Abstract:The emergence of new cardiac diagnostics and therapeutics of the heart has given rise to the challenging field of virtual design and testing of technologies in a patient-specific environment. Given the recent advances in medical imaging, computational power and mathematical algorithms, patient-specific cardiac models can be produced from cardiac images faster, and more efficiently than ever before. The emergence of patient-specific computational fluid dynamics (CFD) has paved the way for the new field of compu… Show more
“…The effect of non-planarity is also observed at the LAD, as displayed in Figure 11. The non-planar model presents asymmetrical flow behavior, similarly to the patient-specific model, in contrast with the symmetric flow in the planar model- Figure 11 (7) eccentricity.…”
Section: Effect Of Non-planarity In the Flow Fieldmentioning
confidence: 91%
“…Numerical results obtained for the steady state and Newtonian blood behavior FIGURE 9 Cross sections perpendicular to the flow along left anterior descending (LAD) a left circumflex arteries (LCx) branches located at LCx branch, three of them in the stenotic region ( Figure 9-(1), (2), and (3), red) and the other two where the LCx deviates from the main plane (Figure 9-(4) and (5), green). The remaining cross sections are located at the LAD in the region where this branch deviates from the main plane (Figure 9-(6), (7), and (8), blue).…”
Section: Effect Of Non-planarity In the Flow Fieldmentioning
confidence: 99%
“…Numerical simulation of coronary blood flow in patient‐specific geometry has been focus of several papers. The procedure was reviewed by Zhong et al and Zhang et al Usually, the geometry is obtained from computed tomography (CT) images of patients with or without lesions in their arteries …”
Atherosclerosis is a common cardiovascular disease found in the left coronary artery (LCA), closely linked to local hemodynamic, which, in turn, is highly influenced by the artery geometry. The hemodynamics in the LCA was studied in a patient‐specific geometry without any sign of disease using both numerical and in vitro approaches. The influence of non‐planarity was evaluated through two models of the patient‐specific LCA that deviate from its original geometry in their planarity. Afterwards, in all models, irregular stenoses were created by a procedure in which the stenosis emerges by diffusion from low wall shear stress (WSS) areas. The WSS distribution and flow patterns were evaluated in all the models. The experimental results validate the numerical code developed to study the blood flow assuming a steady state Newtonian behavior. Comparison between the planar and non‐planar idealized LCA revealed no significant differences in low WSS regions forming stenotic regions with identical shape. In the patient‐specific LCA, the low WSS regions are not consistent with the idealized models leading to a different stenosis shape. The results revealed that the non‐planarity has an unquestionable effect in helicity. It was also demonstrated that eccentricity of the vessels cross section and the position of the apex in relation to the axis of the parent branch contribute to the flow patterns observed. Numerical results of pulsatile blood flow assuming a non‐Newtonian behavior, in the patient‐specific LCA, reinforce the non‐planarity effect in local hemodynamics.
“…The effect of non-planarity is also observed at the LAD, as displayed in Figure 11. The non-planar model presents asymmetrical flow behavior, similarly to the patient-specific model, in contrast with the symmetric flow in the planar model- Figure 11 (7) eccentricity.…”
Section: Effect Of Non-planarity In the Flow Fieldmentioning
confidence: 91%
“…Numerical results obtained for the steady state and Newtonian blood behavior FIGURE 9 Cross sections perpendicular to the flow along left anterior descending (LAD) a left circumflex arteries (LCx) branches located at LCx branch, three of them in the stenotic region ( Figure 9-(1), (2), and (3), red) and the other two where the LCx deviates from the main plane (Figure 9-(4) and (5), green). The remaining cross sections are located at the LAD in the region where this branch deviates from the main plane (Figure 9-(6), (7), and (8), blue).…”
Section: Effect Of Non-planarity In the Flow Fieldmentioning
confidence: 99%
“…Numerical simulation of coronary blood flow in patient‐specific geometry has been focus of several papers. The procedure was reviewed by Zhong et al and Zhang et al Usually, the geometry is obtained from computed tomography (CT) images of patients with or without lesions in their arteries …”
Atherosclerosis is a common cardiovascular disease found in the left coronary artery (LCA), closely linked to local hemodynamic, which, in turn, is highly influenced by the artery geometry. The hemodynamics in the LCA was studied in a patient‐specific geometry without any sign of disease using both numerical and in vitro approaches. The influence of non‐planarity was evaluated through two models of the patient‐specific LCA that deviate from its original geometry in their planarity. Afterwards, in all models, irregular stenoses were created by a procedure in which the stenosis emerges by diffusion from low wall shear stress (WSS) areas. The WSS distribution and flow patterns were evaluated in all the models. The experimental results validate the numerical code developed to study the blood flow assuming a steady state Newtonian behavior. Comparison between the planar and non‐planar idealized LCA revealed no significant differences in low WSS regions forming stenotic regions with identical shape. In the patient‐specific LCA, the low WSS regions are not consistent with the idealized models leading to a different stenosis shape. The results revealed that the non‐planarity has an unquestionable effect in helicity. It was also demonstrated that eccentricity of the vessels cross section and the position of the apex in relation to the axis of the parent branch contribute to the flow patterns observed. Numerical results of pulsatile blood flow assuming a non‐Newtonian behavior, in the patient‐specific LCA, reinforce the non‐planarity effect in local hemodynamics.
“…Computational fluid dynamics (CFD) based procedures are being increasingly used to investigate blood flow characteristics. Various computational models, for the vascular blood flow with different emphases, were presented by a number of researchers . Computational investigation of the blood flow in artificial organs and biomedical devices such as heart pumps in various designs has equally attracted attention .…”
Section: Introductionmentioning
confidence: 99%
“…Various computational models, for the vascular blood flow with different emphases, were presented by a number of researchers. [5][6][7][8][9][10][11] Computational investigation of the blood flow in artificial organs and biomedical devices such as heart pumps in various designs has equally attracted attention. [12][13][14][15] A further field where CFD approaches have been extensively utilized comprises design engineering and performance monitoring of heart valves.…”
Extracorporeal circulation using heart‐lung‐machines is associated with a profound activation of corpuscular and plasmatic components of circulating blood, which can also lead to deleterious events such as systemic inflammatory response and hemolysis. Individual components used to install the extracorporeal circulation have an impact on the level of activation, most predominantly membrane oxygenators and hardshell venous reservoirs as used in extracorporeal systems. The blood flows in two different hardshell reservoirs are computationally investigated. A special emphasis is placed on the prediction of an onset of transition and turbulence generation. Reynolds‐averaged numerical simulations (RANS) based on a transitional turbulence model, as well as large eddy simulations (LES) are applied to achieve an accurate prediction. In the LES analysis, the non‐Newtonian behavior of the blood is considered via the Carreau model. Blood damage potential is quantified applying the Modified Index of Hemolysis (MIH) based on the predicted flow fields. The results indicate that the flows in both reservoirs remain predominantly laminar. For one of the reservoirs, considerable turbulence generation is observed near the exit site, caused by the specific design for the connection with the drainage tube. This difference causes the MIH of this reservoir to be nearly twice as large as compared to the alternative design. However, a substantial improvement of these performance criteria can be expected by a local geometry modification.
Abstract3D bioprinting has enabled the fabrication of tissue‐mimetic constructs with freeform designs that include living cells. In the development of new bioprinting techniques, the controlled use of diffusion has become an emerging strategy to tailor the properties and geometry of printed constructs. Specifically, the diffusion of molecules with specialized functions, including crosslinkers, catalysts, growth factors, or viscosity‐modulating agents, across the interface of printed constructs will directly affect material properties such as microstructure, stiffness, and biochemistry, all of which can impact cell phenotype. For example, diffusion‐induced gelation is employed to generate constructs with multiple materials, dynamic mechanical properties, and perfusable geometries. In general, these diffusion‐based bioprinting strategies can be categorized into those based on inward diffusion (i.e., into the printed ink from the surrounding air, solution, or support bath), outward diffusion (i.e., from the printed ink into the surroundings), or diffusion within the printed construct (i.e., from one zone to another). This review provides an overview of recent advances in diffusion‐based bioprinting strategies, discusses emerging methods to characterize and predict diffusion in bioprinting, and highlights promising next steps in applying diffusion‐based strategies to overcome current limitations in biofabrication.
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