Готові списки джерел за темами / Cardiovascular multiscale modelling

Добірка наукової літератури з теми "Cardiovascular multiscale modelling"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Cardiovascular multiscale modelling"

Vergara, Christian, and Paolo Zunino. "Multiscale Boundary Conditions for Drug Release from Cardiovascular Stents." Multiscale Modeling & Simulation 7, no. 2 (January 2008): 565–88. http://dx.doi.org/10.1137/07070214x.

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Cerutti, Sergio, Dirk Hoyer, and Andreas Voss. "Multiscale, multiorgan and multivariate complexity analyses of cardiovascular regulation." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1892 (February 27, 2009): 1337–58. http://dx.doi.org/10.1098/rsta.2008.0267.

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Cardiovascular system complexity is confirmed by both its generally variegated structure of physiological modelling and the richness of information detectable from processing of the signals involved in it, with strong linear and nonlinear interactions with other biological systems. In particular, this behaviour may be accordingly described by means of what we call MMM paradigm (i.e. multiscale, multiorgan and multivariate). Such an approach to the cardiovascular system emphasizes where the genesis of its complexity is potentially allocated and how it is possible to detect information from it. No doubt that processing signals from multi-leads of the same system (multivariate), from the interaction of different physiological systems (multiorgan) and integrating all this information across multiple scales (from genes, to proteins, molecules, cells, up to the whole organ) could really provide us with a more complete look at the overall phenomenon of cardiovascular system complexity, with respect to the one which is obtainable from its single constituent parts. In this paper, some examples of approaches are discussed for investigating the cardiovascular system in different time and spatial scales, in studying a different organ involvement (such as sleep, depression and multiple organ dysfunction) and in using a multivariate approach via various linear and nonlinear methods for cardiovascular risk stratification and pathology assessment.

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Chabiniok, Radomir, Vicky Y. Wang, Myrianthi Hadjicharalambous, Liya Asner, Jack Lee, Maxime Sermesant, Ellen Kuhl, et al. "Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics." Interface Focus 6, no. 2 (April 6, 2016): 20150083. http://dx.doi.org/10.1098/rsfs.2015.0083.

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With heart and cardiovascular diseases continually challenging healthcare systems worldwide, translating basic research on cardiac (patho)physiology into clinical care is essential. Exacerbating this already extensive challenge is the complexity of the heart, relying on its hierarchical structure and function to maintain cardiovascular flow. Computational modelling has been proposed and actively pursued as a tool for accelerating research and translation. Allowing exploration of the relationships between physics, multiscale mechanisms and function, computational modelling provides a platform for improving our understanding of the heart. Further integration of experimental and clinical data through data assimilation and parameter estimation techniques is bringing computational models closer to use in routine clinical practice. This article reviews developments in computational cardiac modelling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.

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Doste, Ruben, та Alfonso Bueno-Orovio. "Multiscale Modelling of β-Adrenergic Stimulation in Cardiac Electromechanical Function". Mathematics 9, № 15 (28 липня 2021): 1785. http://dx.doi.org/10.3390/math9151785.

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β-adrenergic receptor stimulation (β-ARS) is a physiological mechanism that regulates cardiovascular function under stress conditions or physical exercise. Triggered during the so-called “fight-or-flight” response, the activation of the β-adrenergic receptors located on the cardiomyocyte membrane initiates a phosphorylation cascade of multiple ion channel targets that regulate both cellular excitability and recovery and of different proteins involved in intracellular calcium handling. As a result, β-ARS impacts both the electrophysiological and the mechanical response of the cardiomyocyte. β-ARS also plays a crucial role in several cardiac pathologies, greatly modifying cardiac output and potentially causing arrhythmogenic events. Mathematical patient-specific models are nowadays envisioned as an important tool for the personalised study of cardiac disease, the design of tailored treatments, or to inform risk assessment. Despite that, only a reduced number of computational studies of heart disease have incorporated β-ARS modelling. In this review, we describe the main existing multiscale frameworks to equip cellular models of cardiac electrophysiology with a β-ARS response. We also outline various applications of these multiscale frameworks in the study of cardiac pathology. We end with a discussion of the main current limitations and the future steps that need to be taken to adapt these models to a clinical environment and to incorporate them in organ-level simulations.

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Nikolić, Jovana, Aleksandar Atanasijević, Andreja Živić, Tijana Šušteršič, Miloš Ivanović, and Nenad Filipović. "Development of SGABU Platform for Multiscale Modeling." Ipsi Transactions on Internet research 18, no. 1 (January 1, 2022): 50–55. http://dx.doi.org/10.58245/ipsi.tir.22jr.09.

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SGABU platform was created as a computational platform for multiscale modelling in biomedical engineering. This is one of the few proposed integrated platforms that include different areas of bioengineering. The platform includes already developed solutions, various datasets and models related to cancer, cardiovascular, bone disorders, and tissue engineering. The biggest obstacle in designing a platform of this type is the use of different tools for each of the layers of architecture for models which are created using different technologies and their integration and visualization within a platform. This study describes the technologies that were used for building the platform and methods for data and models visualization. The goal was to build the most flexible system capable of executing tools of various nature and connecting them into a platform.

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HAREWOOD, F., J. GROGAN, and P. McHUGH. "A MULTISCALE APPROACH TO FAILURE ASSESSMENT IN DEPLOYMENT FOR CARDIOVASCULAR STENTS." Journal of Multiscale Modelling 02, no. 01n02 (March 2010): 1–22. http://dx.doi.org/10.1142/s1756973710000278.

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Cardiovascular stents are tiny scaffolds that are used in the treatment of heart disease. The recent development of drug-eluting stents has lead to stent implantation in arterial regions that would previously have been considered too complex. Deployment in these tortuous and branched regions results in an increased deformation of the stent. It is thus important to assess whether there is an increased likelihood of stent failure in deployment in such regions. A multiscale approach, incorporating the results of microscale modeling of failure in individual stent struts and macroscale modeling of stent deployment in realistic arterial geometries is considered in this work. Such an approach allows for a more accurate assessment of failure than is obtainable through the macroscale modeling of deployment in idealized arterial geometries alone, as is presented in previous studies. Results give an insight into failure risks for different stent implantation scenarios: stent failure is unlikely in deployment in tortuous vessels, however there may be risks associated with certain bifurcational stenting techniques.

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Quarteroni, A., A. Manzoni, and C. Vergara. "The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications." Acta Numerica 26 (May 1, 2017): 365–590. http://dx.doi.org/10.1017/s0962492917000046.

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Mathematical and numerical modelling of the cardiovascular system is a research topic that has attracted remarkable interest from the mathematical community because of its intrinsic mathematical difficulty and the increasing impact of cardiovascular diseases worldwide. In this review article we will address the two principal components of the cardiovascular system: arterial circulation and heart function. We will systematically describe all aspects of the problem, ranging from data imaging acquisition, stating the basic physical principles, analysing the associated mathematical models that comprise PDE and ODE systems, proposing sound and efficient numerical methods for their approximation, and simulating both benchmark problems and clinically inspired problems. Mathematical modelling itself imposes tremendous challenges, due to the amazing complexity of the cardiocirculatory system, the multiscale nature of the physiological processes involved, and the need to devise computational methods that are stable, reliable and efficient. Critical issues involve filtering the data, identifying the parameters of mathematical models, devising optimal treatments and accounting for uncertainties. For this reason, we will devote the last part of the paper to control and inverse problems, including parameter estimation, uncertainty quantification and the development of reduced-order models that are of paramount importance when solving problems with high complexity, which would otherwise be out of reach.

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Takizawa, Kenji, Yuri Bazilevs, Tayfun E. Tezduyar, Christopher C. Long, Alison L. Marsden, and Kathleen Schjodt. "ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling." Mathematical Models and Methods in Applied Sciences 24, no. 12 (August 15, 2014): 2437–86. http://dx.doi.org/10.1142/s0218202514500250.

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This paper provides a review of the space–time (ST) and Arbitrary Lagrangian–Eulerian (ALE) techniques developed by the first three authors' research teams for patient-specific cardiovascular fluid mechanics modeling, including fluid–structure interaction (FSI). The core methods are the ALE-based variational multiscale (ALE-VMS) method, the Deforming-Spatial-Domain/Stabilized ST formulation, and the stabilized ST FSI technique. A good number of special techniques targeting cardiovascular fluid mechanics have been developed to be used with the core methods. These include: (i) arterial-surface extraction and boundary condition techniques, (ii) techniques for using variable arterial wall thickness, (iii) methods for calculating an estimated zero-pressure arterial geometry, (iv) techniques for prestressing of the blood vessel wall, (v) mesh generation techniques for building layers of refined fluid mechanics mesh near the arterial walls, (vi) a special mapping technique for specifying the velocity profile at an inflow boundary with non-circular shape, (vii) a scaling technique for specifying a more realistic volumetric flow rate, (viii) techniques for the projection of fluid–structure interface stresses, (ix) a recipe for pre-FSI computations that improve the convergence of the FSI computations, (x) the Sequentially-Coupled Arterial FSI technique and its multiscale versions, (xi) techniques for calculation of the wall shear stress (WSS) and oscillatory shear index (OSI), (xii) methods for stent modeling and mesh generation, (xiii) methods for calculation of the particle residence time, and (xiv) methods for an estimated element-based zero-stress state for the artery. Here we provide an overview of the special techniques for WSS and OSI calculations, stent modeling and mesh generation, and calculation of the residence time with application to pulsatile ventricular assist device (PVAD). We provide references for some of the other special techniques. With results from earlier computations, we show how these core and special techniques work.

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Gao, Yufang, and Zongguo Zhang. "Modelling and Analysis of Complex Viscous Fluid in Thin Elastic Tubes." Complexity 2020 (September 15, 2020): 1–10. http://dx.doi.org/10.1155/2020/9256845.

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Cardiovascular disease is a major threat to human health. The study on the pathogenesis and prevention of cardiovascular disease has received special attention. In this paper, we have contributed to the derivation of a mathematical model for the nonlinear waves in an artery. From the Navier–Stokes equations and continuity equation, the vorticity equation satisfied by the blood flow is established. And based on the multiscale analysis and perturbation method, a new model of the Boussinesq equation with viscous term is derived to describe the propagation of a viscous fluid through a thin tube. In order to be more consistent with the flow of the fluid, the time-fractional Boussinesq equation with viscous term is deduced by employing the semi-inverse method and the fractional variational principle. Moreover, the approximate analytical solution of the fractional equation is obtained, and the effect of viscosity on the amplitude and width of the wave is studied. Finally, the effects of the fractional order parameters and vessel radius on blood flow volume are discussed and analyzed.

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Dupuis, Lauren J., Theo Arts, Frits W. Prinzen, Tammo Delhaas, and Joost Lumens. "Linking cross-bridge cycling kinetics to response to cardiac resynchronization therapy: a multiscale modelling study." EP Europace 20, suppl_3 (November 1, 2018): iii87—iii93. http://dx.doi.org/10.1093/europace/euy230.

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Дисертації з теми "Cardiovascular multiscale modelling"

GALLO, CATERINA. "A multiscale modelling of the cardiovascular fluid dynamics for clinical and space applications." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2872354.

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Частини книг з теми "Cardiovascular multiscale modelling"

Taylor, Andrew, Silvia Schievano, and Giovanni Biglino. "Cross-sectional imaging/modelling." In ESC CardioMed, 756–60. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0174.

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Medical imaging is an integral part of anatomical and function assessment of congenital heart disease (CHD), with cardiovascular magnetic resonance (CMR) imaging and computed tomography (CT) imaging having become essential in the diagnosis and management of both paediatric and adult CHD. These two modalities have respective advantages, but overall their role in CHD is complementary, with key applications including assessment of atrial and ventricular volumes and function, quantification of blood flow velocity, assessment of the coronary arteries, inspection of complex congenital anatomical abnormalities, and evaluation of valve function and shunts. The abundance of data in CMR/CT imaging makes these modalities a precious source of information for building, setting up, and validating computational models. The latter represent tools which can incorporate patient-specific characteristics and can provide insight into the physiology of a CHD scenario and/or predictive data from the numerical simulations. Models can encompass different measures that are relevant in CHD, including haemodynamic information (‘computational fluid dynamics’), structural information, for example, device behaviour in situ (‘finite element modelling’), morphological assessment (‘statistical shape modelling’), and complex phenomena such as growth and remodelling (‘multiscale modelling’).

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Тези доповідей конференцій з теми "Cardiovascular multiscale modelling"

Moura, A., and C. Vergara. "Flow rate boundary conditions and multiscale modelling of the cardiovascular system in compliant domains." In BIOMEDICINE 2005. Southampton, UK: WIT Press, 2005. http://dx.doi.org/10.2495/bio050341.

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Exarchos, Themis P., Yorgos Goletsis, Kostas Stefanou, Evaggelos Fotiou, Dimitrios I. Fotiadis, and Oberdan Parodi. "Patient specific cardiovascular risk assessment and treatment decision support based on multiscale modelling and medical guidelines." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6089867.

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Gallo, Diego, Raffaele Ponzini, Filippo Consolo, Diana Massai, Luca Antiga, Franco M. Montevecchi, Alberto Redaelli, and Umberto Morbiducci. "A Numerical Multiscale Study of the Haemodynamics in an Image-Based Model of Human Carotid Artery Bifurcation." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206159.

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The initiation and progression of vessel wall pathologies have been linked to disturbances of blood flow and altered wall shear stress. The development of computational techniques in fluid dynamics, together with the increasing performances of hardware and software allow to routinely solve problems on a virtual environment, helping to understand the role of biomechanics factors in the healthy and diseased cardiovascular system and to reveal the interplay of biology and local fluid dynamics nearly intractable in the past, opening to detailed investigation of parameters affecting disease progression. One of the major difficulties encountered when wishing to model accurately the cardiovascular system is that the flow dynamics of the blood in a specific vascular district is strictly related to the global systemic dynamics. The multiscale modelling approach for the description of blood flow into vessels consists in coupling a detailed model of the district of interest in the framework of a synthetic description of the surrounding areas of the vascular net [1]. In the present work, we aim at evaluating the effect of boundary conditions on wall shear stress (WSS) related vessel wall indexes and on bulk flow topology inside a carotid bifurcation. To do it, we coupled an image-based 3D model of carotid bifurcation (local computational domain), with a lumped parameters (0D) model (global domain) which allows for physiological mimicking of the haemodynamics at the boundaries of the 3D carotid bifurcation model here investigated. Two WSS based blood-vessel wall interaction descriptors, the Time Averaged WSS (TAWSS), and the Oscillating Shear Index (OSI) were considered. A specific Lagrangian-based “bulk” blood flow descriptor, the Helical Flow Index (HFI) [2], was calculated in order to get a “measure” of the helical structure in the blood flow. In a first analysis the effects of the coupled 0D models on the 3D model are evaluated. The results obtained from the multiscale simulation are compared with the results of simulations performed using the same 3D model, but imposing a flow rate at internal carotid (ICA) outlet section equal to the maximum (60%) and the minimum (50%) flow division obtained out from ICA in the multiscale model simulation (the presence of the coupled 0D model gives variable internal/external flow division ratio during the cardiac cycle), and a stress free condition on the external carotid (ECA).

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