Multiscale And Patient Specific Cardiovascular Modeling
DOWNLOAD
Download Multiscale And Patient Specific Cardiovascular Modeling PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Multiscale And Patient Specific Cardiovascular Modeling book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Multiscale And Patient Specific Cardiovascular Modeling
DOWNLOAD
Author : Daniel Joseph Canuto
language : en
Publisher:
Release Date : 2019
Multiscale And Patient Specific Cardiovascular Modeling written by Daniel Joseph Canuto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Despite continuing advances in computational power, full-body models of the human cardiovascular system remain a costly task. Two principal reasons for this cost are the total overall length of the vascular network (spanning O(10^8) m) and the broad range of length scales (from 10^ 2 to 10^ 6 m) involved. Multiscale modeling can be employed to overcome these issues; specifically, subsystems of higher spatial dimension representing domains of interest can be coupled at their boundaries to lower-dimensional subsystems that mimic relevant inflow/outflow conditions. Though this scheme can increase computational efficiency, the inherent reduction in spatial dimension results in parameterizations that can be difficult to optimize in patient-specific contexts. This work is divided into two parts: in the first segment, a closed-loop multiscale model of the entire cardiovascular system is developed and integrated with a feedback control model for blood pressure regulation. It is tested against clinical data for cohorts of healthy subjects, and its predictive utility is demonstrated in a simulation of acute hemorrhage from the upper leg. After validating the multiscale/reduced-order approach, a parameter optimization technique based on the ensemble Kalman filter (EnKF) is constructed. By assimilating patients' clinical measurements, this method is shown to successfully tune parameters in two models: a zero-dimensional model of the pulmonary circulation, and a multiscale 0D-1D model of the lower leg.
Patient Specific Hemodynamic Computations Application To Personalized Diagnosis Of Cardiovascular Pathologies
DOWNLOAD
Author : Lucian Mihai Itu
language : en
Publisher: Springer
Release Date : 2017-05-31
Patient Specific Hemodynamic Computations Application To Personalized Diagnosis Of Cardiovascular Pathologies written by Lucian Mihai Itu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Medical categories.
Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development of reduced-order multiscale hemodynamic models for coronary artery disease, aortic coarctation and whole body circulation, which can be applied in routine clinical settings for personalized diagnosis. Specific parameter estimation frameworks are introduced for calibrating the parameters of the models and high performance computing solutions are employed to reduce their execution time. The personalized computational models are validated against patient-specific measurements. The book is written for scientists in the field of biomedical engineering focusing on the cardiovascular system, as well as for research-oriented physicians in cardiology and industrial players in the field of healthcare technologies.
Patient Specific Modeling Of The Cardiovascular System
DOWNLOAD
Author : Roy C.P. Kerckhoffs
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-03
Patient Specific Modeling Of The Cardiovascular System written by Roy C.P. Kerckhoffs and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-03 with Science categories.
Peter Hunter Computational physiology for the cardiovascular system is entering a new and exciting phase of clinical application. Biophysically based models of the human heart and circulation, based on patient-specific anatomy but also informed by po- lation atlases and incorporating a great deal of mechanistic understanding at the cell, tissue, and organ levels, offer the prospect of evidence-based diagnosis and treatment of cardiovascular disease. The clinical value of patient-specific modeling is well illustrated in application areas where model-based interpretation of clinical images allows a more precise analysis of disease processes than can otherwise be achieved. For example, Chap. 6 in this volume, by Speelman et al. , deals with the very difficult problem of trying to predict whether and when an abdominal aortic aneurysm might burst. This requires automated segmentation of the vascular geometry from magnetic re- nance images and finite element analysis of wall stress using large deformation elasticity theory applied to the geometric model created from the segmentation. The time-varying normal and shear stress acting on the arterial wall is estimated from the arterial pressure and flow distributions. Thrombus formation is identified as a potentially important contributor to changed material properties of the arterial wall. Understanding how the wall adapts and remodels its material properties in the face of changes in both the stress loading and blood constituents associated with infl- matory processes (IL6, CRP, MMPs, etc.
Multiscale Modelling In Biomedical Engineering
DOWNLOAD
Author : Dimitrios I. Fotiadis
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-07
Multiscale Modelling In Biomedical Engineering written by Dimitrios I. Fotiadis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-07 with Science categories.
Multiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.
Mathematical Modelling Of The Human Cardiovascular System
DOWNLOAD
Author : Alfio Quarteroni
language : en
Publisher: Cambridge University Press
Release Date : 2019-05-09
Mathematical Modelling Of The Human Cardiovascular System written by Alfio Quarteroni and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with Mathematics categories.
Addresses the mathematical and numerical modelling of the human cardiovascular system, from patient data to clinical applications.
Patient Specific Modeling Of The Cardiovascular System
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2011-07-11
Patient Specific Modeling Of The Cardiovascular System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-11 with categories.
Artificial Intelligence For Computational Modeling Of The Heart
DOWNLOAD
Author : Tommaso Mansi
language : en
Publisher: Academic Press
Release Date : 2019-11-25
Artificial Intelligence For Computational Modeling Of The Heart written by Tommaso Mansi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Science categories.
Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient’s heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Modeling The Heart And The Circulatory System
DOWNLOAD
Author : Alfio Quarteroni
language : en
Publisher: Springer
Release Date : 2015-04-24
Modeling The Heart And The Circulatory System written by Alfio Quarteroni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-24 with Mathematics categories.
The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation of the human cardiocirculatory system. The contributions cover a wide range of topics, from the preprocessing of clinical data to the development of mathematical equations, their numerical solution, and both in-vivo and in-vitro validation. They discuss the flow in the systemic arterial tree and the complex electro-fluid-mechanical coupling in the human heart. Many examples of patient-specific simulations are presented. This book is addressed to all scientists interested in the mathematical modeling and numerical simulation of the human cardiocirculatory system.
Computational Modelling And Uncertainty Quantification Of Blood Flow In The Coronary Arteries
DOWNLOAD
Author : Justin Sheldon Tran
language : en
Publisher:
Release Date : 2018
Computational Modelling And Uncertainty Quantification Of Blood Flow In The Coronary Arteries written by Justin Sheldon Tran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Atherosclerotic coronary artery disease continues to negatively impact the lives of millions worldwide. Computational fluid dynamics modeling of coronary blood flow has the potential to help improve clinical outcomes and aid in treatment planning. Significant advancements in coronary blood flow modeling in recent years have opened a wide range of applications such as assessing risk for disease progression or providing a platform for virtual surgery and treatment planning. To encourage the growth of this field and promote adoption of computational results in the clinic, it is crucial that these tools be made as automated as possible so they can be applied to large patient cohorts. In addition, the variability of computational results with respect to uncertainties in the inputs and model must be better understood and systematically quantified. Addressing these concerns is the subject of this thesis. In the first part, a framework for automatically tuning the lumped parameter boundary conditions in simulations of coronary blood flow is developed and demonstrated. Specifying boundary conditions in complex computational models is not a trivial task, especially when the dimensionality of the input space is high and multiple constraints on the outputs need to be satisfied simultaneously. Specifically in the context of patient-specific coronary simulations, clinical data such as the blood pressure, cardiac output, and coronary flow waveforms must be simultaneously satisfied with a large set of input parameters that include lumped resistances, capacitances, and heart model parameters. A typical user can eventually gain expertise to modify the input parameters to satisfy targets, but this manual tuning is time-consuming and not easily reproduced. We thus formulate the automated tuning process as a Bayesian inverse problem in which the model parameters are treated as random variables, and optimal parameters are determined by finding the maximum of the posterior distribution of input parameters. We also perform sensitivity analysis on the input parameters to determine a subset of thirteen parameters that most influence the clinical targets. In the second part, we perform uncertainty quantification on patient-specific simulations of coronary artery bypass graft hemodynamics. Vein graft failure in patients with coronary bypass continues to be a major clinical issue with relatively little knowledge about the mechanisms for failure. Simulations have shown that predicted quantities such as wall shear stress or wall strain can be useful in predicting vein graft failure, but adoption of such results in clinical practice is hindered due to the fact simulations can only produce deterministic results with no range of confidence. Uncertainty quantification provides a framework for quantifying the uncertainty in computational results, and we applied it to assess the variability in computed predictions of time-average wall shear stress and wall strain under uncertainty in the lumped parameter boundary conditions and vessel wall material properties. To achieve this aim efficiently, we develop a novel submodeling strategy for reducing the computational cost of the analysis. We also, for the first time, consider spatial variability in the graft wall material properties by using a random field description. We finally propagate these uncertainties forward using a newly developed multi-resolution approach. The results show that the time-averaged wall shear stress is relatively well estimated with confidence intervals about 35\% of the mean value, but the wall strain exhibited significantly more variability due to the large uncertainty in the material properties. In the third part, we perform a comparison of methods for modeling wall deformability in vascular blood flow simulations. Though sometimes neglected, wall deformability can have significant impacts on the computational results, affecting predictions of wall shear stress and precluding calculation of stresses and strains in the vessel wall. There are several methods proposed in the literature for modeling wall deformability, two of the most popular being the Arbitrary Lagrangian Eularian (ALE) and Couple Momentum Methods (CMM). Although both methods capture the essential characteristics of wall deformability, they can produce different results and computational performance. This provides a rigorous comparison which will aid in the choice of deformable wall model. Additionally, we consider the concept of prestress. Because the geometry for a patient-specific simulation is extracted from medical image data of the \textit{in vivo} cardiovascular system, the vessel walls carry an internal stress which holds the geometry in equilibrium with hemodynamic pressures and viscous stresses. We implement prestress in both ALE and CMM contexts and confirm that it is necessary to avoid over-inflation of the anatomic domain. Although studied mostly within the context of coronary flow simulations, the methods and approaches outlined in this thesis are designed to be generally applicable across other domains in computational modeling, fluid dynamics, and biomechanics. Automated tuning is a general framework for assimilating multiple sources of target data to inform optimal input parameter values, and can broadly be applied in multiscale modeling. The methods for uncertainty quantification can be adapted to assess variability of simulations in other computational fluid mechanics and biomechanics contexts. The results from the wall deformability comparison can also be extended to apply to other contexts including other cardiovascular diseases, respiratory flow, and medical devices. In addition to providing insights into coronary flow simulations, this thesis aims to motivate the importance of tuning, uncertainty quantification, and model comparisons for other cardiovascular simulations and multiscale biological modeling more broadly.
Personalized Multi Scale Modeling Of The Atria Heterogeneities Fiber Architecture Hemodialysis And Ablation Therapy
DOWNLOAD
Author : Martin Wolfgang Krüger
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-05-22
Personalized Multi Scale Modeling Of The Atria Heterogeneities Fiber Architecture Hemodialysis And Ablation Therapy written by Martin Wolfgang Krüger and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Technology & Engineering categories.
This book targets three fields of computational multi-scale cardiac modeling. First, advanced models of the cellular atrial electrophysiology and fiber orientation are introduced. Second, novel methods to create patient-specific models of the atria are described. Third, applications of personalized models in basic research and clinical practice are presented. The results mark an important step towards the patient-specific model-based atrial fibrillation diagnosis, understanding and treatment.