A comprehensive comparison of various patient-specific CFD models of the left atrium for atrial fibrillation patients
暂无分享,去创建一个
José Sierra-Pallares | Jorge Dueñas-Pamplona | Javier García García | Conrado Ferrera | Rafael Agujetas | José Ramón López-Mínguez | C. Ferrera | J. López-Mínguez | R. Agujetas | J. Sierra-Pallares | Jorge Dueñas-Pamplona | J. García
[1] Sanghamitra Mohanty,et al. Does the left atrial appendage morphology correlate with the risk of stroke in patients with atrial fibrillation? Results from a multicenter study. , 2012, Journal of the American College of Cardiology.
[2] Charles A. Taylor,et al. Uncertainty quantification in coronary blood flow simulations: Impact of geometry, boundary conditions and blood viscosity. , 2016, Journal of biomechanics.
[3] G. Raskob,et al. Global Burden of Thrombosis: Epidemiologic Aspects. , 2016, Circulation research.
[4] Jin-Ho Choi,et al. Volume and morphology of left atrial appendage as determinants of stroke subtype in patients with atrial fibrillation. , 2016, Heart rhythm.
[5] Lucy T Zhang,et al. Characterizing left atrial appendage functions in sinus rhythm and atrial fibrillation using computational models. , 2008, Journal of biomechanics.
[6] J. D. Humphrey,et al. A haemodynamic predictor of intraluminal thrombus formation in abdominal aortic aneurysms , 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[7] José Ramón López-Mínguez,et al. Comparison of imaging techniques to assess appendage anatomy and measurements for left atrial appendage closure device selection. , 2014, The Journal of invasive cardiology.
[8] Franck Nicoud,et al. Image-based large-eddy simulation in a realistic left heart , 2014 .
[9] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[11] Marta Nuñez-Garcia,et al. Sensitivity analysis of geometrical parameters to study haemodynamics and thrombus formation in the left atrial appendage , 2018, International journal for numerical methods in biomedical engineering.
[12] Ioanna Kougioumtzi,et al. Left atrial appendage exclusion-Where do we stand? , 2014, Journal of thoracic disease.
[13] Laurent Younes,et al. Hemodynamics in the Left Atrium and Its Effect on Ventricular Flow Patterns. , 2015, Journal of biomechanical engineering.
[14] J. Redón,et al. Prevalencia de fibrilación auricular en la población española de 60 o más años de edad. Estudio PREV-ICTUS , 2007 .
[15] Oscar Camara,et al. In silico Optimization of Left Atrial Appendage Occluder Implantation Using Interactive and Modeling Tools , 2019, Front. Physiol..
[16] Adeniyi Lawal,et al. Residence-time distribution as a measure of mixing in T-junction and multilaminated/elongational flow micromixers , 2010 .
[17] P. Serruys,et al. Long-term invasive follow-up of the everolimus-eluting bioresorbable vascular scaffold: five-year results of multiple invasive imaging modalities. , 2016, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.
[18] Yan Wang,et al. Left Atrial Appendage Studied by Computed Tomography to Help Planning for Appendage Closure Device Placement , 2010, Journal of cardiovascular electrophysiology.
[19] F. Castro,et al. Spatial distribution of mean age and higher moments of unsteady and reactive tracers: Reconstruction of residence time distributions , 2017 .
[20] J. Montanero,et al. Numerical analysis of the pressure drop across highly-eccentric coronary stenoses: application to the calculation of the fractional flow reserve , 2018, Biomedical engineering online.
[21] A. Camm,et al. Left atrial appendage: structure, function, and role in thromboembolism , 1999, Heart.
[22] J. N. Tilton,et al. Spatial distributions of mean age and higher moments in steady continuous flows , 2010 .
[23] Elliot R. McVeigh,et al. A Computational Framework for Personalized Blood Flow Analysis in the Human Left Atrium , 2016, Annals of Biomedical Engineering.
[24] Silvia Schievano,et al. Computational Fluid Dynamic Analysis of the Left Atrial Appendage to Predict Thrombosis Risk , 2018, fcvm.
[25] D. Singer,et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. , 2001, JAMA.
[26] V. Martín-Yuste,et al. Reducción de eventos a largo plazo tras el cierre de la orejuela izquierda. Resultados del Registro Ibérico II , 2019, Revista Española de Cardiología.
[27] Piotr J. Slomka,et al. Heart chambers and whole heart segmentation techniques: review , 2012, J. Electronic Imaging.
[28] D. Sánchez-Quintana,et al. Anatomical Classification of Left Atrial Appendages in Specimens Applicable to CT Imaging Techniques for Implantation of Amplatzer Cardiac Plug , 2014, Journal of cardiovascular electrophysiology.
[29] J. López-Mínguez,et al. Resultados inmediatos y a más de un año en 35 pacientes consecutivos a los que se realiza cierre de orejuela izquierda con el dispositivo Amplatzer Cardiac Plug , 2013 .
[30] T. Ebbers,et al. Impact of Pulmonary Venous Inflow on Cardiac Flow Simulations: Comparison with In Vivo 4D Flow MRI , 2018, Annals of Biomedical Engineering.
[31] Tomoyuki Yambe,et al. Numerical analysis of hemodynamic changes in the left atrium due to atrial fibrillation. , 2015, Journal of biomechanics.
[32] Daniel Rueckert,et al. Deep Learning for Cardiac Image Segmentation: A Review , 2020, Frontiers in Cardiovascular Medicine.
[33] Dudley Brian Spalding,et al. A note on mean residence-times in steady flows of arbitrary complexity , 1958 .
[34] Alfio Quarteroni,et al. The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study , 2019, Front. Physiol..
[35] A. Simmons,et al. Determining possible thrombus sites in an extracorporeal device, using computational fluid dynamics-derived relative residence time , 2015, Computer methods in biomechanics and biomedical engineering.
[36] F. Castro,et al. Boundary-Condition Analysis of an Idealized Left Atrium Model , 2021, Annals of Biomedical Engineering.
[37] M. Fornage,et al. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association , 2017, Circulation.
[38] D. Ku,et al. Pulsatile Flow and Atherosclerosis in the Human Carotid Bifurcation: Positive Correlation between Plaque Location and Low and Oscillating Shear Stress , 1985, Arteriosclerosis.
[39] B. Meier,et al. Left atrial appendage occlusion for stroke prevention in atrial fibrillation: multicentre experience with the AMPLATZER Cardiac Plug. , 2016, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.
[40] Shin-ichiro Sugiyama,et al. Relative residence time prolongation in intracranial aneurysms: a possible association with atherosclerosis. , 2013, Neurosurgery.
[41] Aleksandra Pizurica,et al. Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure , 2019, Comput. Biol. Medicine.
[42] Shigeo Wada,et al. Performance assessment of displacement-field estimation of the human left atrium from 4D-CT images using the coherent point drift algorithm , 2019, Comput. Biol. Medicine.
[43] Alfio Quarteroni,et al. A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation , 2017, FIMH.
[44] 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.
[45] A. Regueiro,et al. Left Atrial Appendage Occlusion as Adjunctive Therapy to Anticoagulation for Stroke Recurrence. , 2019, The Journal of invasive cardiology.
[46] P. Wolf,et al. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.
[47] Andriy Myronenko,et al. Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Ling Shao,et al. A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging , 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.