 29:613–623. https://doi.org/10.1007/s00270-005-0227-5
Conti CA, Della Corte A, Votta E, Del Viscovo L, Bancone C, De Santo LS, Redaelli A (2010) Biomechanical implications of the congenital bicuspid aortic valve: a finite element study of aortic root function from in vivo data. J Thorac Cardiovasc Surg 140:890–896.e2. https://doi.org/10.1016/j.jtcvs.2010.01.016
Appanaboyina S, Mut F, Löhner R, Putman C, Cebral J (2009) Simulation of intracranial aneurysm stenting: Techniques and challenges. Comput Methods Appl Mech Eng 198:3567–3582. https://doi.org/10.1016/j.cma.2009.01.017
Grinberg L, Cheever E, Anor T, Madsen JR, Karniadakis GE (2010) Modeling blood flow circulation in intracranial arterial networks: a comparative 3D/1D simulation study. Ann Biomed Eng 39:297–309. https://doi.org/10.1007/s10439-010-0132-1
Tse KM, Chiu P, Lee HP, Ho P (2011) Investigation of hemodynamics in the development of dissecting aneurysm within patient-specific dissecting aneurismal aortas using computational fluid dynamics (CFD) simulations. J Biomech 44:827–836. https://doi.org/10.1016/j.jbiomech.2010.12.014
Morlacchi S, Colleoni SG, Cárdenes R, Chiastra C, Diez JL, Larrabide I, Migliavacca F (2013) Patient-specific simulations of stenting procedures in coronary bifurcations: two clinical cases. Med Eng Phys 35:1272–1281. https://doi.org/10.1016/j.medengphy.2013.01.007
De Santis G, De Beule M, Van Canneyt K, Segers P, Verdonck P, Verhegghe B (2011) Full-hexahedral structured meshing for image-based computational vascular modeling. Med Eng Phys 33:1318–1325. https://doi.org/10.1016/j.medengphy.2011.06.007
Wang Q, Sirois E, Sun W (2012) Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment. J Biomech 45:1965–1971. https://doi.org/10.1016/j.jbiomech.2012.05.008
Gallo D, Santis GD, Negri F, Tresoldi D, Ponzini R, Massai D, Deriu MA, Segers P, Verhegghe B, Rizzo G, Morbiducci U (2011) On the use of in vivo measured flow rates as boundary conditions for image-based hemodynamic models of the human aorta: implications for indicators of abnormal flow. Ann Biomed Eng 40:729–741. https://doi.org/10.1007/s10439-011-0431-1
Autodesk Alias (n.d.) http://www.autodesk.com/products/alias-products/overview. Accessed 21 April 2016
Autodesk Fusion 360 (n.d.) http://www.autodesk.com/products/fusion-360/overview. Accessed 21 April 2016
Autodesk Inventor (n.d.) http://www.autodesk.com/products/inventor/overview. Accessed 21 April 2016
BRL-CAD: Open Source Solid Modeling (n.d.) http://brlcad.org/. Accessed 21 April 2016
nanoCAD (n.d.) http://nanocad.com/. Accessed 21 April 2016
NX: Siemens PLM Software (n.d.) https://www.plm.automation.siemens.com/en_us/products/nx/. Accessed 21 April 2016
OPEN CASCADE (n.d.) http://www.opencascade.com/. Accessed 21 April 2016
PTC Creo (n.d.) http://www.ptc.com/cad/creo. Accessed 21 April 2016
Solid Edge: Siemens PLM Software (n.d.) https://www.plm.automation.siemens.com/en_us/products/solid-edge/. Accessed 21 April 2016
pyFormex: “Unlike traditional CAD systems, pyFormex uses a powerful (Python based) scripting language as the basic user input method, making it very well suited for automated and repeated (parametric) design procedures.,” (n.d.) http://www.nongnu.org/pyformex/. Accessed 20 April 2016
Prakash S, Ethier CR (2001) Requirements for mesh resolution in 3D computational hemodynamics. J Biomech Eng 123:134–144
Castro MA, Olivares MCA, Putman CM, Cebral JR (2014) Unsteady wall shear stress analysis from image-based computational fluid dynamic aneurysm models under Newtonian and Casson rheological models. Med Biol Eng Comput 52:827–839. https://doi.org/10.1007/s11517-014-1189-z
Cárdenes R, Díez JL, Duchateau N, Pashaei A, Frangi AF (2013) Model generation of coronary artery bifurcations from CTA and single plane angiography. Med Phys 40:013701. https://doi.org/10.1118/1.4769118
Haggerty CM, Restrepo M, Tang E, de Zélicourt DA, Sundareswaran KS, Mirabella L, Bethel J, Whitehead KK, Fogel MA, Yoganathan AP (2014) Fontan hemodynamics from 100 patient-specific cardiac magnetic resonance studies: a computational fluid dynamics analysis. J Thorac Cardiovasc Surg 148:1481–1489. https://doi.org/10.1016/j.jtcvs.2013.11.060
Caruso MV, Gramigna V, Rossi M, Serraino GF, Renzulli A, Fragomeni G (2015) A computational fluid dynamics comparison between different outflow graft anastomosis locations of Left Ventricular Assist Device (LVAD) in a patient-specific aortic model. Int J Numer Methods Biomed Eng. https://doi.org/10.1002/cnm.2700
DeGroff CG (2007) Modeling the Fontan circulation: where we are and where we need to go. Pediatr Cardiol 29:3–12. https://doi.org/10.1007/s00246-007-9104-0
Barber DC, Oubel E, Frangi AF, Hose DR (2007) Efficient computational fluid dynamics mesh generation by image registration. Med Image Anal 11:648–662. https://doi.org/10.1016/j.media.2007.06.011
Zhang Y, Bazilevs Y, Goswami S, Bajaj CL, Hughes TJR (2007) Patient-specific vascular NURBS modeling for isogeometric analysis of blood flow. Comput Methods Appl Mech Eng 196:2943–2959. https://doi.org/10.1016/j.cma.2007.02.009
Scott MA, Borden MJ, Verhoosel CV, Sederberg TW, Hughes TJR (2011) Isogeometric finite element data structures based on Bézier extraction of T-splines. Int J Numer Methods Eng 88:126–156. https://doi.org/10.1002/nme.3167
Toshniwal D, Speleers H, Hiemstra RR, Hughes TJR (2016) Multi-degree C^k smooth polar splines: a framework for design and analysis. https://www.ices.utexas.edu/media/reports/2016/1617.pdf
Wang KC, Dutton RW, Taylor CA (1999) Improving geometric model construction for blood flow modeling. IEEE Eng Med Biol Mag 18:33–39. https://doi.org/10.1109/51.805142
Acknowledgements
Support from the William Stamps Farish Fund, Portuguese CoLab grant no UTA06-894, and William & Ella Owens Medical Research Foundation grant no UTA17-000357 are gratefully acknowledged. The authors would also like to thank Zbigniew Starosolski and Ananth Annapragada at the Texas Children’s Hospital, Raja Muthupillai at St. Luke’s Hospital, and Andrea Gobin and Doris Taylor at Texas Heart Institute for providing the imaging data, and for their help with image processing.
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Urick, B., Sanders, T.M., Hossain, S.S. et al. Review of Patient-Specific Vascular Modeling: Template-Based Isogeometric Framework and the Case for CAD. Arch Computat Methods Eng 26, 381–404 (2019). https://doi.org/10.1007/s11831-017-9246-z
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DOI: https://doi.org/10.1007/s11831-017-9246-z