Two-dimensional intraventricular flow pattern visualization using the image-based computational fluid dynamics

Abstract The image-based computational fluid dynamics (IB-CFD) technique, as the combination of medical images and the CFD method, is utilized in this research to analyze the left ventricle (LV) hemodynamics. The research primarily aims to propose a semi-automated technique utilizing some freely available and commercial software packages in order to simulate the LV hemodynamics using the IB-CFD technique. In this research, moreover, two different physiological time-resolved 2D models of a patient-specific LV with two different types of aortic and mitral valves, including the orifice-type valves and integrated with rigid leaflets, are adopted to visualize the process of developing intraventricular vortex formation and propagation. The blood flow pattern over the whole cardiac cycle of two models is also compared to investigate the effect of utilizing different valve types in the process of the intraventricular vortex formation. Numerical findings indicate that the model with integrated valves can predict more complex intraventricular flow that can match better the physiological flow pattern in comparison to the orifice-type model.

[1]  T. Böhlke,et al.  Partitioned Fluid–Solid Coupling for Cardiovascular Blood Flow , 2010, Annals of Biomedical Engineering.

[2]  Seiichi Sudo,et al.  Analysis of flow within a left ventricle model fully assisted with continuous flow through the aortic valve. , 2012, Artificial organs.

[3]  T. Schaeffter,et al.  Towards a fast and efficient approach for modelling the patient-specific ventricular haemodynamics. , 2014, Progress in biophysics and molecular biology.

[4]  D N Firmin,et al.  The influence of inflow boundary conditions on intra left ventricle flow predictions. , 2003, Journal of biomechanical engineering.

[5]  D N Firmin,et al.  Subject-specific computational simulation of left ventricular flow based on magnetic resonance imaging , 2008, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[6]  Michael Markl,et al.  MRI-Based CFD Analysis of Flow in a Human Left Ventricle: Methodology and Application to a Healthy Heart , 2009, Annals of Biomedical Engineering.

[7]  Saleh Hassanzadeh Gharaie,et al.  A Novel Design of a Polymeric Aortic Valve , 2015, The International journal of artificial organs.

[8]  Kayvan Sadeghy,et al.  Peristaltic Pumping of Thixotropic Fluids: a Numerical Study , 2012 .

[9]  L Zhong,et al.  CFD simulation of flow through heart: a perspective review , 2011, Computer methods in biomechanics and biomedical engineering.

[10]  J Degroote,et al.  FSI simulation of asymmetric mitral valve dynamics during diastolic filling , 2012, Computer methods in biomechanics and biomedical engineering.

[11]  Jung Hee Seo,et al.  Computational modeling and analysis of intracardiac flows in simple models of the left ventricle , 2012 .

[12]  Umberto Morbiducci,et al.  The Evolution of Computational Hemodynamics as a Clinical Tool in Decision Making, Patient Specific Treatment and Clinical Management , 2014, Annals of Biomedical Engineering.

[13]  Fotis Sotiropoulos,et al.  Fluid-structure interaction of an aortic heart valve prosthesis driven by an animated anatomic left ventricle , 2013, J. Comput. Phys..

[14]  Alireza Riasi,et al.  The influence of the non-Newtonian properties of blood on blood-hammer through the posterior cerebral artery. , 2015, Mathematical biosciences.

[15]  N. A. Abu Osman,et al.  Effect of spatial inlet velocity profiles on the vortex formation pattern in a dilated left ventricle , 2015, Computer methods in biomechanics and biomedical engineering.

[16]  P. Verdonck,et al.  Influence of Valve Size, Orientation and Downstream Geometry of an Aortic BMHV on Leaflet Motion and Clinically Used Valve Performance Parameters , 2014, Annals of Biomedical Engineering.

[17]  Y. Morsi,et al.  Fluid structure interaction (FSI) simulation of the left ventricle (LV) during the early filling wave (E-wave), diastasis and atrial contraction wave (A-wave) , 2014, Australasian Physical & Engineering Sciences in Medicine.

[18]  Siamak N. Doost,et al.  The numerical analysis of non-Newtonian blood flow in human patient-specific left ventricle , 2016, Comput. Methods Programs Biomed..

[19]  Guang-Zhong Yang,et al.  Progress Towards Patient-Specific Computational Flow Modeling of the Left Heart via Combination of Magnetic Resonance Imaging with Computational Fluid Dynamics , 2004, Annals of Biomedical Engineering.

[20]  Young Joon Choi,et al.  Computational Study of the Dynamics of a Bileaflet Mechanical Heart Valve in the Mitral Position , 2014, Annals of Biomedical Engineering.

[21]  Alberto Redaelli,et al.  Multiscale fluid-structure interaction simulation of anatomically correct left ventricle fluid dynamics with fictitious elastic structure regularization , 2012 .

[22]  D. Comaniciu,et al.  Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images , 2011, Interface Focus.

[23]  Liang Zhong,et al.  Fluid-dynamics modelling of the human left ventricle with dynamic mesh for normal and myocardial infarction: Preliminary study , 2012, Comput. Biol. Medicine.

[24]  Reza Razavi,et al.  Patient specific fluid–structure ventricular modelling for integrated cardiac care , 2013, Medical & Biological Engineering & Computing.

[25]  Liang Zhong,et al.  Numerical simulation of patient-specific left ventricular model with both mitral and aortic valves by FSI approach , 2014, Comput. Methods Programs Biomed..

[26]  Liang Zhong,et al.  Patient-specific blood flows and vortex formations in patients with hypertrophic cardiomyopathy using computational fluid dynamics , 2014, 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).

[27]  Liang Zhong,et al.  The influence of non-Newtonian characteristics of blood on the patient-specific left ventricle , 2015 .

[28]  Einar Heiberg,et al.  Design and validation of Segment - freely available software for cardiovascular image analysis , 2010, BMC Medical Imaging.

[29]  Liang Zhong,et al.  Numerical Modeling of Intraventricular Flow during Diastole after Implantation of BMHV , 2015, PloS one.

[30]  Alireza Riasi,et al.  Quasi-Two-Dimensional Numerical Analysis of Fast Transient Flows Considering Non-Newtonian Effects , 2016 .

[31]  Franck Nicoud,et al.  Image-based large-eddy simulation in a realistic left heart , 2014 .

[32]  G. Pedrizzetti,et al.  Emerging trends in CV flow visualization. , 2012, JACC. Cardiovascular imaging.

[33]  Xiaodong Sheldon Wang Fundamentals of Fluid-Solid Interactions: Analytical and Computational Approaches , 2008 .

[34]  Jung Hee Seo,et al.  Effect of diastolic flow patterns on the function of the left ventricle , 2013 .

[35]  A P Yoganathan,et al.  Three-dimensional computational model of left heart diastolic function with fluid-structure interaction. , 2000, Journal of biomechanical engineering.

[36]  A. D. Gosman,et al.  Computational Flow Modeling of the Left Ventricle Based on In Vivo MRI Data: Initial Experience , 2001, Annals of Biomedical Engineering.

[37]  Hao Liu,et al.  A multi-scale computational method applied to the quantitative evaluation of the left ventricular function , 2007, Comput. Biol. Medicine.

[38]  Siamak N. Doost,et al.  Heart blood flow simulation: a perspective review , 2016, Biomedical engineering online.

[39]  Vahid Askari,et al.  Pulsatile flow of thixotropic fluids through a partially-constricted tube , 2013 .

[40]  Boudewijn P F Lelieveldt,et al.  Vortex flow during early and late left ventricular filling in normal subjects: quantitative characterization using retrospectively-gated 4D flow cardiovascular magnetic resonance and three-dimensional vortex core analysis , 2014, Journal of Cardiovascular Magnetic Resonance.

[41]  Fotis Sotiropoulos,et al.  On the three-dimensional vortical structure of early diastolic flow in a patient-specific left ventricle. , 2012, European journal of mechanics. B, Fluids.

[42]  R. Mittal,et al.  Effect of the mitral valve on diastolic flow patterns , 2014 .

[43]  Shigeo Wada,et al.  Influence of the Opening Mode of the Mitral Valve Orifice on Intraventricular Hemodynamics , 2006, Annals of Biomedical Engineering.

[44]  Yingying Hu,et al.  An elongation model of left ventricle deformation in diastole , 2013, Computer methods in biomechanics and biomedical engineering.

[45]  Alejandro F. Frangi,et al.  Numerical simulation of blood flow in the left ventricle and aortic sinus using magnetic resonance imaging and computational fluid dynamics , 2014, Computer methods in biomechanics and biomedical engineering.

[46]  Toshiaki Hisada,et al.  The looped heart does not save energy by maintaining the momentum of blood flowing in the ventricle. , 2008, American journal of physiology. Heart and circulatory physiology.

[47]  Vinh-Tan Nguyen,et al.  A semi-automated method for patient-specific computational flow modelling of left ventricles , 2015, Computer methods in biomechanics and biomedical engineering.

[48]  L. Zhong,et al.  Three-Dimensional MRI-based Computational Fluid Modeling of the Left Ventricle for Patient before and after Surgical Ventricular Restoration , 2012, 2012 International Conference on Biomedical Engineering and Biotechnology.

[49]  L. Zhong,et al.  Three‐dimensional CFD/MRI modeling reveals that ventricular surgical restoration improves ventricular function by modifying intraventricular blood flow , 2014, International journal for numerical methods in biomedical engineering.

[50]  Juan C. del Álamo,et al.  The Clinical Assessment of Intraventricular Flows , 2015 .

[51]  A. Marsden,et al.  An integrated approach to patient-specific predictive modeling for single ventricle heart palliation , 2014, Computer methods in biomechanics and biomedical engineering.

[52]  Shigeo Wada,et al.  Computational analysis of blood flow in an integrated model of the left ventricle and the aorta. , 2006, Journal of biomechanical engineering.

[53]  M. Carlsson,et al.  Time resolved three-dimensional automated segmentation of the left ventricle , 2005, Computers in Cardiology, 2005.

[54]  Gianni Pedrizzetti,et al.  Nature optimizes the swirling flow in the human left ventricle. , 2005, Physical review letters.

[55]  Jürgen Hennig,et al.  Fluid-dynamic modeling of the human left ventricle: methodology and application to surgical ventricular reconstruction. , 2009, The Annals of thoracic surgery.

[56]  G. Pedrizzetti,et al.  Three dimensional numerical assessment of the right ventricular flow using 4D echocardiography boundary data , 2012 .

[57]  Giorgio Galanti,et al.  Comparative numerical study on left ventricular fluid dynamics after dilated cardiomyopathy. , 2013, Journal of biomechanics.

[58]  Liang Zhong,et al.  Cardiac MRI based numerical modeling of left ventricular fluid dynamics with mitral valve incorporated. , 2016, Journal of biomechanics.