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

References

• Annerel S, Claessens T, Taelman L, Degroote J, Van Nooten G, Verdonck P, Segers P, Vierendeels J. 2014. Influence of valve size, orientation and downstream geometry of an aortic BMHV on leaflet motion and clinically used valve performance parameters. Ann Biomed Eng. Sep 4;43:1–15.
   Web of Science ®Google Scholar
• Arefin MS, Morsi YS. 2014. Fluid structure interaction (FSI) simulation of the left ventricle (LV) during the early filling wave (E-wave), diastasis and atrial contraction wave (A-wave). Australas Phys Eng Sci Med. Feb 26;37:1–11.
   PubMed Web of Science ®Google Scholar
• Bermejo J, Martínez-Legazpi P, del Álamo JC. 2015. The clinical assessment of intraventricular flows. Annu Rev Fluid Mech. 47:315–342.10.1146/annurev-fluid-010814-014728
   Web of Science ®Google Scholar
• Chan BT, Lim E, Ong CW, Abu Osman NA. 2013. Effect of spatial inlet velocity profiles on the vortex formation pattern in a dilated left ventricle. Comput Methods Biomech Biomed Eng. 18:1–7.
   PubMed Web of Science ®Google Scholar
• Chnafa C, Mendez S, Nicoud F. 2014. Image-based large-eddy simulation in a realistic left heart. Comput Fluids. May 1;94:173–187.10.1016/j.compfluid.2014.01.030
   Web of Science ®Google Scholar
• Choi Y, Vedula V, Mittal R. 2014. Computational study of the dynamics of a bileaflet mechanical heart valve in the mitral position. Ann Biomed Eng. Apr 29;42:1–13.
   PubMed Web of Science ®Google Scholar
• Corsini C, Baker C, Kung E, Schievano S, Arbia G, Baretta A, Biglino G, Migliavacca F, Dubini G, Pennati G, et al. 2013. An integrated approach to patient-specific predictive modeling for single ventricle heart palliation. Comput Methods Biomech Biomed Eng. [2014 Oct 26];17:1572–1589.
   PubMed Web of Science ®Google Scholar
• Dahl SK, Vierendeels J, Degroote J, Annerel S, Hellevik LR, Skallerud B. 2010. FSI simulation of asymmetric mitral valve dynamics during diastolic filling. Comput Methods Biomech Biomed Eng. [2012 Feb 1];15:121–130.
   Web of Science ®Google Scholar
• de Vecchi A, Gomez A, Pushparajah K, Schaeffter T, Nordsletten DA, Simpson JM, Penney GP, Smith NP. 2014. Towards a fast and efficient approach for modelling the patient-specific ventricular haemodynamics. Prog Biophys Mol Biol. Sep;116:3–10.10.1016/j.pbiomolbio.2014.08.010
   PubMed Web of Science ®Google Scholar
• de Vecchi A, Nordsletten DA, Razavi R, Greil G, Smith NP. 2013. Patient specific fluid–structure ventricular modelling for integrated cardiac care. Med Biol Eng Comput. Nov 1;51:1261–1270.10.1007/s11517-012-1030-5
   PubMed Web of Science ®Google Scholar
• Doenst T, Spiegel K, Reik M, Markl M, Hennig J, Nitzsche S, Beyersdorf F, Oertel H. 2009. Fluid-dynamic modeling of the human left ventricle: methodology and application to surgical ventricular reconstruction. Ann Thoracic Surg. Apr;87:1187–1195.10.1016/j.athoracsur.2009.01.036
   PubMed Web of Science ®Google Scholar
• Doost SN, Ghista D, Su B, Zhong L, Morsi YS. 2016. Heart blood flow simulation: a perspective review. BioMed Eng OnLine. 15:1–28.
   Web of Science ®Google Scholar
• Doost S, Zhong L, Su B, Morsi Y. 2015. The influence of non-Newtonian characteristics of blood on the patient-specific left ventricle. Proceedings of the Australian Biomedical Engineering Conference (ABEC 2015); 2015 Nov 22–25; Engineers Australia.
   Google Scholar
• Doost SN, Zhong L, Su B, Morsi YS. 2016. The numerical analysis of non-Newtonian blood flow in human patient-specific left ventricle. Comput Methods Program Biomed. Apr;127:232–247.10.1016/j.cmpb.2015.12.020
   PubMed Web of Science ®Google Scholar
• Elbaz M, Calkoen E, Westenberg J, Lelieveldt B, Roest A, van der Geest R. 2014. 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. J Cardiovasc Magn Reson. Sep 27;16:1–12.
   PubMed Web of Science ®Google Scholar
• Gharaie SH, Morsi Y. 2015. A novel design of a polymeric aortic valve. Int J Artif Organs. 38:259–270.10.5301/ijao.5000413
   PubMed Web of Science ®Google Scholar
• Heiberg E, Wigstrom L, Carlsson M, Bolger AF, Karlsson M. 2005. Time resolved three-dimensional automated segmentation of the left ventricle. In: Proceedings of the Computers in Cardiology. Sep 25–28. Lyon, France: IEEE.
   Google Scholar
• Heiberg E, Sjögren J, Ugander M, Carlsson M, Engblom H, Arheden H. 2010. Design and validation of segment – freely available software for cardiovascular image analysis. BMC Med Imaging. 10:594–13.10.1186/1471-2342-10-1
   Google Scholar
• Hu Y, Shi L, Du D, Parameswaran S, He Z. 2011. An elongation model of left ventricle deformation in diastole. Comput Methods Biomech Biomed Eng. [2013 Jan 1];16:66–72.
   PubMed Web of Science ®Google Scholar
• Khalafvand SS, Ng EYK, Zhong L. 2011. CFD simulation of flow through heart: a perspective review. Comput Methods Biomech Biomed Eng. Feb 1;14:113–132.10.1080/10255842.2010.493515
   PubMed Web of Science ®Google Scholar
• Khalafvand SS, Ng EYK, Zhong L. 2012. Three-dimensional MRI-based computational fluid modeling of the left ventricle for patient before and after surgical ventricular restoration. In: Proceedings of the Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on. Macau, China: IEEE.
   Google Scholar
• Khalafvand SS, Ng EYK, Zhong L, Hung TK. 2012. Fluid-dynamics modelling of the human left ventricle with dynamic mesh for normal and myocardial infarction: preliminary study. Comput Biol Med. Aug;42:863–870.10.1016/j.compbiomed.2012.06.010
   PubMed Web of Science ®Google Scholar
• Khalafvand SS, Zhong L, Ng EYK. 2014. Three-dimensional CFD/MRI modeling reveals that ventricular surgical restoration improves ventricular function by modifying intraventricular blood flow. Int J Numer Methods Biomed Eng. 30:1044–1056.10.1002/cnm.v30.10
   PubMed Web of Science ®Google Scholar
• Krittian S, Janoske U, Oertel H, Böhlke T. 2010. Partitioned fluid–solid coupling for cardiovascular blood flow. Ann Biomed Eng. Apr 1;38:1426–1441.10.1007/s10439-009-9895-7
   PubMed Web of Science ®Google Scholar
• Lassila TM, Malossi ACI, Stevanella M, Deparis S, Votta E, Redaelli A. 2012. Multiscale fluid–structure interaction simulation of anatomically correct left ventricle fluid dynamics with fictitious elastic structure regularization. (EPFL-REPORT-181237). Lausanne, Switzerland: Wiley InterScience.
   Google Scholar
• Le TB, Sotiropoulos F. 2012. On the three-dimensional vortical structure of early diastolic flow in a patient-specific left ventricle. Eur J Mech B Fluids. Sep;35:20–24.10.1016/j.euromechflu.2012.01.013
   PubMed Web of Science ®Google Scholar
• Le TB, Sotiropoulos F. 2013. Fluid–structure interaction of an aortic heart valve prosthesis driven by an animated anatomic left ventricle. J Comput Phys. Jul 1;244:41–62.10.1016/j.jcp.2012.08.036
   PubMed Web of Science ®Google Scholar
• Lemmon JD, Yoganathan AP. 2000. Three-dimensional computational model of left heart diastolic function with fluid–structure interaction. J Biomech Eng. 122:109-117.
   PubMed Web of Science ®Google Scholar
• Liang F, Taniguchi H, Liu H. 2007. A multi-scale computational method applied to the quantitative evaluation of the left ventricular function. Comput Biol Med. May;37:700-715.10.1016/j.compbiomed.2006.06.011
   PubMed Web of Science ®Google Scholar
• Long Q, Merrifield R, Xu X, Kilner P, Firmin D, Yang G. 2008. Subject-specific computational simulation of left ventricular flow based on magnetic resonance imaging. Proc Inst Mech Eng Part H: J Eng Med. 222:475–485.10.1243/09544119JEIM310
   PubMed Web of Science ®Google Scholar
• Long Q, Merrifield R, Yang GZ, Xu XY, Kilner PJ, Firmin DN. 2004. The influence of inflow boundary conditions on intra left ventricle flow predictions. J Biomech Eng. 125:922–927.
   Web of Science ®Google Scholar
• Mangual JO, Domenichini F, Pedrizzetti G. 2012. Three dimensional numerical assessment of the right ventricular flow using 4D echocardiography boundary data. Eur J Mech B Fluids. Sep;35:25–30.
   Web of Science ®Google Scholar
• Mangual JO, Kraigher-Krainer E, De Luca A, Toncelli L, Shah A, Solomon S, Galanti G, Domenichini F, Pedrizzetti G. 2013. Comparative numerical study on left ventricular fluid dynamics after dilated cardiomyopathy. J Biomech. Jun 21;46:1611–1617.10.1016/j.jbiomech.2013.04.012
   PubMed Web of Science ®Google Scholar
• 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. 1:286–296.10.1098/rsfs.2010.0036
   PubMed Web of Science ®Google Scholar
• Moosavi M-H, Fatouraee N, Katoozian H, Pashaei A, Camara O, Frangi AF. 2012. Numerical simulation of blood flow in the left ventricle and aortic sinus using magnetic resonance imaging and computational fluid dynamics. Comput Methods Biomech Biomed Eng. 2014 May 19;17:740–749.
   PubMed Web of Science ®Google Scholar
• Nakamura M, Wada S, Yamaguchi T. 2006a. Computational analysis of blood flow in an integrated model of the left ventricle and the aorta. J Biomech Eng. 128:837–843.
   PubMed Web of Science ®Google Scholar
• Nakamura M, Wada S, Yamaguchi T. 2006b. Influence of the opening mode of the mitral valve orifice on Intraventricular hemodynamics. Ann Biomed Eng. Jun 1;34:927–935.10.1007/s10439-006-9127-3
   PubMed Web of Science ®Google Scholar
• Nezamidoost S, Sadeghy K. 2012. Peristaltic pumping of thixotropic fluids: a numerical study. Nihon Reoroji Gakkaishi. 40:1–9.10.1678/rheology.40.1
   Web of Science ®Google Scholar
• Nezamidoost S, Sadeghy K, Askari V. 2013. Pulsatile flow of thixotropic fluids through a partially-constricted tube. Nihon Reoroji Gakkaishi. 41:45–52.10.1678/rheology.41.45
   Web of Science ®Google Scholar
• Nguyen V-T, Loon CJ, Nguyen HH, Liang Z, Leo HL. 2013. A semi-automated method for patient-specific computational flow modelling of left ventricles. Comput Methods Biomech Biomed Eng. 18:1–13.
   PubMed Web of Science ®Google Scholar
• Pedrizzetti G, Domenichini F. 2005. Nature optimizes the swirling flow in the human left ventricle. Phys Rev Lett. Sep 2;95:108101–108104.
   PubMed Web of Science ®Google Scholar
• Saber N, Gosman AD, Wood N, Kilner P, Charrier C, Firmin D. 2001. Computational flow modeling of the left ventricle based on in vivo MRI data: initial experience. Ann Biomed Eng. Apr 1;29:275–283.10.1114/1.1359452
   PubMed Web of Science ®Google Scholar
• Saber N, Wood N, Gosman AD, Merrifield R, Yang G-Z, Charrier C, Gatehouse P, Firmin D. 2003. Progress towards patient-specific computational flow modeling of the left heart via combination of magnetic resonance imaging with computational fluid dynamics. Ann Biomed Eng. Jan 1;31:42–52.10.1114/1.1533073
   PubMed Web of Science ®Google Scholar
• Schenkel T, Malve M, Reik M, Markl M, Jung B, Oertel H. 2009. MRI-based CFD analysis of flow in a human left ventricle: methodology and application to a healthy heart. Ann Biomed Eng. Mar 1;37:503–515.10.1007/s10439-008-9627-4
   PubMed Web of Science ®Google Scholar
• Sengupta PP, Pedrizzetti G, Kilner PJ, Kheradvar A, Ebbers T, Tonti G, Fraser AG, Narula J. 2012. Emerging trends in CV flow visualization. JACC: Cardiovasc Imaging. Mar;5:305–316.
   PubMed Web of Science ®Google Scholar
• Seo JH, Mittal R. 2013. Effect of diastolic flow patterns on the function of the left ventricle. Phys Fluids (1994–present). 25:1–21.
   Web of Science ®Google Scholar
• Seo JH, Vedula V, Abraham T, Lardo AC, Dawoud F, Luo H, Mittal R. 2014. Effect of the mitral valve on diastolic flow patterns. Phys Fluids. 26:121901–121914.
   Web of Science ®Google Scholar
• Su B, Kabinejadian F, Phang HQ, Kumar GP, Cui F, Kim S, Tan RS, Hon JKF, Allen JC, Leo HL, et al. 2015. Numerical modeling of intraventricular flow during diastole after Implantation of BMHV. PLoS ONE. May 11;10:e0126315/0126311–0126316.
   Web of Science ®Google Scholar
• Su B, Zhang J-M, Tang HC, Wan M, Lim CCW, Su Y, Zhao X, Tan RS, Zhong L. 2014. Patient-specific blood flows and vortex formations in patients with hypertrophic cardiomyopathy using computational fluid dynamics. Proceedings of the Biomedical Engineering and Sciences (IECBES); 2014 Dec 8–10. Sarawak, Malaysia: IEEE.
   Google Scholar
• Su B, Zhong L, Wang X-K, Zhang J-M, Tan RS, Allen JC, Tan SK, Kim S, Leo HL. 2014. Numerical simulation of patient-specific left ventricular model with both mitral and aortic valves by FSI approach. Comput Methods Programs Biomed. 113:474–482.10.1016/j.cmpb.2013.11.009
   PubMed Web of Science ®Google Scholar
• Su B, Tan RS, Tan JL, Guo KWQ, Zhang JM, Leng S, Zhao X, Allen JC, Zhong L. 2016. Cardiac MRI based numerical modeling of left ventricular fluid dynamics with mitral valve incorporated. J Biomech. May 3;49:1199–1205.10.1016/j.jbiomech.2016.03.008
   PubMed Web of Science ®Google Scholar
• Tazraei P, Riasi A. 2015. Quasi-two-dimensional numerical analysis of fast transient flows considering non-Newtonian effects. J Fluids Eng. 138:011203–011203.10.1115/1.4031093
   Google Scholar
• Tazraei P, Riasi A, Takabi B. 2015. The influence of the non-Newtonian properties of blood on blood-hammer through the posterior cerebral artery. Math Biosci. 264:119–127.10.1016/j.mbs.2015.03.013
   PubMed Web of Science ®Google Scholar
• Wang X. 2008. Fundamentals of fluid–solid interactions: analytical and computational approaches. Amsterdam, The Netherlands: Elsevier Science.
   Google Scholar
• Watanabe H, Sugiura S, Hisada T. 2008. The looped heart does not save energy by maintaining the momentum of blood flowing in the ventricle. Am J Physiol – Heart Circulat Physiol. May 1;294:H2191–H2196.10.1152/ajpheart.00041.2008
   Google Scholar
• Yano T, Funayama M, Sudo S, Mitamura Y. 2012. Analysis of flow within a left ventricle model fully assisted With continuous flow through the aortic valve. Artif Organs. 36:714–723.10.1111/aor.2012.36.issue-8
   PubMed Web of Science ®Google Scholar
• Zheng X, Seo JH, Vedula V, Abraham T, Mittal R. 2012. Computational modeling and analysis of intracardiac flows in simple models of the left ventricle. Eur J Mech B Fluids. 35:31–39.10.1016/j.euromechflu.2012.03.002
   Web of Science ®Google Scholar