Image-Based Modeling of Blood Flow and Vessel Wall Dynamics: Applications, Methods and Future Directions

The objective of our session at the 2008 International Bio-Fluid Symposium and Workshop was to review the state-of-the-art in image-based modeling of blood flow, and identify future directions. Here we summarize progress in the field of image-based modeling of blood flow and vessel wall dynamics from mid-2005 to early 2009. We first describe the tremendous progress made in the application of image-based modeling techniques to elucidate the role of hemodynamics in vascular pathophysiology, plan treatments for congenital and acquired diseases in individual patients, and design and evaluate endovascular devices. We then review the advances that have been made in improving the methodology for modeling blood flow and vessel wall dynamics in image-based models, and consider issues related to extracting hemodynamic parameters and verification and validation. Finally, the strengths and weaknesses of current work in image-based modeling and the opportunities and threats to the field are described. We believe that with a doubling of our efforts toward the clinical application of image-based modeling tools, the next few years could surpass the tremendous gains made in the last few.

[1]  J. Womersley Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known , 1955, The Journal of physiology.

[2]  J. Womersley XXIV. Oscillatory motion of a viscous liquid in a thin-walled elastic tube—I: The linear approximation for long waves , 1955 .

[3]  H. Redkey,et al.  A new approach. , 1967, Rehabilitation record.

[4]  P. Kilner,et al.  Total cavopulmonary connection: a logical alternative to atriopulmonary connection for complex Fontan operations. Experimental studies and early clinical experience. , 1988, The Journal of thoracic and cardiovascular surgery.

[5]  C. Brophy,et al.  Spiral laminar flow in arteries? , 1991, The Lancet.

[6]  P. Walker,et al.  Hemodynamics of the Fontan connection: an in-vitro study. , 1995, Journal of biomechanical engineering.

[7]  K. Perktold,et al.  Computer simulation of local blood flow and vessel mechanics in a compliant carotid artery bifurcation model. , 1995, Journal of biomechanics.

[8]  A. Yoganathan,et al.  In vitro flow experiments for determination of optimal geometry of total cavopulmonary connection for surgical repair of children with functional single ventricle. , 1996, Journal of the American College of Cardiology.

[9]  Thomas J. R. Hughes,et al.  Computational investigations in vascular disease , 1996 .

[10]  H. Schima,et al.  Numerical study of wall mechanics and fluid dynamics in end-to-side anastomoses and correlation to intimal hyperplasia. , 1996, Journal of biomechanics.

[11]  F. Migliavacca,et al.  A computational pulsatile model of the bidirectional cavopulmonary anastomosis: the influence of pulmonary forward flow. , 1996, Journal of biomechanical engineering.

[12]  P. Serruys,et al.  Evaluation of endothelial shear stress and 3D geometry as factors determining the development of atherosclerosis and remodeling in human coronary arteries in vivo. Combining 3D reconstruction from angiography and IVUS (ANGUS) with computational fluid dynamics. , 1997, Arteriosclerosis, thrombosis, and vascular biology.

[13]  Patrick J. Roache,et al.  Verification and Validation in Computational Science and Engineering , 1998 .

[14]  Thomas J. R. Hughes,et al.  Finite element modeling of blood flow in arteries , 1998 .

[15]  B. Rutt,et al.  Hemodynamics of human carotid artery bifurcations: computational studies with models reconstructed from magnetic resonance imaging of normal subjects. , 1998, Journal of vascular surgery.

[16]  M. Olufsen Structured tree outflow condition for blood flow in larger systemic arteries. , 1999, The American journal of physiology.

[17]  C. Taylor,et al.  Predictive medicine: computational techniques in therapeutic decision-making. , 1999, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[18]  R.W. Dutton,et al.  Improving geometric model construction for blood flow modeling , 1999, IEEE Engineering in Medicine and Biology Magazine.

[19]  F. Migliavacca,et al.  Computational fluid dynamic simulations of cavopulmonary connections with an extracardiac lateral conduit. , 1999, Medical engineering & physics.

[20]  P. Serruys,et al.  True 3-dimensional reconstruction of coronary arteries in patients by fusion of angiography and IVUS (ANGUS) and its quantitative validation. , 2000, Circulation.

[21]  F. Migliavacca,et al.  Computational model of the fluid dynamics in systemic-to-pulmonary shunts. , 2000, Journal of biomechanics.

[22]  C. R. Ethier,et al.  Requirements for mesh resolution in 3D computational hemodynamics. , 2001, Journal of biomechanical engineering.

[23]  T. Ideker,et al.  A new approach to decoding life: systems biology. , 2001, Annual review of genomics and human genetics.

[24]  G. Truskey,et al.  Hemodynamic parameters and early intimal thickening in branching blood vessels. , 2001, Critical reviews in biomedical engineering.

[25]  A. Leuprecht,et al.  Numerical study of hemodynamics and wall mechanics in distal end-to-side anastomoses of bypass grafts. , 2002, Journal of biomechanics.

[26]  David A Steinman,et al.  On assessing the quality of particle tracking through computational fluid dynamic models. , 2002, Journal of biomechanical engineering.

[27]  B. Rutt,et al.  Reconstruction of carotid bifurcation hemodynamics and wall thickness using computational fluid dynamics and MRI , 2002, Magnetic resonance in medicine.

[28]  T. Yoshimoto,et al.  Hemodynamic analysis of an adult vein of Galen aneurysm malformation by use of 3D image-based computational fluid dynamics. , 2003, AJNR. American journal of neuroradiology.

[29]  D. Holdsworth,et al.  Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. , 2003, AJNR. American journal of neuroradiology.

[30]  A. Wahle,et al.  Effect of Endothelial Shear Stress on the Progression of Coronary Artery Disease, Vascular Remodeling, and In-Stent Restenosis in Humans: In Vivo 6-Month Follow-Up Study , 2003, Circulation.

[31]  Michael Markl,et al.  Time‐resolved three‐dimensional phase‐contrast MRI , 2003, Journal of magnetic resonance imaging : JMRI.

[32]  Alastair J. Martin,et al.  Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms. , 2003, AJNR. American journal of neuroradiology.

[33]  A. Hughes,et al.  Influence of head position on carotid hemodynamics in young adults. , 2004, American journal of physiology. Heart and circulatory physiology.

[34]  A. Hughes,et al.  Reproducibility Study of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Carotid Bifurcation Flow , 2003, Annals of Biomedical Engineering.

[35]  David A Steinman,et al.  Finite-element modeling of the hemodynamics of stented aneurysms. , 2004, Journal of biomechanical engineering.

[36]  David A. Steinman,et al.  Robust and objective decomposition and mapping of bifurcating vessels , 2004, IEEE Transactions on Medical Imaging.

[37]  David A. Steinman,et al.  Image-Based Computational Fluid Dynamics Modeling in Realistic Arterial Geometries , 2002, Annals of Biomedical Engineering.

[38]  A. Hazel,et al.  Spatial comparison between wall shear stress measures and porcine arterial endothelial permeability. , 2004, American journal of physiology. Heart and circulatory physiology.

[39]  M. Kaazempur-Mofrad,et al.  Hemodynamics and wall mechanics in human carotid bifurcation and its consequences for atherogenesis: investigation of inter-individual variation , 2004, Biomechanics and Modeling in Mechanobiology.

[40]  A. Hughes,et al.  Image-based carotid flow reconstruction: a comparison between MRI and ultrasound. , 2004, Physiological measurement.

[41]  T. Yoshimoto,et al.  Computational simulation of therapeutic parent artery occlusion to treat giant vertebrobasilar aneurysm. , 2004, AJNR. American journal of neuroradiology.

[42]  H. Dwyer,et al.  A simulated dye method for flow visualization with a computational model for blood flow. , 2004, Journal of biomechanics.

[43]  C. R. Ethier,et al.  Computational Modeling of Mass Transfer and Links to Atherosclerosis , 2002, Annals of Biomedical Engineering.

[44]  B. Rutt,et al.  Reproducibility of Image-Based Computational Fluid Dynamics Models of the Human Carotid Bifurcation , 2003, Annals of Biomedical Engineering.

[45]  Charles Taylor,et al.  EXPERIMENTAL AND COMPUTATIONAL METHODS IN CARDIOVASCULAR FLUID MECHANICS , 2004 .

[46]  J. Tinsley Oden,et al.  Verification and validation in computational engineering and science: basic concepts , 2004 .

[47]  D. Steinman,et al.  Two-equation turbulence modeling of pulsatile flow in a stenosed tube. , 2004, Journal of biomechanical engineering.

[48]  J. LaDisa,et al.  Three-Dimensional Computational Fluid Dynamics Modeling of Alterations in Coronary Wall Shear Stress Produced by Stent Implantation , 2003, Annals of Biomedical Engineering.

[49]  K. Katada,et al.  Magnitude and Role of Wall Shear Stress on Cerebral Aneurysm: Computational Fluid Dynamic Study of 20 Middle Cerebral Artery Aneurysms , 2004, Stroke.

[50]  M. H. Friedman,et al.  Influence of curvature dynamics on pulsatile coronary artery flow in a realistic bifurcation model. , 2004, Journal of biomechanics.

[51]  M. Lawton,et al.  Correlation between lumenal geometry changes and hemodynamics in fusiform intracranial aneurysms. , 2005, AJNR. American journal of neuroradiology.

[52]  Pascal Frey,et al.  Fluid-structure interaction in blood flows on geometries based on medical imaging , 2005 .

[53]  Rainald Löhner,et al.  Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique , 2005, IEEE Transactions on Medical Imaging.

[54]  P. Serruys,et al.  The role of shear stress in the destabilization of vulnerable plaques and related therapeutic implications , 2005, Nature Clinical Practice Cardiovascular Medicine.

[55]  C. Putman,et al.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. , 2005, AJNR. American journal of neuroradiology.

[56]  Xiangrong Li,et al.  Anisotropic adaptive finite element method for modelling blood flow , 2005, Computer methods in biomechanics and biomedical engineering.

[57]  Alejandro F. Frangi,et al.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity , 2005, IEEE Transactions on Medical Imaging.

[58]  David A. Steinman,et al.  Flow Imaging and Computing: Large Artery Hemodynamics , 2005, Annals of Biomedical Engineering.

[59]  B J B M Wolters,et al.  A patient-specific computational model of fluid-structure interaction in abdominal aortic aneurysms. , 2005, Medical engineering & physics.

[60]  Fabio Nobile,et al.  Added-mass effect in the design of partitioned algorithms for fluid-structure problems , 2005 .

[61]  F. Migliavacca,et al.  Multiscale modeling of the cardiovascular system: application to the study of pulmonary and coronary perfusions in the univentricular circulation. , 2005, Journal of biomechanics.

[62]  Charles A. Taylor,et al.  Predicting changes in blood flow in patient-specific operative plans for treating aortoiliac occlusive disease , 2005, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[63]  Charles A. Taylor,et al.  Comparison of CFD and MRI Flow and Velocities in an In Vitro Large Artery Bypass Graft Model , 2005, Annals of Biomedical Engineering.

[64]  C. Kleinstreuer,et al.  Blood flow and structure interactions in a stented abdominal aortic aneurysm model. , 2005, Medical engineering & physics.

[65]  P. Serruys,et al.  Geometry guided data averaging enables the interpretation of shear stress related plaque development in human coronary arteries. , 2005, Journal of biomechanics.

[66]  Dean C. Barratt,et al.  Operator dependence of 3-D ultrasound-based computational fluid dynamics for the carotid bifurcation , 2005, IEEE Transactions on Medical Imaging.

[67]  M. H. Friedman,et al.  Interaction of Wall Shear Stress Magnitude and Gradient in the Prediction of Arterial Macromolecular Permeability , 2005, Annals of Biomedical Engineering.

[68]  Robin Shandas,et al.  Computational simulations of the total cavo-pulmonary connection: insights in optimizing numerical solutions. , 2005, Medical engineering & physics.

[69]  David A. Steinman,et al.  Virtual angiography for visualization and validation of computational models of aneurysm hemodynamics , 2005, IEEE Transactions on Medical Imaging.

[70]  H. Feng,et al.  Neuroendoscopic Management of Symptomatic Septum Pellucidum Cysts , 2006, Neurosurgery.

[71]  Charles A. Taylor,et al.  Efficient anisotropic adaptive discretization of the cardiovascular system , 2006 .

[72]  Charles A. Taylor,et al.  Morphometry-Based Impedance Boundary Conditions for Patient-Specific Modeling of Blood Flow in Pulmonary Arteries , 2007, Annals of Biomedical Engineering.

[73]  Michael P. Szymanski,et al.  A MODEL SYSTEM FOR MAPPING VASCULAR RESPONSES TO COMPLEX HEMODYNAMICS AT ARTERIAL BIFURCATIONS IN VIVO , 2006, Neurosurgery.

[74]  M. H. Friedman,et al.  Correspondence of low mean shear and high harmonic content in the porcine iliac arteries. , 2006, Journal of biomechanical engineering.

[75]  Charles A. Taylor,et al.  Aortoiliac hemodynamic and morphologic adaptation to chronic spinal cord injury. , 2006, Journal of vascular surgery.

[76]  Charles A. Taylor,et al.  Allometric scaling of wall shear stress from mice to humans: quantification using cine phase-contrast MRI and computational fluid dynamics. , 2006, American journal of physiology. Heart and circulatory physiology.

[77]  L. Antiga,et al.  Inlet conditions for image-based CFD models of the carotid bifurcation: is it reasonable to assume fully developed flow? , 2006, Journal of biomechanical engineering.

[78]  Charles A. Taylor,et al.  A coupled momentum method for modeling blood flow in three-dimensional deformable arteries , 2006 .

[79]  Christopher P. Cheng,et al.  Abdominal aortic hemodynamics in young healthy adults at rest and during lower limb exercise: quantification using image-based computer modeling. , 2006, American journal of physiology. Heart and circulatory physiology.

[80]  Hui Meng,et al.  Validation of CFD simulations of cerebral aneurysms with implication of geometric variations. , 2006, Journal of biomechanical engineering.

[81]  G. Kassab Scaling laws of vascular trees: of form and function. , 2006, American journal of physiology. Heart and circulatory physiology.

[82]  T. Hughes,et al.  Isogeometric Fluid–structure Interaction Analysis with Applications to Arterial Blood Flow , 2006 .

[83]  W. Gedroyc,et al.  Curvature and tortuosity of the superficial femoral artery: a possible risk factor for peripheral arterial disease. , 2006, Journal of applied physiology.

[84]  C. Putman,et al.  Patient-specific computational fluid dynamics modeling of anterior communicating artery aneurysms: a study of the sensitivity of intra-aneurysmal flow patterns to flow conditions in the carotid arteries. , 2006, AJNR. American journal of neuroradiology.

[85]  Alastair J. Martin,et al.  Estimating the Hemodynamic Impact of Interventional Treatments of Aneurysms: Numerical Simulation with Experimental Validation: Technical Case Report , 2006, Neurosurgery.

[86]  Charles A. Taylor,et al.  Effects of Exercise and Respiration on Hemodynamic Efficiency in CFD Simulations of the Total Cavopulmonary Connection , 2007, Annals of Biomedical Engineering.

[87]  M. H. Friedman,et al.  Statistical hemodynamics: a tool for evaluating the effect of fluid dynamic forces on vascular biology in vivo. , 2006, Journal of biomechanical engineering.

[88]  A. Yoganathan,et al.  Flow study of an extracardiac connection with persistent left superior vena cava. , 2006, The Journal of thoracic and cardiovascular surgery.

[89]  Charles A. Taylor,et al.  AAA Disease , 2006, Annals of the New York Academy of Sciences.

[90]  F. Grosveld,et al.  Atherosclerotic Lesion Size and Vulnerability Are Determined by Patterns of Fluid Shear Stress , 2006, Circulation.

[91]  F. Migliavacca,et al.  Multiscale modelling in biofluidynamics: application to reconstructive paediatric cardiac surgery. , 2006, Journal of biomechanics.

[92]  Charles A. Taylor,et al.  Outflow boundary conditions for three-dimensional finite element modeling of blood flow and pressure in arteries , 2006 .

[93]  P. Serruys,et al.  A new imaging technique to study 3-D plaque and shear stress distribution in human coronary artery bifurcations in vivo. , 2007, Journal of biomechanics.

[94]  C. Kleinstreuer,et al.  Fluid-structure interaction analyses of stented abdominal aortic aneurysms. , 2007, Annual review of biomedical engineering.

[95]  A. Yoganathan,et al.  Nonlinear Power Loss During Exercise in Single-Ventricle Patients After the Fontan: Insights From Computational Fluid Dynamics , 2007, Circulation.

[96]  D. Kallmes,et al.  The influence of hemodynamic forces on biomarkers in the walls of elastase-induced aneurysms in rabbits , 2007, Neuroradiology.

[97]  P. Weinberg,et al.  Twenty-fold difference in hemodynamic wall shear stress between murine and human aortas. , 2007, Journal of biomechanics.

[98]  E. Ramm,et al.  Artificial added mass instabilities in sequential staggered coupling of nonlinear structures and incompressible viscous flows , 2007 .

[99]  C. Yuan,et al.  Plaque Rupture in the Carotid Artery Is Localized at the High Shear Stress Region: A Case Report , 2007, Stroke.

[100]  R. Krams,et al.  Large variations in absolute wall shear stress levels within one species and between species. , 2007, Atherosclerosis.

[101]  F. Migliavacca,et al.  Toward Optimal Hemodynamics: Computer Modeling of the Fontan Circuit , 2007, Pediatric Cardiology.

[102]  M. Alley,et al.  Comparison of flow patterns in ascending aortic aneurysms and volunteers using four‐dimensional magnetic resonance velocity mapping , 2007, Journal of magnetic resonance imaging : JMRI.

[103]  D. Saloner,et al.  Computational Fluid Dynamics within Bifurcated Abdominal Aortic Stent-Grafts , 2007, Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists.

[104]  W. R. Taylor,et al.  Hemodynamic Shear Stresses in Mouse Aortas: Implications for Atherogenesis , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[105]  M. Grigioni,et al.  Helical flow as fluid dynamic signature for atherogenesis risk in aortocoronary bypass. A numeric study. , 2007, Journal of biomechanics.

[106]  Charles A. Taylor,et al.  Fractal network model for simulating abdominal and lower extremity blood flow during resting and exercise conditions , 2007, Computer methods in biomechanics and biomedical engineering.

[107]  S. Dowd,et al.  The Frequency Dependent Response of the Vascular Endothelium to Pulsatile Shear Stress , 2006, American journal of physiology. Heart and circulatory physiology.

[108]  P. Blanco,et al.  A unified variational approach for coupling 3D-1D models and its blood flow applications , 2007 .

[109]  A. Hughes,et al.  Analysis of complex flow and the relationship between blood pressure, wall shear stress, and intima-media thickness in the human carotid artery. , 2007, American journal of physiology. Heart and circulatory physiology.

[110]  P. Fischer,et al.  Numerical and Experimental Simulation of Transitional Flow in a Blood Vessel Junction , 2007 .

[111]  Anders Ynnerman,et al.  Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation , 2007, IEEE Transactions on Visualization and Computer Graphics.

[112]  Miguel A. Fernández,et al.  A projection semi‐implicit scheme for the coupling of an elastic structure with an incompressible fluid , 2007 .

[113]  C. R. Ethier,et al.  Hemodynamics in the mouse aortic arch as assessed by MRI, ultrasound, and numerical modeling. , 2007, American journal of physiology. Heart and circulatory physiology.

[114]  Juan R Cebral,et al.  Computational fluid dynamics modeling of intracranial aneurysms: qualitative comparison with cerebral angiography. , 2007, Academic radiology.

[115]  J. Humphrey Vascular Adaptation and Mechanical Homeostasis at Tissue, Cellular, and Sub-cellular Levels , 2007, Cell Biochemistry and Biophysics.

[116]  D. Steinman,et al.  On the relative importance of rheology for image-based CFD models of the carotid bifurcation. , 2007, Journal of biomechanical engineering.

[117]  P. Fischer,et al.  Direct numerical simulation of transitional flow in a stenosed carotid bifurcation. , 2008, Journal of biomechanics.

[118]  L. Ge,et al.  Numerical Modeling of the Flow in Intracranial Aneurysms: Prediction of Regions Prone to Thrombus Formation , 2008, Annals of Biomedical Engineering.

[119]  E. Edelman,et al.  Prediction of the Localization of High-Risk Coronary Atherosclerotic Plaques on the Basis of Low Endothelial Shear Stress: An Intravascular Ultrasound and Histopathology Natural History Study , 2008, Circulation.

[120]  C. Yuan,et al.  A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: in vivo MRI-based 2D/3D FSI models. , 2008, Journal of Biomechanics.

[121]  T. Tezduyar,et al.  Arterial fluid mechanics modeling with the stabilized space–time fluid–structure interaction technique , 2008 .

[122]  Erik J. Bekkers,et al.  Multiscale Vascular Surface Model Generation From Medical Imaging Data Using Hierarchical Features , 2008, IEEE Transactions on Medical Imaging.

[123]  Yiannis Ventikos,et al.  The Haemodynamics of Endovascular Aneurysm Treatment: A Computational Modelling Approach for Estimating the Influence of Multiple Coil Deployment , 2008, IEEE Transactions on Medical Imaging.

[124]  P. Serruys,et al.  Strain distribution over plaques in human coronary arteries relates to shear stress. , 2008, American journal of physiology. Heart and circulatory physiology.

[125]  D. Holdsworth,et al.  PIV-measured versus CFD-predicted flow dynamics in anatomically realistic cerebral aneurysm models. , 2008, Journal of biomechanical engineering.

[126]  D. Steinman,et al.  Is flow in the common carotid artery fully developed? , 2008, Physiological measurement.

[127]  Jeanette P. Schmidt,et al.  The Simbios National Center: Systems Biology in Motion , 2008, Proceedings of the IEEE.

[128]  C. Zarins,et al.  Lateral Movement of Endografts within the Aneurysm Sac is an Indicator of Stent-Graft Instability , 2008, Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists.

[129]  Alison L. Marsden,et al.  A computational framework for derivative-free optimization of cardiovascular geometries , 2008 .

[130]  Onkar Sahni,et al.  Adaptive boundary layer meshing for viscous flow simulations , 2008, Engineering with Computers.

[131]  Rainald Löhner,et al.  Adaptive embedded and immersed unstructured grid techniques , 2008 .

[132]  Onkar Sahni,et al.  Automated adaptive cardiovascular flow simulations , 2009, Engineering with Computers.

[133]  Alejandro F Frangi,et al.  Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model--a report on the Virtual Intracranial Stenting Challenge 2007. , 2008, Journal of biomechanics.

[134]  T. Ebbers,et al.  Assessment of fluctuating velocities in disturbed cardiovascular blood flow: In vivo feasibility of generalized phase‐contrast MRI , 2008, Journal of magnetic resonance imaging : JMRI.

[135]  Charles A. Taylor,et al.  Characterization of Coherent Structures in the Cardiovascular System , 2008, Annals of Biomedical Engineering.

[136]  山下 修平 Visualization of hemodynamics in intracranial arteries using time-resolved three-dimensional phase-contrast MRI , 2008 .

[137]  Alastair J. Martin,et al.  Aneurysm Growth Occurs at Region of Low Wall Shear Stress: Patient-Specific Correlation of Hemodynamics and Growth in a Longitudinal Study , 2008, Stroke.

[138]  Charles A. Taylor,et al.  Intracranial and abdominal aortic aneurysms: similarities, differences, and need for a new class of computational models. , 2008, Annual review of biomedical engineering.

[139]  G. De Backer,et al.  Determining carotid artery pressure from scaled diameter waveforms: comparison and validation of calibration techniques in 2026 subjects , 2008, Physiological measurement.

[140]  T. Tezduyar,et al.  Fluid–structure interaction modeling of a patient-specific cerebral aneurysm: influence of structural modeling , 2008 .

[141]  Rainald Löhner,et al.  Computational fluid dynamics of stented intracranial aneurysms using adaptive embedded unstructured grids , 2008 .

[142]  L. Antiga,et al.  Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow , 2008, Stroke.

[143]  David A. Steinman,et al.  An image-based modeling framework for patient-specific computational hemodynamics , 2008, Medical & Biological Engineering & Computing.

[144]  Jarek Rossignac,et al.  Patient-specific surgical planning and hemodynamic computational fluid dynamics optimization through free-form haptic anatomy editing tool (SURGEM) , 2008, Medical & Biological Engineering & Computing.

[145]  D. Holdsworth,et al.  On the effect of parent-aneurysm angle on flow patterns in basilar tip aneurysms: towards a surrogate geometric marker of intra-aneurismal hemodynamics. , 2008, Journal of biomechanics.

[146]  M. Markl,et al.  In vivo visualization and analysis of 3-D hemodynamics in cerebral aneurysms with flow-sensitized 4-D MR imaging at 3 T , 2008, Neuroradiology.

[147]  J. Hennig,et al.  Time-resolved magnetic resonance angiography and flow-sensitive 4-dimensional magnetic resonance imaging at 3 Tesla for blood flow and wall shear stress analysis. , 2008, The Journal of thoracic and cardiovascular surgery.

[148]  Alastair J. Martin,et al.  Numerical simulations of flow in cerebral aneurysms: comparison of CFD results and in vivo MRI measurements. , 2008, Journal of biomechanical engineering.

[149]  Charles A. Taylor,et al.  Effect of Curvature on Displacement Forces Acting on Aortic Endografts: A 3-Dimensional Computational Analysis , 2009, Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists.

[150]  Guang-Zhong Yang,et al.  Stress phase angle depicts differences in coronary artery hemodynamics due to changes in flow and geometry after percutaneous coronary intervention. , 2009, American journal of physiology. Heart and circulatory physiology.

[151]  Charles A. Taylor,et al.  A Computational Framework for Fluid-Solid-Growth Modeling in Cardiovascular Simulations. , 2009, Computer methods in applied mechanics and engineering.

[152]  L. Antiga,et al.  Correlations among indicators of disturbed flow at the normal carotid bifurcation. , 2009, Journal of biomechanical engineering.

[153]  Alastair J. Martin,et al.  Phase‐contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics , 2009, Magnetic resonance in medicine.

[154]  David A. Steinman,et al.  Reliability of vascular geometry factors derived from clinical MRA , 2009, Medical Imaging.

[155]  Charles A. Taylor,et al.  Endovascular Device Design in the Future: Transformation from Trial and Error to Computational Design , 2009, Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists.

[156]  A. Tannenbaum,et al.  Choice of in vivo versus idealized velocity boundary conditions influences physiologically relevant flow patterns in a subject-specific simulation of flow in the human carotid bifurcation. , 2009, Journal of biomechanical engineering.

[157]  M. Alley,et al.  Complete Intracranial Arterial and Venous Blood Flow Evaluation with 4D Flow MR Imaging , 2008, American Journal of Neuroradiology.

[158]  Charles A Mistretta,et al.  Undersampled radial MR acquisition and highly constrained back projection (HYPR) reconstruction: Potential medical imaging applications in the post‐Nyquist era , 2009, Journal of magnetic resonance imaging : JMRI.

[159]  Charles A. Taylor,et al.  Magnitude and Direction of Pulsatile Displacement Forces Acting on Thoracic Aortic Endografts , 2009, Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists.

[160]  T. Ishikawa,et al.  Can temporal fluctuation in spatial wall shear stress gradient initiate a cerebral aneurysm? A proposed novel hemodynamic index, the gradient oscillatory number (GON). , 2009, Journal of biomechanics.

[161]  Charles A. Taylor,et al.  Evaluation of a novel Y-shaped extracardiac Fontan baffle using computational fluid dynamics. , 2009, The Journal of thoracic and cardiovascular surgery.

[162]  E. Wellnhofer,et al.  Novel non-dimensional approach to comparison of wall shear stress distributions in coronary arteries of different groups of patients. , 2009, Atherosclerosis.

[163]  L. Antiga,et al.  Rethinking turbulence in blood. , 2009, Biorheology.

[164]  C. Putman,et al.  Hemodynamics of Cerebral Aneurysms. , 2009, Annual review of fluid mechanics.

[165]  J. Hennig,et al.  3D blood flow characteristics in the carotid artery bifurcation assessed by flow‐sensitive 4D MRI at 3T , 2009, Magnetic resonance in medicine.

[166]  Luca Antiga,et al.  An adaptive mesh refinement solver for large‐scale simulation of biological flows , 2010 .

[167]  Charles A. Taylor,et al.  Quantification of Hemodynamics in Abdominal Aortic Aneurysms During Rest and Exercise Using Magnetic Resonance Imaging and Computational Fluid Dynamics , 2010, Annals of Biomedical Engineering.

[168]  Timothy G. Trucano,et al.  Verification and validation. , 2005 .