Academic literature on the topic 'Cardiovascular fluid dynamic'

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Journal articles on the topic "Cardiovascular fluid dynamic"

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Felipini, Celso Luiz, Aron José Pazin de Andrade, Júlio César Lucchi, Jeison Willian Gomes da Fonseca, and Denys Nicolosi. "An Electro-Fluid-Dynamic Simulator for the Cardiovascular System." Artificial Organs 32, no. 4 (April 2008): 349–54. http://dx.doi.org/10.1111/j.1525-1594.2008.00553.x.

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Brien, Lori Dugan, Marilyn H. Oermann, Margory Molloy, and Catherine Tierney. "Implementing a Goal-Directed Therapy Protocol for Fluid Resuscitation in the Cardiovascular Intensive Care Unit." AACN Advanced Critical Care 31, no. 4 (December 15, 2020): 364–70. http://dx.doi.org/10.4037/aacnacc2020582.

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Background Balancing fluid administration and titration of vasoactive medications is critical to preventing postoperative complications in cardiac surgical patients. Objective To evaluate the impact of implementing a goal-directed therapy protocol in the cardiovascular intensive care unit on total intravenous fluids administered on the day of surgery, rates of acute kidney injury, and hospital length of stay. Methods A fluid resuscitation protocol using dynamic assessment of fluid responsiveness with stroke volume index was developed, and nurses were prepared for its implementation using simulation training. Results After implementation of the new protocol, the total amount of intravenous fluids administered on the day of surgery was significantly reduced (P = .003). There were no significant changes in hospital length of stay (P = .83) or rates of acute kidney injury (P = .86). There were significant increases in nurses’ knowledge of (P < .001) and confidence in (P < .001) fluid resuscitation and titration of vasoactive medications after simulation training. Conclusions Use of a fluid resuscitation protocol resulted in a reduction in the amount of intravenous fluids administered on the day of surgery. The simulation training increased nurses’ knowledge of and confidence in fluid resuscitation and titration of vasoactive medications.
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Benes, Jan, Mikhail Kirov, Vsevolod Kuzkov, Mitja Lainscak, Zsolt Molnar, Gorazd Voga, and Xavier Monnet. "Fluid Therapy: Double-Edged Sword during Critical Care?" BioMed Research International 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/729075.

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Fluid therapy is still the mainstay of acute care in patients with shock or cardiovascular compromise. However, our understanding of the critically ill pathophysiology has evolved significantly in recent years. The revelation of the glycocalyx layer and subsequent research has redefined the basics of fluids behavior in the circulation. Using less invasive hemodynamic monitoring tools enables us to assess the cardiovascular function in a dynamic perspective. This allows pinpointing even distinct changes induced by treatment, by postural changes, or by interorgan interactions in real time and enables individualized patient management. Regarding fluids as drugs of any other kind led to the need for precise indication, way of administration, and also assessment of side effects. We possess now the evidence that patient centered outcomes may be altered when incorrect time, dose, or type of fluids are administered. In this review, three major features of fluid therapy are discussed: the prediction of fluid responsiveness, potential harms induced by overzealous fluid administration, and finally the problem of protocol-led treatments and their timing.
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Baker, R. Scott, Christopher T. Lam, Emily A. Heeb, and Pirooz Eghtesady. "Dynamic fluid shifts induced by fetal bypass." Journal of Thoracic and Cardiovascular Surgery 137, no. 3 (March 2009): 714–22. http://dx.doi.org/10.1016/j.jtcvs.2008.09.023.

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Slack, Steven M., and Vincent T. Turitto. "Chapter 2 Fluid dynamic and hemorheologic considerations." Cardiovascular Pathology 2, no. 3 (July 1993): 11–21. http://dx.doi.org/10.1016/1054-8807(93)90043-2.

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Ravi, Chandni, and Daniel W. Johnson. "Optimizing Fluid Resuscitation and Preventing Fluid Overload in Patients with Septic Shock." Seminars in Respiratory and Critical Care Medicine 42, no. 05 (September 20, 2021): 698–705. http://dx.doi.org/10.1055/s-0041-1733898.

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AbstractIntravenous fluid administration remains an important component in the care of patients with septic shock. A common error in the treatment of septic shock is the use of excessive fluid in an effort to overcome both hypovolemia and vasoplegia. While fluids are necessary to help correct the intravascular depletion, vasopressors should be concomitantly administered to address vasoplegia. Excessive fluid administration is associated with worse outcomes in septic shock, so great care should be taken when deciding how much fluid to give these vulnerable patients. Simple or strict “recipes” which mandate an exact amount of fluid to administer, even when weight based, are not associated with better outcomes and therefore should be avoided. Determining the correct amount of fluid requires the clinician to repeatedly assess and consider multiple variables, including the fluid deficit, organ dysfunction, tolerance of additional fluid, and overall trajectory of the shock state. Dynamic indices, often involving the interaction between the cardiovascular and respiratory systems, appear to be superior to traditional static indices such as central venous pressure for assessing fluid responsiveness. Point-of-care ultrasound offers the bedside clinician a multitude of applications which are useful in determining fluid administration in septic shock. In summary, prevention of fluid overload in septic shock patients is extremely important, and requires the careful attention of the entire critical care team.
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Mazzoni, M. C., P. Borgstrom, K. E. Arfors, and M. Intaglietta. "Dynamic fluid redistribution in hyperosmotic resuscitation of hypovolemic hemorrhage." American Journal of Physiology-Heart and Circulatory Physiology 255, no. 3 (September 1, 1988): H629—H637. http://dx.doi.org/10.1152/ajpheart.1988.255.3.h629.

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A mathematical description of blood volume restoration after hemorrhage with resuscitative fluids, particularly hyperosmotic solutions, is presented. It is based on irreversible thermodynamic transport equations and known physiological data. The model shows that after a 20% hemorrhage, the rapid addition of a hypertonic (7.5% NaCl)-hyperoncotic (6% Dextran 70) solution amounting to one-seventh of the shed blood volume reestablishes blood volume within 1 min. Measurements of systemic hematocrit, hemoglobin concentration, and plasma osmolality taken from 13 experiments on anesthetized rabbits verify this prediction. The model shows that immediately after hyperosmotic infusion, water shifts into the plasma first from red blood cells and endothelium and then from the interstitium and tissue cells. The increase in blood volume is transitory; however, it occurs in a fraction of the time compared with isoosmotic fluids at the same infusion rate and is partially sustained by Dextran 70. We theorize that the concurrent hemodilution and endothelial cell shrinkage during hyperosmotic infusion lead to a decreased capillary hydraulic resistance, an effect that is even more significant in capillaries with swollen endothelium. Our results support the significant role of an osmotic mechanism during hyperosmotic resuscitation in quickly restoring blood volume with the added benefit of improved tissue perfusion.
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Mazzoni, M. C., P. Borgstrom, K.-E. Afors, and M. Intaglietta. "Dynamic fluid redistribution in hyperosmotic resuscitation of hypovolemic hemorrhage." Resuscitation 18, no. 1 (October 1989): 112–13. http://dx.doi.org/10.1016/0300-9572(89)90123-8.

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Stühle, Sebastian, Daniel Wendt, Guojun Hou, Hermann Wendt, Matthias Thielmann, Heinz Jakob, and Wojciech Kowalczyk. "Fluid Dynamic Investigation of the ATS 3F Enable Sutureless Heart Valve." Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery 6, no. 1 (January 2011): 37–44. http://dx.doi.org/10.1097/imi.0b013e31820c0f0c.

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Objective Currently, sutureless heart valves (SHV) reveal good clinical results during aortic valve replacement. The aim of this study was to evaluate the fluid dynamics of the ATS 3F Enable SHV in the ascending aorta and their influence on the aortic wall in an in vitro setup. Methods A two-dimensional particle image velocimetry study with an image rate of 15 Hz was conducted to evaluate the fluid dynamics of the SHV in the aortic flow field. The prosthesis (diameter, 23 mm) was placed inside a silicone mock aorta under pulsatile flow conditions. Velocities, vorticity, and strain rate were obtained and calculated with a fixed frequency (70 Hz) at constant stroke volume (70 mL). Results 3F Enable showed a jet flow type profile with a maximum velocity of 1.01 ± 0.13 m/s during peak flow phase (PFP). The jet flow was surrounded by ambilateral vortices with a slightly higher percentage of clockwise than counterclockwise vorticity (377 ± 57/s vs 389 ± 76/s), strain rate (370 ± 79/s for elongation vs — 370 ± 102/s for contraction) was nearly similar. The point-of-interest analysis revealed a higher velocity for bottom compared with upper aortic wall (0.28 ± 0.07 m/s vs 0.31 ± 0.06 m/s, P = 0.024). All values were lower during acceleration and deceleration phase compared with PFP. Conclusions The peak flow of the 3F Enable SHV seems to be little higher compared with native aortic valves, thus simulating nearly physiologic conditions. Vorticity and strain rate are high during PFP and low during other phases and might have an influence on the aortic wall as well.
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Pinsky, M. R., P. Brophy, J. Padilla, E. Paganini, and N. Pannu. "Fluid and Volume Monitoring." International Journal of Artificial Organs 31, no. 2 (February 2008): 111–26. http://dx.doi.org/10.1177/039139880803100205.

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Background Fluid resuscitation is not only used to prevent acute kidney injury (AKI) but fluid management is also a cornerstone of treatment for patients with established AKI and renal failure. Ultrafiltration removes volume initially from the intravascular compartment inducing a relative degree of hypovolemia. Normal reflex mechanisms attempt to sustain blood pressure constant despite marked changes in blood volume and cardiac output. Thus, compensated shock with a normal blood pressure is a major cause of AKI or exacerbations of AKI during ultrafiltration. Methods We undertook a systematic review of the literature using MEDLINE, Google Scholar and PubMed searches. We determined a list of key questions and convened a 2-day consensus conference to develop summary statements via a series of alternating breakout and plenary sessions. In these sessions, we identified supporting evidence and generated clinical practice recommendations and/or directions for future research. Results We defined three aspects of fluid monitoring: i) normal and pathophysiological cardiovascular mechanisms; ii) measures of volume responsiveness and impending cardiovascular collapse during volume removal, and; iii) measured indices of each using non-invasive and minimally invasive continuous and intermittent monitoring techniques. The evidence documents that AKI can occur in the setting of normotensive hypovolemia and that under-resuscitation represents a major cause of both AKI and mortality ion critically ill patients. Traditional measures of intravascular volume and ventricular filling do not predict volume responsiveness whereas dynamic functional hemodynamic markers, such as pulse pressure or stroke volume variation during positive pressure breathing or mean flow changes with passive leg raising are highly predictive of volume responsiveness. Numerous commercially-available devices exist that can acquire these signals. Conclusions Prospective clinical trials using functional hemodynamic markers in the diagnosis and management of AKI and volume status during ultrafiltration need to be performed. More traditional measure of preload be abandoned as marked of volume responsiveness though still useful to assess overall volume status.
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Dissertations / Theses on the topic "Cardiovascular fluid dynamic"

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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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Soudah, Prieto Eduardo. "Computational fluid dynamics indicators to improve cardiovascular pathologies." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/392613.

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In recent years, the study of computational hemodynamics within anatomically complex vascular regions has generated great interest among clinicians. The progress in computational fluid dynamics, image processing and high-performance computing haveallowed us to identify the candidate vascular regions for the appearance of cardiovascular diseases and to predict how this disease may evolve. Medicine currently uses a paradigm called diagnosis. In this thesis we attempt to introduce into medicine the predictive paradigm that has been used in engineering for many years. The objective of this thesis is therefore to develop predictive models based on diagnostic indicators for cardiovascular pathologies. We try to predict the evolution of aortic abdominal aneurysm, aortic coarctation and coronary artery disease in a personalized way for each patient. To understand how the cardiovascular pathology will evolve and when it will become a health risk, it is necessary to develop new technologies by merging medical imaging and computational science. We propose diagnostic indicators that can improve the diagnosis and predict the evolution of the disease more efficiently than the methods used until now. In particular, a new methodology for computing diagnostic indicators based on computational hemodynamics and medical imaging is proposed. We have worked with data of anonymous patients to create real predictive technology that will allow us to continue advancing in personalized medicine and generate more sustainable health systems. However, our final aim is to achieve an impact at a clinical level. Several groups have tried to create predictive models for cardiovascular pathologies, but they have not yet begun to use them in clinical practice. Our objective is to go further and obtain predictive variables to be used practically in the clinical field. It is to be hoped that in the future extremely precise databases of all of our anatomy and physiology will be available to doctors. These data can be used for predictive models to improve diagnosis or to improve therapies or personalized treatments.
En els últims anys, l'estudi de l'hemodinàmica computacional en regions vasculars anatòmicament complexes ha generat un gran interès entre els clínics. El progrés obtingut en la dinàmica de fluids computacional, en el processament d'imatges i en la computació d'alt rendiment ha permès identificar regions vasculars on poden aparèixer malalties cardiovasculars, així com predir-ne l'evolució. Actualment, la medicina utilitza un paradigma anomenat diagnòstic. En aquesta tesi s'intenta introduir en la medicina el paradigma predictiu utilitzat des de fa molts anys en l'enginyeria. Per tant, aquesta tesi té com a objectiu desenvolupar models predictius basats en indicadors de diagnòstic de patologies cardiovasculars. Tractem de predir l'evolució de l'aneurisma d'aorta abdominal, la coartació aòrtica i la malaltia coronària de forma personalitzada per a cada pacient. Per entendre com la patologia cardiovascular evolucionarà i quan suposarà un risc per a la salut, cal desenvolupar noves tecnologies mitjançant la combinació de les imatges mèdiques i la ciència computacional. Proposem uns indicadors que poden millorar el diagnòstic i predir l'evolució de la malaltia de manera més eficient que els mètodes utilitzats fins ara. En particular, es proposa una nova metodologia per al càlcul dels indicadors de diagnòstic basada en l'hemodinàmica computacional i les imatges mèdiques. Hem treballat amb dades de pacients anònims per crear una tecnologia predictiva real que ens permetrà seguir avançant en la medicina personalitzada i generar sistemes de salut més sostenibles. Però el nostre objectiu final és aconseguir un impacte en l¿àmbit clínic. Diversos grups han tractat de crear models predictius per a les patologies cardiovasculars, però encara no han començat a utilitzar-les en la pràctica clínica. El nostre objectiu és anar més enllà i obtenir variables predictives que es puguin utilitzar de forma pràctica en el camp clínic. Es pot preveure que en el futur tots els metges disposaran de bases de dades molt precises de tota la nostra anatomia i fisiologia. Aquestes dades es poden utilitzar en els models predictius per millorar el diagnòstic o per millorar teràpies o tractaments personalitzats.
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Toninato, Riccardo. "Development of a Laboratory for Cardiovascular Fluid Dynamics Studies." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424325.

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This PhD thesis described the realization and development of a new experimental laboratory for cardiovascular studies. Three years later, the Healing Research Laboratory (HeR Lab) is an approved reality, located within the ICEA Dept. of the University of Padua. The present paper explores the different aspects that have been involved on its development, and the principal research fields that have been touched along the doctorate program. It is subdivided in four parts: a first overview of the aortic district linked to the insertion of prosthetic devices, from physiological and engineering points of views. After this, the experimental activities are widely discussed. The experimental research was focused on the design, realization, trial-tests and first optimization of a mechanical-hydraulic closed circuit (called pulse duplicator), for the study of fluid dynamics in the systemic circulation after the implantation of prosthetic devices. Innovative feature of the workbench is the presence of a compliant silicone phantom replica of a healthy aorta, that permits investigations of mechanics and flow dynamics characteristics of the district via an experimental approach. A third section is depicted to external experimental projects, developed within the division of Cardiac Surgery, dept. of cardiac, thoracic and vascular sciences, University of Padua Medical School, to investigate the haemodynamic performances of a total artificial heart (CardioWest TAH-t); and within the UCL Cardiovascular Engineering Laboratory (University College London, UK), to perform in vitro assessment of prosthetic cardiovascular devices performances (biological aortic valves). The last part focuses on a numerical study based on the design of a 2D mechanical model for a red blood cell, and the computation of deformation-damage effects on the shield, due to the shear stresses induced downstream of mechanical aortic valves. The possibility to made up an experimental laboratory, and the development of a new-born research group, give the chance to obtain strong expertise along these three years in the R&D field, giving the possibility to actually touch all the different faces of the research, from the funding recruitment to the physical workbench realization or prototype testing.
Nella presente tesi di Dottorato è descritta la realizzazione e lo sviluppo di un nuovo laboratorio sperimentale per studi di fluidodinamica cardiovascolare. Il laboratorio, denominato Healing Research Laboratory (HeR Lab), a tre anni dalla sua creazione, è una realtà di Dipartimento consolidata; presente nel dip. ICEA dell’Università degli Studi di Padova. Nel proseguo dell’elaborato vengono indagati gli aspetti che hanno partecipato allo sviluppo del laboratorio, ed i principali campi di ricerca che sono stati toccati lungo il percorso di dottorato. La tesi è strutturata in quattro parti principali: la prima fornisce una panoramica del distretto aortico, in relazione all’inserimento di device protesici, sia dal punto di vista fisiologico che ingegneristico. La seconda parte è incentrata nella descrizione approfondita della ricerca sperimentale. Si focalizza nella progettazione, realizzazione e messa punto di un circuito meccanico-idraulico (chiamato pulse duplicator), per lo studio della fluido dinamica nella circolazione sistemica, a seguito dell’impianto di dispositivi protesici. Parte innovativa è costituta dalla presenza di un prototipo siliconico compliante di radice aortica ottenuta da CT-scan di paziente, per lo studio delle caratteristiche meccaniche del vaso e dei campi fluidodinamici locali. La terza sezione è costituita da progetti sperimentali sviluppati in strutture esterne all’HeR Lab. Il primo presso la Cardiochirurgia, dipartimento di Scienze Cardiache, Toraciche e Vascolari della Università degli Studi di Padova, allo scopo di investigare le performance emodinamiche di un cuore artificiale totale (CardioWest TAH-t); la seconda come membro dell’UCL Cardiovascular Engineering Laboratory (University College London), con l’obiettivo di indagare le performance di valvole aortiche biologiche per via sperimentale. La quarta sezione descrive uno studio numerico basato sul design di un modello meccanico 2D del globulo rosso, e sul calcolo di deformazioni e danni subiti dalla membrana, dovuti agli sforzi tangenziali indotti dal flusso effluente da valvole aortiche meccaniche. Lo sviluppo del laboratorio e del nuovo gruppo di ricerca cardiovascolare ha permesso di incamerare ottime competenze nell’ambito della ricerca e progettazione, dando la possibilità di toccare diversi aspetti dello sviluppo, dalla ricerca fondi alla realizzazione fisica di prototipi o banchi sperimentali.
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Ebbers, Tino. "Cardiovascular fluid dynamics : methods for flow and pressure field analysis from magnetic resonance imaging /." Linköping : Univ, 2001. http://www.bibl.liu.se/liupubl/disp/disp2001/tek690s.pdf.

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Mumpower, Edward Lee. "Effect of disc angulation on the fluid dynamics of a tilting disc mitral valve prosthesis." Thesis, Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/32827.

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Healy, Timothy M. "Multi-block and overset-block domain decomposition techniques for cardiovascular flow simulation." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/15622.

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Fan, Yi, and 樊怡. "The applications of computational fluid dynamics to the cardiovascularsystem and the respiratory system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47753195.

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The diseases of cardiovascular system and the respiratory system have been the second and third killers causing deaths in Hong Kong. In this stressful civilized world, the prevalence and incidence of these diseases increased prominently which arouse our concern on the theories behind the pathological conditions. This report will focus on the biofluid mechanics in the large artery and in the upper airway. Thoracic aortic dissection, characterized by the tearing in the middle layer of vessel wall, is a catastrophic vascular disorder. The wall of the newly formed channel, the false lumen, is weakened and prone to aortic events. Endovascular repair is a minimally invasive technique for treating dissection patients. The biomechanical factors and the length of endograft were studied by computational fluid dynamics. Two geometrical factors showed a significant impact on the backflow in the false lumen. A larger false lumen and a larger distal tear size greatly affected the extent of thrombosis in the false lumen. It made the false lumen under a higher risk of vessel rupture. The computational prediction also demonstrated a more stable hemodynamic condition in the model with a longer endograft. These results provide important information for the clinicians to propose the surgical procedures and to improve the design of endografts. Airway obstruction is a common breathing disorder but it is always underdiagnosed. Obstructive sleep apnea (OSA) and different dentofacial deformities are two pathological conditions in which the patients have the abnormal sizes of airways. Computational fluid dynamic was employed in both conditions with patient–specific models. In the part of OSA, pre– and post–operative models were studied. The dimensions and flow resistance of the upper airway showed a significant improvement after mandibular distraction. The percentage of stenosis and the flow resistance was reduced by 27.3% and 40.7% respectively. For the patients in three facial skeletal deformity groups, the cross–sectional area and the flow resistance were compared. The patients with Class II deformity had the smallest retroglossal and retroplatal dimensions as well as the greatest flow resistance. The results confirmed the effectiveness of mandibular distraction and also provide valuable implications for the clinicians on the treatment planning, particularly for the Class II subjects.
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Mechanical Engineering
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Master of Philosophy
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Khare, Aditi. "Estimation and control of the pump pressure rise and flow from intrinsic parameters for a magnetically-levitated axial blood pump /." Online version of thesis, 2008. http://hdl.handle.net/1850/7988.

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Randles, Amanda Elizabeth. "Modeling cardiovascular hemodynamics using the lattice Boltzmann method on massively parallel supercomputers." Thesis, Harvard University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3567037.

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Accurate and reliable modeling of cardiovascular hemodynamics has the potential to improve understanding of the localization and progression of heart diseases, which are currently the most common cause of death in Western countries. However, building a detailed, realistic model of human blood flow is a formidable mathematical and computational challenge. The simulation must combine the motion of the fluid, the intricate geometry of the blood vessels, continual changes in flow and pressure driven by the heartbeat, and the behavior of suspended bodies such as red blood cells. Such simulations can provide insight into factors like endothelial shear stress that act as triggers for the complex biomechanical events that can lead to atherosclerotic pathologies. Currently, it is not possible to measure endothelial shear stress in vivo, making these simulations a crucial component to understanding and potentially predicting the progression of cardiovascular disease. In this thesis, an approach for efficiently modeling the fluid movement coupled to the cell dynamics in real-patient geometries while accounting for the additional force from the expansion and contraction of the heart will be presented and examined.

First, a novel method to couple a mesoscopic lattice Boltzmann fluid model to the microscopic molecular dynamics model of cell movement is elucidated. A treatment of red blood cells as extended structures, a method to handle highly irregular geometries through topology driven graph partitioning, and an efficient molecular dynamics load balancing scheme are introduced. These result in a large-scale simulation of the cardiovascular system, with a realistic description of the complex human arterial geometry, from centimeters down to the spatial resolution of red-blood cells. The computational methods developed to enable scaling of the application to 294,912 processors are discussed, thus empowering the simulation of a full heartbeat.

Second, further extensions to enable the modeling of fluids in vessels with smaller diameters and a method for introducing the deformational forces exerted on the arterial flows from the movement of the heart by borrowing concepts from cosmodynamics are presented. These additional forces have a great impact on the endothelial shear stress. Third, the fluid model is extended to not only recover Navier-Stokes hydrodynamics, but also a wider range of Knudsen numbers, which is especially important in micro- and nano-scale flows. The tradeoffs of many optimizations methods such as the use of deep halo level ghost cells that, alongside hybrid programming models, reduce the impact of such higher-order models and enable efficient modeling of extreme regimes of computational fluid dynamics are discussed. Fourth, the extension of these models to other research questions like clogging in microfluidic devices and determining the severity of co-arctation of the aorta is presented. Through this work, a validation of these methods by taking real patient data and the measured pressure value before the narrowing of the aorta and predicting the pressure drop across the co-arctation is shown. Comparison with the measured pressure drop in vivo highlights the accuracy and potential impact of such patient specific simulations.

Finally, a method to enable the simulation of longer trajectories in time by discretizing both spatially and temporally is presented. In this method, a serial coarse iterator is used to initialize data at discrete time steps for a fine model that runs in parallel. This coarse solver is based on a larger time step and typically a coarser discretization in space. Iterative refinement enables the compute-intensive fine iterator to be modeled with temporal parallelization. The algorithm consists of a series of prediction-corrector iterations completing when the results have converged within a certain tolerance. Combined, these developments allow large fluid models to be simulated for longer time durations than previously possible.

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Ebrahimi, Pegah. "Patient-specific design of the right ventricle to pulmonary artery conduit via computational analysis." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20381.

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Cardiovascular prostheses are routinely used in surgical procedures to address congenital malformations, for example establishing a pathway from the right ventricle to the pulmonary arteries (RV-PA) in pulmonary atresia and truncus arteriosus. Currently available options are fixed size and have limited durability. Hence, multiple re-operations are required to match the patients’ growth and address structural deterioration of the conduit. Moreover, the pre-set shape of these implants increases the complexity of operation to accommodate patient specific anatomy. The goal of the research group is to address these limitations by 3D printing geometrically customised implants with growth capacity. In this study, patient-specific geometrical models of the heart were constructed by segmenting MRI data of patients using Mimics inPrint 2.0. Computational Fluid Dynamics (CFD) analysis was performed, using ANSYS CFX, to design customised geometries with better haemodynamic performance. CFD simulations showed that customisation of a replacement RV-PA conduit can improve its performance. For instance, mechanical energy dissipation and wall shear stress can be significantly reduced. Finite Element modelling also allowed prediction of the suitable thickness of a synthetic material to replicate the behaviour of pulmonary artery wall under arterial pressures. Hence, eliminating costly and time-consuming experiments based on trial-and-error. In conclusion, it is shown that patient-specific design is feasible, and these designs are likely to improve the flow dynamics of the RV-PA connection. Modelling also provides information for optimisation of biomaterial. In time, 3D printing a customised implant may simplify replacement procedures and potentially reduce the number of operations required over a life time, bringing substantial improvements in quality of life to the patients
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Books on the topic "Cardiovascular fluid dynamic"

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P, Verdonck, and Perktold K, eds. Intra and extracorporeal cardiovascular fluid dynamics. Southampton: Computational Mechanics Publications, 1998.

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B, Martonen T., ed. Medical applications of computer modelling: Cardiovascular and ocular systems. Southhampton, UK: WIT Press, 2000.

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B, Martonen T., ed. Medical applications of computer modelling and fluid dynamics [v.2.]: Respiratory system. Southampton, UK: WIT Press, 2000.

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B, Martonen T., ed. Medical applications of computer modelling: Respiratory system. Southampton: WIT Press, 2001.

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Thiriet, Marc. Tissue Functioning and Remodeling in the Circulatory and Ventilatory Systems. New York, NY: Springer New York, 2013.

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1947-, Rittgers Stanley E., and Yoganathan A. P. 1951-, eds. Biofluid mechanics: The human circulation. Boca Raton: CRC/Taylor & Francis, 2007.

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Dinnar, Uri. Cardiovascular Fluid Dynamics. Taylor & Francis Group, 2019.

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Dinnar, Uri. Cardiovascular Fluid Dynamics. CRC Press, 2019. http://dx.doi.org/10.1201/9780429284861.

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Dinnar, Uri. Cardiovascular Fluid Dynamics. Taylor & Francis Group, 2019.

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Dinnar, Uri. Cardiovascular Fluid Dynamics. Taylor & Francis Group, 2021.

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Book chapters on the topic "Cardiovascular fluid dynamic"

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Splinter, Robert, and Christian G. Parigger. "Fluid-Dynamic Phenomena in Cardiovascular Ablation with Laser Irradiation." In Lasers in Cardiovascular Interventions, 15–30. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5220-0_2.

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Ohashi, Tsuyoshi, Hao Liu, and Takami Yamaguchi. "Computational Fluid Dynamic Simulation of the Flow through Venous Valve." In Clinical Application of Computational Mechanics to the Cardiovascular System, 186–89. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-67921-9_18.

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Pedley, Timothy J. "Arterial and Venous Fluid Dynamics." In Cardiovascular Fluid Mechanics, 1–72. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-2542-7_1.

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Slack, Steven M., Winnie Cui, and Vincent T. Turitto. "Fluid Dynamics and Thrombosis." In Advances in Cardiovascular Engineering, 91–102. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-4421-7_6.

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Barsotti, Antonio, and Frank Lloyd Dini. "From Left Ventricular Dynamics to the Pathophysiology of the Failing Heart." In Cardiovascular Fluid Mechanics, 235–47. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-2542-7_5.

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Yamaguchi, Takami, Tomoaki Hayasaka, Daisuke Mori, Hiroyuki Hayashi, Kouichiro Yano, Fumio Mizuno, and Makoto Harazawa. "Towards Computational Biomechanics Based Cardiovascular Medical Practice." In Computational Fluid Dynamics 2002, 46–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_4.

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May-Newman, Karen. "Computational Fluid Dynamics Models of Ventricular Assist Devices." In Computational Cardiovascular Mechanics, 297–316. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0730-1_18.

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Pedrizzetti, Gianni. "Cardiac Mechanics I: Fluid Dynamics in the Cardiac Chambers." In Fluid Mechanics for Cardiovascular Engineering, 189–209. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85943-5_12.

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Kori, M. I., K. Osman, A. Z. M. Khudzari, and I. Taib. "Computational Fluid Dynamics Application in Reducing Complications of Patent Ductus Arteriosus Stenting." In Cardiovascular Engineering, 201–18. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-8405-8_9.

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Kang, Z. H. "Fluid Mechanics in Cardiovascular Research Cardiac Valve Flow Dynamics." In Biomechanics: Basic and Applied Research, 85–98. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3355-2_7.

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Conference papers on the topic "Cardiovascular fluid dynamic"

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Yu, Hongyu, Lisong Ai, Mahsa Rouhanizadeh, Ryan Hamilton, Juliana Hwang, Ellis Meng, Eun Sok Kim, and Tzung K. Hsiai. "Polymer-Based Cardiovascular Shear Stress Sensors." In ASME 2007 2nd Frontiers in Biomedical Devices Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/biomed2007-38089.

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This paper describes a polymer-based cardiovascular shear stress sensor built on catheter for atherosis diagnosis. This flexible sensor detects small temperature perturbation as fluid past the sensing elements leading to changes in the resistance, from which shear stress is inferred. MicroElectroMechanical System (MEMS) surface manufacture technology is utilized for fabrication of the devices with biocompatible materials, such as parylene C, Titanium (Ti) and Platinum (Pt). The temperature coefficient of resistance (TCR) of the sensor is 0.11%/°C. When a catheter-based sensor is positioned near the wall of the rabbit aorta, our 3-D computational fluid dynamic model demonstrates that flow disturbance is negligible under steady state in a straight segment. The sensor has been packaged with a catheter and will be deployed into the aorta of NZW rabbits for realtime shear stress measurement.
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Morlacchi, Stefano, Claudio Chiastra, Gabriele Dubini, and Francesco Migliavacca. "Numerical Modelling of Stenting Procedures in Coronary Bifurcations: A Structural and Fluid Dynamic Combined Approach." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53410.

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Stenting procedures give the opportunity to treat cardiovascular diseases with a time saving, cost effective and minimally invasive procedure if compared to coronary artery by-pass, ensuring at the same time better clinical results than balloon angioplasty. Despite their success, stenting procedures are still associated to some clinical problems like sub-acute thrombosis (ST) and in-stent restenosis (ISR) whose main outcome is the re-narrowing of the coronary vessels and the necessity of a new treatment to restore blood flow and perfusion to downstream tissues. Their mechanisms and causes are still not fully understood but clinical and biological studies agree the idea that these are caused by a combination of both structural and hemodynamic factors [1,2].
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Abohtyra, Rammah M., and Y. Chait. "New Algorithm to Design Real Time Optimal and Robust Ultrafiltration Rates in Chronic Kidney Disease to Prevent Cardiovascular Morbidity and Mortality." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9172.

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Hemodialysis (HD) is a necessary treatment for end-stage kidney disease (ESKD) patients in order to prevent cardiovascular morbidity and mortality that may be related to the hemodynamic effects of rapid ultrafiltration. Despite significant advances in HD technology, only half of ESKD patients treated with HD survive more than 3 years. Fluid management remains one of the most challenging aspects of HD care, with serious implications for morbidity and mortality. In this paper, we develop a novel algorithm to design real time optimal, robust ultrafiltration rates based on actual HD data to identifying the parameters of a fluid volume model of an individual patient during HD. Our design achieves, if exists, an optimal ultrafiltration profile for the identified nominal model under maximum ultrafiltration and hematocrit constraints and guarantees that these constraints are satisfied over a pre-defined set of parameter uncertainty. We demonstrate the robust performance of our algorithm through a combination of clinical data and simulations.
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Jo-Avila, Miguel, Ahmed Al-Jumaily, and Jun Lu. "Predictive Cardiovascular Model With Blood Flow Measurements." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51993.

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Cardiovascular disease is one of the leading causes of death in the world, accounting for 30% of all deaths worldwide and 40% of those occurring in New Zealand. In recent years, engineers and scientists have collaborated with the medical community to find new methodologies and approaches for assessing, investigating and understanding the development of cardiovascular diseases. Elements such as computational models developed with fluid dynamic elements (CFD/FE) have become excellent tools for this purpose. One of the important approaches is developing devices for investigating the central blood flow and pressure, and correlating the results to different heart diseases. Higher-valued changes in central blood flow and pressure mean that the heart must work harder. A computational model capable of predicting inlet and outlet locations of a blockage would be helpful to determine different stages of cardiovascular disease. By using reflection signals from the central blood flow that are detected at locations such as the brachial artery or subclavian artery, it is possible to model the effect of flow and pressure differences on heart diseases.
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Hewlin, Rodward L., and John P. Kizito. "Comparison of Carotid Bifurcation Hemodynamics in Patient-Specific Geometries at Rest and During Exercise." In ASME 2013 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fedsm2013-16248.

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The ultimate goal of the present study is to determine whether investigations of flow patterns (flow reversal and flow branching) and mechanical factors (wall shear stress and normal stress) have a role in local risk factors and if flow modeling can truly rely on surrogate geometric sites (simplified geometries). Cardiovascular disease is considered to be the leading cause of morbidity and mortality across the world and improved methods of disease management are desperately needed. One of the main forms of cardiovascular disease is atherosclerosis. The presence of atherosclerotic plaques has been shown to be closely related to arterial vessel geometry and hemodynamic flow patterns. Computational fluid dynamic simulations were performed on 3 carotid bifurcation arteries to demonstrate that hemodynamic factors are significant determinants for the development of vascular pathology. Relationships between disturbed flow and various geometric factors from rest-state and exercise were examined. Wall shear stress, normal stress, and vorticity were used to verify the role of age, gender, and geometry on hemodynamic flow patterns.
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Mutlu, Onur, and Hüseyin Çağatay Yalçın. "Investigation of potential rupture locations for abdominal aortic aneurysms with patient-specific computational fluid dynamic analysis approach." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0091.

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Background: About 18 million people die each year from cardiovascular disorders, accounting for 31% of all deaths worldwide. Abdominal Aortic Aneurysm (AAA) is a serious clinical condition manifested as dilation of the aorta beyond 50% of the normal vessel diameter. Current clinical practice is to surgically repair large AAAs with a diameter > 5.5 cm. However, the practice is questionable based on small AAA rupture and large AAA no rupture cases. Currently, there is no accepted technique to quantify the risk of rupture for individual AAAs. It is believed that rupture locations are where peak wall stresses act. Hemodynamic forces by the flowing blood such as shear stress are also thought to contribute to the formation of aneurysms leading to rupture. Aim: Our aim is to perform precise computational analysis for the assessment of rupture risk for AAA patients. Methods: In this IRCC funded project, we will develop a patient-specific computational modeling methodology to assess wall stresses acting on the diseased AAA, for reliable rupture risk assessment of the conditions. In the computational simulations, we will adapt the fluid-structure interaction approach to account for both tissue displacements and hemodynamic forces, for enhanced accuracy. We have recruited 20 AAA patients at HMC and collected CT scans and ultrasound images for these patients. Using these medical data, we are developing accurate 3D model geometries. Doppler ultrasound measurements are used as velocity boundary conditions in the simulations. Expected Results: Findings from this project will contribute significantly to understanding the biomechanics and mechanobiology of AAA rupture and will help to establish a computational modeling approach for rupture risk assessment of AAAs.
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Amabili, Marco, Prabakaran Balasubramanian, Isabella Bozzo, Ivan D. Breslavsky, Giovanni Ferrari, and Giulio Franchini. "Nonlinear Dynamics of Human Aortas for Viscoelastic Mechanical Characterization." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24296.

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Abstract The results of this work present eleven human thoracic aortas tested on a mock circulatory loop (MCL) that was developed to simulate physiological pulsatile flow conditions. Results showed cyclic axisymmetric diameter changes, which were compatible with in-vivo cyclic diameter changes at resting heart rate. The dynamic stiffness increased with age, but the cyclic axisymmetric diameter variation decreased with age when at a resting pulse rate. The energy dissipation was also noted to decrease with increased age. The synergistic effects of the fluid-structure interaction and the viscoelasticity led to larger damping at higher pulse rates. The projected outcome of this work is creating innovative biomaterials that better reproduce the aortic dynamic behavior. The findings complement expanding avenues in advanced materials, with the aim of creating improved and mechanically compatible cardiovascular devices, like grafts and stents.
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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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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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Capelli, Claudio, Giorgia M. Bosi, Daria Cosentino, Giovanni Biglino, Sachin Khambadkone, Graham Derrick, Philipp Bonhoeffer, Andrew M. Taylor, and Silvia Schievano. "Patient-Specific Simulations in Interventional Cardiology Practice: Early Results From a Clinical/Engineering Centre." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16179.

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Patient-specific models have been recently applied to investigate a wide range of cardiovascular problems including cardiac mechanics, hemodynamic conditions and structural interaction with devices [1]. The development of dedicated computational tools which combined the advances in the field of image elaboration, finite element (FE) and computational fluid-dynamic (CFD) analyses has greatly supported not only the understanding of human physiology and pathology, but also the improvement of specific interventions taking into account realistic conditions [2, 3]. However, the translation of these technologies into clinical applications is still a major challenge for the engineering modeling community, which has to compromise between numerical accuracy and response time in order to meet the clinical needs [4]. Hence, the validation of in silico against in vivo results is crucial. Finally, if the development of novel tools has recently attracted big investments [5], it has not been similarly easy to dedicate funds and time to test the developed technologies on large numbers of patient cases.
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