Bulletin of the American Physical Society
70th Annual Meeting of the APS Division of Fluid Dynamics
Volume 62, Number 14
Sunday–Tuesday, November 19–21, 2017; Denver, Colorado
Session E3: Cardiovascular IIIBio Fluids: Internal
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Chair: Alison Marsden, Stanford University Room: 403 |
Sunday, November 19, 2017 4:55PM - 5:08PM |
E3.00001: Performance of uncertainty quantification methodologies and linear solvers in cardiovascular simulations Jongmin Seo, Daniele Schiavazzi, Alison Marsden Cardiovascular simulations are increasingly used in clinical decision making, surgical planning, and disease diagnostics. Patient-specific modeling and simulation typically proceeds through a pipeline from anatomic model construction using medical image data to blood flow simulation and analysis. To provide confidence intervals on simulation predictions, we use an uncertainty quantification (UQ) framework to analyze the effects of numerous uncertainties that stem from clinical data acquisition, modeling, material properties, and boundary condition selection. However, UQ poses a computational challenge requiring multiple evaluations of the Navier-Stokes equations in complex 3-D models. To achieve efficiency in UQ problems with many function evaluations, we implement and compare a range of iterative linear solver and preconditioning techniques in our flow solver. We then discuss applications to patient-specific cardiovascular simulation and how the problem/boundary condition formulation in the solver affects the selection of the most efficient linear solver. Finally, we discuss performance improvements in the context of uncertainty propagation. [Preview Abstract] |
Sunday, November 19, 2017 5:08PM - 5:21PM |
E3.00002: Toward a computational model of hemostasis Karin Leiderman, Nicholas Danes, Rogier Schoeman, Keith Neeves Hemostasis is the process by which a blood clot forms to prevent bleeding at a site of injury. The formation time, size and structure of a clot depends on the local hemodynamics and the nature of the injury. Our group has previously developed computational models to study intravascular clot formation, a process confined to the interior of a single vessel. Here we present the first stage of an experimentally-validated, computational model of extravascular clot formation (hemostasis) in which blood through a single vessel initially escapes through a hole in the vessel wall and out a separate injury channel. This stage of the model consists of a system of partial differential equations that describe platelet aggregation and hemodynamics, solved via the finite element method. We also present results from the analogous, in vitro, microfluidic model. In both models, formation of a blood clot occludes the injury channel and stops flow from escaping while blood in the main vessel retains its fluidity. We discuss the different biochemical and hemodynamic effects on clot formation using distinct geometries representing intra- and extravascular injuries. [Preview Abstract] |
Sunday, November 19, 2017 5:21PM - 5:34PM |
E3.00003: A Computational Framework to Optimize Subject-Specific Hemodialysis Blood Flow Rate to Prevent Intimal Hyperplasia Javid Mahmoudzadeh, Marta Wlodarczyk, Kevin Cassel Development of excessive intimal hyperplasia (IH) in the cephalic vein of renal failure patients who receive chronic hemodialysis treatment results in vascular access failure and multiple treatment complications. Specifically, cephalic arch stenosis (CAS) is known to exacerbate hypertensive blood pressure, thrombosis, and subsequent cardiovascular incidents that would necessitate costly interventional procedures with low success rates. It has been hypothesized that excessive blood flow rate post access maturation which strongly violates the venous homeostasis is the main hemodynamic factor that orchestrates the onset and development of CAS. In this article, a computational framework based on a strong coupling of computational fluid dynamics (CFD) and shape optimization is proposed that aims to identify the effective blood flow rate on a patient-specific basis that avoids the onset of CAS while providing the adequate blood flow rate required to facilitate hemodialysis. This effective flow rate can be achieved through implementation of Miller's surgical banding method after the maturation of the arteriovenous fistula and is rooted in the relaxation of wall stresses back to a homeostatic target value. The results are indicative that this optimized hemodialysis blood flow rate is, in fact, a subject-specific value that can be assessed post vascular access maturation and prior to the initiation of chronic hemodialysis treatment as a mitigative action against CAS-related access failure. This computational technology can be employed for individualized dialysis treatment. [Preview Abstract] |
Sunday, November 19, 2017 5:34PM - 5:47PM |
E3.00004: A Multiscale Closed-Loop Cardiovascular Model, with Applications to Heart Pacing and Hemorrhage Daniel Canuto, Jeff Eldredge, Kwitae Chong, Peyman Benharash, Erik Dutson A computational tool is developed for simulating the dynamic response of the human cardiovascular system to various stressors and injuries. The tool couples zero-dimensional models of the heart, pulmonary vasculature, and peripheral vasculature to one-dimensional models of the major systemic arteries. To simulate autonomic response, this multiscale circulatory model is integrated with a feedback model of the baroreflex, allowing control of heart rate, cardiac contractility, and peripheral impedance. The performance of the tool is demonstrated in two scenarios: increasing heart rate by stimulating the sympathetic nervous system, and an acute 10 percent hemorrhage from the left femoral artery. [Preview Abstract] |
Sunday, November 19, 2017 5:47PM - 6:00PM |
E3.00005: Systolic Intrinsic Frequency and Various Measures of Left Ventricle Contractility. Niema Pahlevan There has been growing interest during past six decades to introduce new indices for quantifying left ventricular (LV) contractility. We have recently introduced a new method, called intrinsic frequency (IF), for analyzing the dynamics of systemic circulation. IF method models LV and arterial network as an object rotating around an origin where the angular velocity of the rotation during systole (when LV and arterial network are coupled) and diastole (when arterial network is decoupled) are intrinsic frequencies, $\omega $1 and $\omega $2 respectively. $\omega $1 and $\omega $2 can be extracted from a carotid pulse waveform using IF method. In this study, Huntington Medical Research Institutes heart study data have been used to compare $\omega $1 with various measures of LV contractility such as ejection fraction, mean velocity of circumferential fiber shortening, LV end-systolic meridional wall stress, and maximal LV power corrected for end-diastolic volume. Here, LV contractility indices were computed noninvasively from cardiac MRI and tonometry data. The results indicate that $\omega $1 can be used as a surrogate of LV contractility. This is clinically significant since $\omega $1 can be accurately obtained by a standard iPhone camera. [Preview Abstract] |
Sunday, November 19, 2017 6:00PM - 6:13PM |
E3.00006: Application of Dynamic Mode Decomposition: Temporal Evolution of Flow Structures in an Aneurysm William Conlin, Paulo Yu, Vibhav Durgesh An aneurysm is an enlargement of a weakened arterial wall that can be fatal or debilitating on rupture. Aneurysm hemodynamics is integral to developing an understanding of aneurysm formation, growth, and rupture. The flow in an aneurysm exhibits complex fluid dynamics behavior due to an inherent unsteady inflow condition and its interactions with large-scale flow structures present in the aneurysm. The objective of this study is to identify the large-scale structures in the aneurysm, study temporal behavior, and quantify their interaction with the inflow condition. For this purpose, detailed Particle Image Velocimetry (PIV) measurements were performed at the center plane of an idealized aneurysm model for a range of inflow conditions. Inflow conditions were precisely controlled using a ViVitro SuperPump system. Dynamic Modal Decomposition (DMD) of the velocity field was used to identify coherent structures and their temporal behavior. DMD was successful in capturing the large-scale flow structures and their temporal behavior. A low dimensional approximation to the flow field was obtained with the most relevant dynamic modes and was used to obtain temporal information about the coherent structures and their interaction with the inflow, formation, evolution, and growth. [Preview Abstract] |
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