Relevant bibliographies by topics / Imaging-based cardiovascular fluid-structure interactions

Academic literature on the topic 'Imaging-based cardiovascular fluid-structure interactions'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Imaging-based cardiovascular fluid-structure interactions"

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bin Zakaria, Nazri Huzaimi, Mohd Zamani Ngali, and Ahmad Rivai. "Review on Fluid Structure Interaction Solution Method for Biomechanical Application." Applied Mechanics and Materials 660 (October 2014): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amm.660.927.

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Fluid-Structure Interaction engages with complex geometry especially in biomechanical problem. In order to solve critical case studies such as cardiovascular diseases, we need the structure to be flexible and interact with the surrounding fluids. Thus, to simulate such systems, we have to consider both fluid and structure two-way interactions. An extra attention is needed to develop FSI algorithm in biomechanic problem, namely the algorithm to solve the governing equations, the coupling between the fluid and structural parameter and finally the algorithm for solving the grid connectivity. In this article, we will review essential works that have been done in FSI for biomechanic. Works on Navier–Stokes equations as the basis of the fluid solver and the equation of motion together with the finite element methods for the structure solver are thoroughly discussed. Important issues on the interface between structure and fluid solvers, discretised via Arbitrary Lagrangian–Eulerian grid are also pointed out. The aim is to provide a crystal clear understanding on how to develop an efficient algorithm to solve biomechanical Fluid-Structure Interaction problems in a matrix based programming platform.
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Manzoni, Andrea, and Luca Ponti. "An adjoint-based method for the numerical approximation of shape optimization problems in presence of fluid-structure interaction." ESAIM: Mathematical Modelling and Numerical Analysis 52, no. 4 (July 2018): 1501–32. http://dx.doi.org/10.1051/m2an/2017006.

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In this work, we propose both a theoretical framework and a numerical method to tackle shape optimization problems related with fluid dynamics applications in presence of fluid-structure interactions. We present a general framework relying on the solution to a suitable adjoint problem and the characterization of the shape gradient of the cost functional to be minimized. We show how to derive a system of (first-order) optimality conditions combining several tools from shape analysis and how to exploit them in order to set a numerical iterative procedure to approximate the optimal solution. We also show how to deal efficiently with shape deformations (resulting from both the fluid-structure interaction and the optimization process). As benchmark case, we consider an unsteady Stokes flow in an elastic channel with compliant walls, whose motion under the effect of the flow is described through a linear Koiter shell model. Potential applications are related e.g. to design of cardiovascular prostheses in physiological flows or design of components in aerodynamics.
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Samyn, Margaret M., Ronak Dholakia, Hongfeng Wang, Jennifer Co-Vu, Ke Yan, Michael E. Widlansky, John F. LaDisa, Pippa Simpson, and Ramin Alemzadeh. "Cardiovascular Magnetic Resonance Imaging-Based Computational Fluid Dynamics/Fluid–Structure Interaction Pilot Study to Detect Early Vascular Changes in Pediatric Patients with Type 1 Diabetes." Pediatric Cardiology 36, no. 4 (January 11, 2015): 851–61. http://dx.doi.org/10.1007/s00246-014-1071-7.

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Bracamonte, Johane H., Sarah K. Saunders, John S. Wilson, Uyen T. Truong, and Joao S. Soares. "Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications." Applied Sciences 12, no. 8 (April 14, 2022): 3954. http://dx.doi.org/10.3390/app12083954.

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Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as inputs. Its incorporation into clinical practice has the potential to improve diagnosis and treatment planning with low associated risks and costs. These methods have become available for medical applications mainly due to the continuing development of image-based kinematic techniques, the maturity of the associated theories describing cardiovascular function, and recent progress in computer science, modeling, and simulation engineering. Inverse method applications are multidisciplinary, requiring tailored solutions to the available clinical data, pathology of interest, and available computational resources. Herein, we review biomechanical modeling and simulation principles, methods of solving inverse problems, and techniques for image-based kinematic analysis. In the final section, the major advances in inverse modeling of human cardiovascular mechanics since its early development in the early 2000s are reviewed with emphasis on method-specific descriptions, results, and conclusions. We draw selected studies on healthy and diseased hearts, aortas, and pulmonary arteries achieved through the incorporation of tissue mechanics, hemodynamics, and fluid–structure interaction methods paired with patient-specific data acquired with medical imaging in inverse modeling approaches.
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Abe, Haruhiko, Giuseppe Caracciolo, Arash Kheradvar, Jagat Narula, and Partho P. Sengupta. "DETERMINANTS OF LEFT VENTRICULAR VORTEX RING CIRCULATION IN REMODELED HEARTS: IMPROVED VISUALIZATION OF CARDIAC FLUID-STRUCTURE INTERACTIONS BY ECHO CONTRAST PARTICLE IMAGING VELOCIMETRY." Journal of the American College of Cardiology 57, no. 14 (April 2011): E814. http://dx.doi.org/10.1016/s0735-1097(11)60814-0.

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Fujimoto, Shinichiro, Tomonori Kawasaki, Kanako K. Kumamaru, Yuko Kawaguchi, Tomotaka Dohi, Taichi Okonogi, Keiken Ri, et al. "Diagnostic performance of on-site computed CT-fractional flow reserve based on fluid structure interactions: comparison with invasive fractional flow reserve and instantaneous wave-free ratio." European Heart Journal - Cardiovascular Imaging 20, no. 3 (August 10, 2018): 343–52. http://dx.doi.org/10.1093/ehjci/jey104.

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Tang, Dalin, Chun Yang, Jie Zheng, Pamela K. Woodard, Jeffrey E. Saffitz, Gregorio A. Sicard, Thomas K. Pilgram, and Chun Yuan. "Quantifying Effects of Plaque Structure and Material Properties on Stress Distributions in Human Atherosclerotic Plaques Using 3D FSI Models." Journal of Biomechanical Engineering 127, no. 7 (July 29, 2005): 1185–94. http://dx.doi.org/10.1115/1.2073668.

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Background: Atherosclerotic plaques may rupture without warning and cause acute cardiovascular syndromes such as heart attack and stroke. Methods to assess plaque vulnerability noninvasively and predict possible plaque rupture are urgently needed. Method: MRI-based three-dimensional unsteady models for human atherosclerotic plaques with multi-component plaque structure and fluid-structure interactions are introduced to perform mechanical analysis for human atherosclerotic plaques. Results: Stress variations on critical sites such as a thin cap in the plaque can be 300% higher than that at other normal sites. Large calcification block considerably changes stress/strain distributions. Stiffness variations of plaque components (50% reduction or 100% increase) may affect maximal stress values by 20–50 %. Plaque cap erosion causes almost no change on maximal stress level at the cap, but leads to 50% increase in maximal strain value. Conclusions: Effects caused by atherosclerotic plaque structure, cap thickness and erosion, material properties, and pulsating pressure conditions on stress/strain distributions in the plaque are quantified by extensive computational case studies and parameter evaluations. Computational mechanical analysis has good potential to improve accuracy of plaque vulnerability assessment.
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Karantalis, Vasileios, Wayne Balkan, Ivonne H. Schulman, Konstantinos E. Hatzistergos, and Joshua M. Hare. "Cell-based therapy for prevention and reversal of myocardial remodeling." American Journal of Physiology-Heart and Circulatory Physiology 303, no. 3 (August 1, 2012): H256—H270. http://dx.doi.org/10.1152/ajpheart.00221.2012.

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Although pharmacological and interventional advances have reduced the morbidity and mortality of ischemic heart disease, there is an ongoing need for novel therapeutic strategies that prevent or reverse progressive ventricular remodeling following myocardial infarction, the process that forms the substrate for ventricular failure. The development of cell-based therapy as a strategy to repair or regenerate injured tissue offers extraordinary promise for a powerful anti-remodeling therapy. In this regard, the field of cell therapy has made major advancements in the past decade. Accumulating data from preclinical studies have provided novel insights into stem cell engraftment, differentiation, and interactions with host cellular elements, as well as the effectiveness of various methods of cell delivery and accuracy of diverse imaging modalities to assess therapeutic efficacy. These findings have in turn guided rationally designed translational clinical investigations. Collectively, there is a growing understanding of the parameters that underlie successful cell-based approaches for improving heart structure and function in ischemic and other cardiomyopathies.
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Wang, Jiaqiu, Jessica Benitez Mendieta, Phani Kumari Paritala, Yuqiao Xiang, Owen Christopher Raffel, Tim McGahan, Thomas Lloyd, and Zhiyong Li. "Case Report: Evaluating Biomechanical Risk Factors in Carotid Stenosis by Patient-Specific Fluid-Structural Interaction Biomechanical Analysis." Cerebrovascular Diseases 50, no. 3 (2021): 262–69. http://dx.doi.org/10.1159/000514138.

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<b><i>Background:</i></b> Carotid atherosclerosis is one of the main underlying inducements of stroke, which is a leading cause of disability. The morphological feature and biomechanical environment have been found to play important roles in atherosclerotic plaque progression. However, the biomechanics in each patient’s blood vessel is complicated and unique. <b><i>Method:</i></b> To analyse the biomechanical risk of the patient-specific carotid stenosis, this study used the fluid-structure interaction (FSI) computational biomechanical model. This model coupled both structural and hemodynamic analysis. Two patients with carotid stenosis planned for carotid endarterectomy were included in this study. The 3D models of carotid bifurcation were reconstructed using our in-house-developed protocol based on multisequence magnetic resonance imaging (MRI) data. Patient-specific flow and pressure waveforms were used in the computational analysis. Multiple biomechanical risk factors including structural and hemodynamic stresses were employed in post-processing to assess the plaque vulnerability. <b><i>Results:</i></b> Significant difference in morphological and biomechanical conditions between 2 patients was observed. Patient I had a large lipid core and serve stenosis at carotid bulb. The stenosis changed the cross-sectional shape of the lumen. The blood flow pattern changed consequently and led to a complex biomechanical environment. The FSI results suggested a potential plaque progression may lead to a high-risk plaque, if no proper treatment was performed. The patient II had significant tandem stenosis at both common and internal carotid artery (CCA and ICA). From the results of biomechanical factors, both stenoses had a high potential of plaque progression. Especially for the plaque at ICA branch, the current 2 small plaques might further enlarge and merge as a large vulnerable plaque. The risk of plaque rupture would also increase. <b><i>Conclusions:</i></b> Computational biomechanical analysis is a useful tool to provide the biomechanical risk factors to help clinicians assess and predict the patient-specific plaque vulnerability. The FSI computational model coupling the structural and hemodynamic computational analysis, better replicates the in vivo biomechanical condition, which can provide multiple structural and flow-based risk factors to assess plaque vulnerability.
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Vlasov, Alexey V., Nina L. Maliar, Sergey V. Bazhenov, Evelina I. Nikelshparg, Nadezda A. Brazhe, Anastasiia D. Vlasova, Stepan D. Osipov, et al. "Raman Scattering: From Structural Biology to Medical Applications." Crystals 10, no. 1 (January 15, 2020): 38. http://dx.doi.org/10.3390/cryst10010038.

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This is a review of relevant Raman spectroscopy (RS) techniques and their use in structural biology, biophysics, cells, and tissues imaging towards development of various medical diagnostic tools, drug design, and other medical applications. Classical and contemporary structural studies of different water-soluble and membrane proteins, DNA, RNA, and their interactions and behavior in different systems were analyzed in terms of applicability of RS techniques and their complementarity to other corresponding methods. We show that RS is a powerful method that links the fundamental structural biology and its medical applications in cancer, cardiovascular, neurodegenerative, atherosclerotic, and other diseases. In particular, the key roles of RS in modern technologies of structure-based drug design are the detection and imaging of membrane protein microcrystals with the help of coherent anti-Stokes Raman scattering (CARS), which would help to further the development of protein structural crystallography and would result in a number of novel high-resolution structures of membrane proteins—drug targets; and, structural studies of photoactive membrane proteins (rhodopsins, photoreceptors, etc.) for the development of new optogenetic tools. Physical background and biomedical applications of spontaneous, stimulated, resonant, and surface- and tip-enhanced RS are also discussed. All of these techniques have been extensively developed during recent several decades. A number of interesting applications of CARS, resonant, and surface-enhanced Raman spectroscopy methods are also discussed.
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Dissertations / Theses on the topic "Imaging-based cardiovascular fluid-structure interactions"

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Khalifé, Maya. "Mesure de pression non-invasive par imagerie cardiovasculaire et modélisation unidimensionnelle de l’aorte." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112325/document.

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L'imagerie par Résonance Magnétique permet de mesurer l'écoulement sanguin. Au niveau cardiovasculaire, elle permet d'acquérir non seulement des images anatomiques du cœur et des gros vaisseaux mais aussi des images fonctionnelles de vitesse par contraste de phase. Cette technique offre des perspectives dans l'étude de la dynamique des fluides et dans la caractérisation des artères, en particulier pour les grosses artères systémiques comme l'aorte dont le rôle est primordial dans la circulation sanguine. Par ailleurs, l'un des paramètres qui entrent en jeu dans la détermination de la fonction cardiaque et du comportement vasculaire est la pression artérielle. La méthode de référence de la mesure de pression dans l'aorte étant le cathétérisme, plusieurs méthodes combinant la modélisation à l'imagerie ont été proposées afin d'estimer un gradient de pression de façon non invasive. Ce travail de thèse propose de mesurer la pression dans un segment d'aorte grâce à un modèle 1D simplifié et en utilisant les données mesurées par IRM et un modèle 0D représentant le réseau vasculaire périphérique comme conditions aux limites. Aussi, afin d'adapter le modèle à l'aorte du patient, une loi de pression exprimant une relation entre la section aortique à la pression et basée sur la compliance a été utilisée. Cette dernière, liée à la vitesse d'onde de pouls (VOP), a été mesurée en IRM sur les ondes de vitesse.Par ailleurs, les séquences de codage de vitesse et d'accélération sont longues et ponctuées d'artéfacts dus au mouvement du patient. Une apnée est requise afin de limiter le mouvement respiratoire. Cependant, la durée de l'apnée atteint 25 à 30 secondes pour de telles séquences, ce qui est souvent impossible à tenir pour les malades. Une technique d'optimisation de séquences dynamiques par réduction du champ de vue est proposée et étudiée. La technique décrit un dépliement des régions repliées par différence complexe de deux images, l'une codée et l'autre non codée en vitesse. Cette méthode réalise une réduction de plus de 25% de la durée d'apnée
Magnetic Resonance Imaging (MRI) is used to measure blood flow. It allows assessing not only dynamic images of the heart and the large arteries, but also functional velocity images by means of Phase Contrast. This promising technique is important for studying fluid dynamics and characterizing the arteries, especially the large systemic arteries that play a prominent role in the blood circulation. One of the parameters used for determining the cardiac function and the vascular behavior is the arterial pressure. The reference technique for measuring the aortic pressure is catheterism, but several methods combining imaging and mathematical modeling have been proposed in order to non-invasively estimate a pressure gradient. This work proposes to measure pressure in an aortic segment through a simplified 1D model using MRI measured flow and 0D model representing the peripheral vascular system as boundary conditions. To adapt the model to the aorta of a patient, a pressure law was used forming a relation between the aortic section area and pressure, based on compliance, which is linked to pulse wave velocity (PWV) estimated on MRI measured flow waves.Scan duration was optimized, as it is often a limitation during image acquisition. Velocity and acceleration sequences require a long time and may cause artifacts. Hence, they are acquired during apnea to avoid respiratory motion. However, for such acquisitions, a subject would have to hold their breath for more than 25 seconds which can pose difficulties for some patients. A technique that allows dynamic acquisition time optimization through field of view reduction was proposed and studied. The technique unfolds fold-over regions by complex difference of two images, one of which is motion encoded and the other acquired without an encoding gradient. By implementing this method, we decrease the acquisition time by more than 25%
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Wang, Jiaqiu. "Image-based patient-specific computational biomechanical analysis of the interaction between blood flow and atherosclerosis." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/202017/1/Jiaqiu_Wang_Thesis.pdf.

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This research focuses on the development of a biomechanical strategy for risk assessment of atherosclerotic plaque rupture, which is a leading cause of acute cardiovascular events, such as heart attack and stroke. Image-based three-dimensional coronary and carotid arterial models were developed, and computational biomechanical analysis was performed to evaluate the mechanical interaction between blood flow and atherosclerosis. This study uncovered the biomechanical risk factors that are associated with high-risk atherosclerosis and provided a biomechanical tool for detecting high-risk plaques. It will help with future clinical diagnosis and treatment of cardiovascular diseases.
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Tayllamin, Bruno. "Evaluation d'une méthode de Frontières immergées pour les simulations numériques d'écoulements cardiovasculaires." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20100.

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L'approche la plus courante en Mécanique des Fluides Numérique pour réaliser les simulations d'écoulement cardiovasculaire consiste à utiliser des méthodes numériques Body-fitted. Ces méthodes ont permis d'obtenir des simulations d'écoulement sanguin dans les artères qui sont précises et utiles. Toutefois, la génération du maillage body-fitted est une tâche qui demande beaucoup de temps et d'expertise à l'utilisateur.Les méthodes de Frontières Immergées sont des méthodes numériques alternatives qui ont l'avantage d'être plus simples d'emploi car elles ne requièrent aucune tâche de maillage de la part de l'utilisateur. Le travail présenté ici vise à évaluer le potentiel d'un méthode de Frontières Immergées à réaliser des simulations d'écoulement cardiovasculaire.Ce travail s'attache, dans un premier temps, à décrire les capacités de cette méthode numérique à rendre compte de l'imperméabilité et de la mobilité des parois sur des cas relativement simples mais représentatifs d'écoulements cardiovasculaires. Ensuite, des applications de la méthode à des cas d'écoulement cardiovasculaire plus complexes sont montrées. Il s'agira d'abord d'une simulation de l'écoulement dans un modèle rigide d'artère aorte. Puis, la simulation d'un écoulement à l'intérieur d'un ventricule cardiaque à paroi mobile sera montrée
The most common approach in Computational Fluid Dynamics(CFD) for simulating blood flow into vessel is to make use of a body-fitted me-thod. This approach has lead to accurate and useful simulations of blood flowinto arteries. However, generation of the body-fitted grid is time consuming andrequires from the user an engineering knowledge.The Immersed Boundary Method has emerged as an alternate method whichdoes not require from the user any grid generation task. Simulations are done on astructured Cartesian grid which can be automatically generated. Here we addressthe question of the capability of an Immersed Boundary Method to cope withcardiovascular flow simulations.In particular, we assess the impermeable and moving properties of the wallwhen using the Immersed Boundary Method on simple but relevant vascular flowcases. Then, we show more complex and realistic cardiovascular flow simulations.The first application consists of blood flow simulation inside an aorta cross model.Then, the simulation of blood flow inside a cardiac ventricle with moving wall isshown
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Book chapters on the topic "Imaging-based cardiovascular fluid-structure interactions"

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Funder, John W. "Hormones and receptors: fundamental considerations." In Oxford Textbook of Endocrinology and Diabetes, 24–28. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199235292.003.1022.

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The original endocrine physiologists viewed hormones as responses to homoeostatic challenge, any signal a call to arms; the word is thus derived from the classical Greek ωρμαειν‎—‘to arouse’. In the twenty-first century a hormone is a molecule—small or large, protein or lipid—secreted in a regulated fashion from one organ and acting on another. The definition is firmly based on the anatomy of the seventeenth century, the histology of the nineteenth, and the physiology of the twentieth. It has been shaped by convention and clinical specialization: gut hormones are the marches between endocrinology and gastroenterology, and the adrenal medulla the territory of the cardiovascular physician. It has been refined by concepts of paracrine—where the secretion of one cell type in a tissue acts on another cell type in the same tissue—and autocrine, where a particular cell type both secretes and responds to a particular signal. Inherent in the concepts of paracrine and autocrine are that the signal is not secreted into blood or lymph, to be distributed more or less throughout the body, but is made locally to act locally. A very good example of a signalling system with both paracrine and autocrine activities is the neuronal synapse. Inherent in the concept of the signal is that of a receptor: a signal without a receptor is the sound of one hand clapping. Inherent in the concept of a receptor are two functions: that of being able to discriminate between different signals, and to propagate the signal by activating cell membrane or intracellular signal transduction pathways. Discrimination by a receptor between different circulating potential signals is, in the first instance, a function of the likelihood of a particular signal being able to interact with the receptor, for a period of time sufficient to alter the confirmation of the receptor and thus to trigger propagation. This interaction is commonly referred to as binding, and thus the circulating hormone as a ligand (that which is bound). If the structures of ligand and receptors are such that the initial interaction is followed by formation of strong intermolecular bonds between the two, lessening the possibility of dissociation and the receptor returning to an unliganded state, the receptor is said to have high affinity for the ligand (and vice versa). If the binding is followed by propagation of the ‘appropriate’ signal the ligand is classified as an agonist, or active hormone; if a molecule occupies the binding site on the receptor but does not so alter its structure as to propagate a signal, it is classified as a hormone antagonist (and often, by extension, a receptor antagonist). In the past couple of decades, the concepts of ‘agonist’ and ‘antagonist’ have needed to be refined, as noted subsequently in this chapter.
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Conference papers on the topic "Imaging-based cardiovascular fluid-structure interactions"

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Tang, Dalin, Chun Yang, Jie Zheng, Pamela K. Woodard, Kristen Billiar, Zhongzhao Teng, and Richard Bach. "3D In Vivo IVUS-Based Anisotropic FSI Models With Cyclic Bending for Human Coronary Atherosclerotic Plaque Mechanical Analysis." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-204700.

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Assessing atherosclerotic plaque vulnerability based on limited in vivo patient data has been a major challenge in cardiovascular research and clinical practice. Considerable advances in medical imaging technology have been made in recent years to identify vulnerable atherosclerotic carotid plaques in vivo with information about plaque components including lipid-rich necrotic pools, calcification, intraplaque hemorrhage, loose matrix, thrombosis, and ulcers, subject to resolution limitations of current technology [1]. Image-based computational models have also been developed which combine mechanical analysis with image technology aiming for more accurate assessment of plaque vulnerability and better diagnostic and treatment decisions [2]. However, 3D models with fluid-structure interactions (FSI), cyclic bending and anisotropic properties based on in vivo IVUS images for human coronary atherosclerotic plaques are lacking in the current literature. In this paper, we introduce 3D FSI models based on in vivo IVUS images to perform mechanical analysis for human coronary plaques. Cyclic bending is included to represent deformation caused by cardiac motion. An anisotropic material model was used for the vessel so that the models would be more realistic for more accurate computational flow and stress/strain predictions.
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Yang, Chun, Xueying Huang, Jie Zheng, Pamela K. Woodard, and Dalin Tang. "Quantifying Vessel Material Properties Using MRI Under Pressure Condition and MRI-Based FSI Mechanical Analysis for Human Atherosclerotic Plaques." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13938.

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Atherosclerotic plaques may rupture without warning and cause acute cardiovascular syndromes such as heart attack and stroke. Mechanical image analysis using MRI-based models with fluid-structure interactions (FSI) and MRI-determined material properties may improve the accuracy of plaque vulnerability assessment and rupture predictions. A plaque-phantom was set up to acquire plaque MR images under pressurized conditions. The 3D nonlinear modified Mooney-Rivlin (M-R) model was used to describe the material properties with parameters selected to fit the MRI data. The Navier-Stokes equations were used as the governing equations for the flow model. The fully-coupled FSI models were solved by ADINA. Our results indicate that doubling parameter values in the M-R model led to 12.5% decrease in structure maximum principal stress (Stress-P1) and 48% decrease in maximum principal strain (Strain-P1). Flow maximum shear stress (MSS) was almost unchanged. Results from a modified carotid plaque with 70% stenosis severity (by diameter) showed that Stress-P1 at the plaque throat from the wall-only model is 145% higher than that from the FSI model. MSS from a flow-only model is about 40% higher than that from the FSI model. This approach has the potential to develop non-invasive patient screening and diagnosis methods in clinical applications.
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"Prediction of adverse effects of drug-drug interactions on the cardiovascular system based on the analysis of structure-activity relationships." In Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2022) :. Institute of Cytology and Genetics, the Siberian Branch of the Russian Academy of Sciences, 2022. http://dx.doi.org/10.18699/sbb-2022-203.

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Swillens, Abigail, Liesbeth Taelman, Joris Degroote, Jan Vierendeels, and Patrick Segers. "Assessing the Accuracy of Non-Invasive Measuring Methods of Pulse Wave Velocity: An Analysis Based on Fluid-Structure Interaction Simulations in the Carotid Artery." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80160.

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Pulse wave velocity (PWV) is the propagation speed of pressure and flow waves in the arterial system induced by the contracting left ventricle. PWV is a measure of arterial stiffness, and has been shown to predict cardiovascular events. In a clinical setting, PWV is usually associated with carotid-femoral PWV, reflecting the propagation speed over the aorta. It is, however, also possible to assess local PWV at a given measuring location, which reflects the stiffness of the artery under investigation at that particular location. When locally assessing PWV, single-location techniques are commonly used, which rely on the fact that in uniform elastic tubes, the relationship between a change in pressure (dP) and velocity (dU) is constant in the absence of wave reflections. As such, when plotting the pressure P as a function of the velocity U in an artery, a PU-loop is obtained, where reflection-free instants emerge as a straight line (typically during early systole), with a slope given by ρPWV (ρ = blood density). The original method relied on pressure and velocity data (PU-method), but alternative methods have been introduced based on cross-sectional area (A) and flow (Q) (QA-method), or diameter (D) and velocity (U) (ln(D)U-method).
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Morbiducci, Umberto, Raffaele Ponzini, Matteo Nobili, Diana Massai, Franco M. Montevecchi, Danny Bluestein, and Alberto Redaelli. "Prediction of Shear Induced Platelet Activation in Prosthetic Heart Valves by Integrating Fluid–Structure Interaction Approach and Lagrangian-Based Blood Damage Model." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206162.

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Altered haemodynamics are implicated in the blood cells damage that leads to thromboembolic complications in presence of prosthetic cardiovascular devices, with platelet activation being the underlying mechanism for cardioemboli formation in blood flow past mechanical heart valves (MHVs). Platelet activation can be initiated and maintained by flow patterns arising from blood flowing through the MHV, and can lead to an enhancement in the aggregation of platelets, increasing the risk for thromboemboli formation. Hellums and colleagues compiled numerous experimental results to depict a locus of incipient shear related platelet activation on a shear stress – exposure time plane, commonly used as a standard for platelet activation threshold [1]. However, platelet activation and aggregation is significantly greater under pulsatile or dynamic condition relative to exposure to constant shear stress [2]. Previous studies do not allow to determine the relationship existing between the measured effect — the activation of a platelet, and the cause — the time-varying mechanical loading, and the time of exposure to it as might be expected in vivo when blood flows through the valve. The optimization of the thrombogenic performance of MHVs could be facilitated by formulating a robust numerical methodology with predictive capabilities of flow-induced platelet activation. To achieve this objective, it is essential (i) to quantify the link between realistic valve induced haemodynamics and platelet activation, and (ii) to integrate theoretical, numerical, and experimental approaches that allow for the estimation of the thrombogenic risk associated with a specific geometry and/or working conditions of the implantable device. In this work, a comprehensive analysis of the Lagrangian systolic dynamics of platelet trajectories and their shear histories in the flow through a bileaflet MHV is presented. This study uses information extracted from the numerical simulations performed to resolve the flow field through a realistic model of MHV by means of an experimentally validated fluid-structure interaction approach [3]. The potency of the device to mechanically induce activation/damage of platelets is evaluated using a Lagrangian-based blood damage cumulative model recently identified using in vitro platelet activity measurements [4,5].
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Teng, Zhongzhao, Gador Canton, Chun Yuan, Marina Ferguson, Chun Yang, Xueying Huang, Jie Zheng, Pamela K. Woodard, and Dalin Tang. "Predicting Human Carotid Plaque Site of Rupture Using 3D Critical Plaque Wall Stress and Flow Shear Stress: A 3D Multi-Patient FSI Study Based on In Vivo MRI of Plaques With and Without Prior Rupture." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19080.

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Atherosclerotic plaque rupture is the primary cause of cardiovascular clinical events such as heart attack and stroke. Image-based computational models of vulnerable plaques have been introduced seeking critical mechanical indicators which may be used to identify potential sites of rupture [1–5]. Models derived from 2D ex vivo and in vivo magnetic resonance images (MRI) have shown that 2D local critical stress values rather than global maximum stress values correlated better with plaque vulnerability, as defined by histopathological and morphological analyses [5]. A recent study by Tang et al. [4] using in vivo MRI-based 3D fluid-structure interaction (FSI) models for ruptured human carotid plaques, reported that mean plaque wall stress (PWS) values from ulcer nodes were 86% higher than mean PWS values from all non-ulcer nodes (p<0.0001). This study extends the “critical stress” concept to 3D and uses 3D FSI models based on in vivo MRI data of human atherosclerotic carotid plaques with and without prior rupture to identify 3D critical plaque wall stress (CPWS), critical flow shear stress (CFSS), and to investigate their associations with plaque rupture.
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Schäfer, Friederike, Jacob Sturdy, Mateusz Mesek, Aleksander Sinek, Ryszard Białecki, Ziemowit Ostrowski, Bartłomiej Melka, Marcin Nowak, and Leif Rune Hellevik. "Uncertainty quantification and sensitivity analysis during the development and validation of numerical artery models." In 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp192036.

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Increasing age and cardiovascular diseases lead to stiffening of the vasculature. Knowledge about an individual’s arterial stiffness gives insights into the current state of the cardiovascular system and it is considered to be a valuable diagnostic index. However, arterial stiffness cannot be measured directly. Numerical modelling based on measurements of flow and deformation in an individual’s artery enable an indirect means. Our research aims to develop a method to estimate the local arterial stiffness of an artery from non-invasive measurements through inverse modelling. Experimental measurement limitations and the unmeasurable nature of model input parameters lead to uncertainties in the model prediction. Uncertainty quantification and sensitivity analysis (UQSA) inform about how the model prediction is influenced by these uncertainties. Due to the computational expenses of 3D fluid-structure interaction (FSI) models, we reduced the model’s complexity to a 1D model. To verify the 3D-FSI implementation and validate the 1D implementation we performed simulated inflation tests and compared the results with analytical theory. 3D-FSI simulations were performed and compared to the 1D-model predictions for different simplification assumptions. To quantify the impact of uncertainties in input data, polynomial chaos expansion for UQSA was applied to the 1D-model. This analysis revealed the model input parameters which lead to the highest variability in model prediction. UQSA showed that variations in the Young’s modulus and the lumen radius lead to the largest variability in the 1D-model prediction. Thus, we focused in the validation process on the comparison between the the arterial wall behaviour between the 1D and the 3D-FSI model.
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Sun, Hongwei, Pengtao Wang, Moli Liu, and Jin Xu. "A QCM-Based Lab-on-a-Chip Device for Real Time Characterization of Shear-Induced Platelets Adhesion and Aggregation." In ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icnmm2012-73205.

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The long-term goal of this project is to develop a microfluidic device integrated with a quartz crystal microbalance (QCM) sensor to perform real-time monitoring of platelet adhesion and aggregation under various hemodynamic conditions. This Lab-On-a-Chip device was fabricated with softlithography technique and plasma bonding. The gold sensing surface (electrode) of QCM sensor was embedded in the sensing area of microchannel, in which different fluid solutions were driven through to induce required shear flows for protein interaction study. The time-dependent (transient) frequency shift upon flowing blood samples was monitored to characterize the dynamic process of the platelet adhesion and protein interaction. The interaction between recombinant platelet surface receptor glycoprotein Ibα (GPIbα) and von Willebrand factor (vWF) were investigated under both static and dynamic flow conditions. It was found that the association process is much faster than disassociation process. This device functions as a powerful platform for studying the impact of flow pattern and shear stress on platelet function and GPIbα and vWF interaction, and potentially serves as a prototype for cardiovascular diagnostic purposes.
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Huang, Xueying, Chun Yang, Jie Zheng, Richard Bach, David Muccigrosso, Pamela K. Woodard, and Dalin Tang. "Sudden Death in Coronary Artery Disease are Associated With High 3D Critical Plaque Wall Stress: A 3D Multi-Patient FSI Study Based on Ex Vivo MRI of Coronary Plaques." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14501.

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Atherosclerotic plaque rupture is the primary cause of cardiovascular clinical events such as heart attack and stroke. It is commonly believed that plaque rupture may be linked to critical mechanical conditions. Image-based computational models of vulnerable plaques have been introduced seeking critical mechanical indicators which may be used to identify potential sites of rupture [1–5]. A recent study by Tang et al. [4] using in vivo MRI-based 3D fluid-structure interaction (FSI) models for human carotid plaques with and without rupture reported that higher critical plaque wall stress (CPWS) values were associated with plaques with rupture, compared to those without rupture. However, existing computational plaque models are mostly for carotid plaques based on MRI data. Comparable similar studies for coronary plaques are lacking in the current literature. In this study, 3D computational multi-component models with FSI were constructed to identified 3D critical plaque wall stress, critical flow shear stress (CFSS) based on ex vivo MRI data of coronary plaques acquired from 10 patients. The patients were split into 2 groups: patients died in carotid artery disease (CAD, Group 1, 6 patients) and non CAD (Group 2, 4 patients). The possible link between CPWS and death in CAD was investigated by comparing the CPWS values from the two groups.
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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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