Numerical Study for Blood Flow in Pulmonary Arteries after Repair of Tetralogy of Fallot

Chern, Ming Jyh; Wu, Ming Ting; Her, Sheau Wei

doi:10.1155/2012/198108

Cited by 28 publications

(40 citation statements)

References 29 publications

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“…Apparently, the critical role of the pulmonary bifurcation shape on flow patterns has been only partially recognized for post-operative CHD geometries. The influence of the pul-monary bifurcation morphology on hemodynamics was computationally explored by Chern and coworkers [38,39] for patients with repaired tetralogy of Fallot (TOF). Similar to the results presented in this work, they found separated flow in the proximal pulmonary branches as a consequence of narrow bifurcation angles.…”

Section: Discussionmentioning

confidence: 99%

Computational Study of Pulmonary Flow Patterns After Repair of Transposition of Great Arteries

Capuano¹,

Loke

Cronin

et al. 2019

Journal of Biomechanical Engineering

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Patients that undergo the arterial switch operation (ASO) to repair transposition of great arteries (TGA) can develop abnormal pulmonary trunk morphology with significant longterm complications. In this study, cardiovascular magnetic resonance was combined with computational fluid dynamics to investigate the impact of the post-operative layout on the pulmonary flow patterns. Three ASO patients were analyzed and compared to a normal control. Results showed the presence of anomalous shear layer instabilities, vortical and helical structures, and turbulent-like states in all patients, particularly as a consequence of the unnatural curvature of the pulmonary bifurcation. Streamlined, mostly laminar flow was instead found in the healthy subject. These findings shed light on the correlation between the post-ASO anatomy and the presence of altered flow features, and may be useful to improve surgical planning as well as the long-term care of TGA patients.

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Section: Discussionmentioning

confidence: 99%

Computational Study of Pulmonary Flow Patterns After Repair of Transposition of Great Arteries

Capuano¹,

Loke

Cronin

et al. 2019

Journal of Biomechanical Engineering

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“…2. Flow patterns and velocity distributions shown at the minimum flow location and at end diastole (as noted by the black dots on the graph) [93]. With permission and adapted from Chern et al [93].…”

Section: Tetralogy Of Fallot Cfd Modelingmentioning

confidence: 99%

Novel Applications of Cardiovascular Magnetic Resonance Imaging-Based Computational Fluid Dynamics Modeling in Pediatric Cardiovascular and Congenital Heart Disease

Samyn¹,

LaDisa²

2016

Assessment of Cellular and Organ Function and Dysfunction Using Direct and Derived MRI Methodologies

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Cardiovascular diseases (CVDs) afflict many people across the world; thus, understanding the pathophysiology of CVD and the biomechanical forces which influence CVD progression is important in the development of optimal strategies to care for these patients. Over the last two decades, cardiac magnetic resonance (CMR) imaging has offered increasingly important insights into CVD. Computational fluid dynamics (CFD) modeling, a method of simulating the characteristics of flowing fluids, can be applied to the study of CVD through the collaboration of engineers and clinicians. This chapter aims to explore the current state of the CMR-derived CFD, as this technique pertains to both acquired CVD (i.e., atherosclerosis) and congenital heart disease (CHD).

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“…CFPD simulation provides an attractive way to study the particle delivery in a complex geometry model [11,17,18]. Some examples are presented by Schroeter et al [19], Chern et al [20,21], and Zhang et al [22,23]. Most current numerical simulations for vascular network adopt realistic geometry with less than four generations in order to make computational costs affordable.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Particle Transport and Deposition in the Pulmonary Vasculature

Sohrabi

Zheng

Finol

et al. 2014

Journal of Biomechanical Engineering

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To quantify the transport and adhesion of drug particles in a complex vascular environment, computational fluid particle dynamics (CFPD) simulations of blood flow and drug particulate were conducted in three different geometries representing the human lung vasculature for steady and pulsatile flow conditions. A fully developed flow profile was assumed as the inlet velocity, and a lumped mathematical model was used for the calculation of the outlet pressure boundary condition. A receptor-ligand model was used to simulate the particle binding probability. The results indicate that bigger particles have lower deposition fraction due to less chance of successful binding. Realistic unsteady flow significantly accelerates the binding activity over a wide range of particle sizes and also improves the particle deposition fraction in bifurcation regions when comparing with steady flow condition. Furthermore, surface imperfections and geometrical complexity coupled with the pulsatility effect can enhance fluid mixing and accordingly particle binding efficiency. The particle binding density at bifurcation regions increases with generation order and drug carriers are washed away faster in steady flow. Thus, when studying drug delivery mechanism in vitro and in vivo, it is important to take into account blood flow pulsatility in realistic geometry. Moreover, tissues close to bifurcations are more susceptible to deterioration due to higher uptake.

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Numerical Study for Blood Flow in Pulmonary Arteries after Repair of Tetralogy of Fallot

Cited by 28 publications

References 29 publications

Computational Study of Pulmonary Flow Patterns After Repair of Transposition of Great Arteries

Computational Study of Pulmonary Flow Patterns After Repair of Transposition of Great Arteries

Novel Applications of Cardiovascular Magnetic Resonance Imaging-Based Computational Fluid Dynamics Modeling in Pediatric Cardiovascular and Congenital Heart Disease

Numerical Simulation of Particle Transport and Deposition in the Pulmonary Vasculature

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