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Personalized Computational Hemodynamics

Personalized Computational Hemodynamics
  • Author : Yuri Vassilevski
  • Publsiher : Academic Press
  • Release : 19 April 2020
  • ISBN : 0128156546
  • Pages : 280 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKPersonalized Computational Hemodynamics

Summary:
Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the "Research group in simulation of blood flow and vascular pathologies" at the Institute of Numerical Mathematics of the Russian Academy of Sciences. Two important features distinguish this book from other monographs on numerical methods for biomedical applications. First, the variety of medical disciplines targeted by the mathematical modeling and computer simulations, including cardiology, vascular neurology and oncology. Second, for all mathematical models, the authors consider extensions and parameter tuning that account for vascular pathologies. Examines a variety of medical disciplines targeted by mathematical modeling and computer simulation Discusses how the results of numerical simulations are used to support clinical decision-making Covers hemodynamics relating to various subject areas, including vascular surgery and oncological tumor treatments


Personalized Computational Hemodynamics

Personalized Computational Hemodynamics
  • Author : Yuri Vassilevski,Maxim Olshanskii,Sergey Simakov,Andrey Kolobov,Alexander Danilov
  • Publisher : Academic Press
  • Release : 19 April 2020
GET THIS BOOKPersonalized Computational Hemodynamics

Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of

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Mathematical Modelling in Biomedicine

Mathematical Modelling in Biomedicine
  • Author : Vitaly Volpert
  • Publisher : MDPI
  • Release : 26 January 2021
GET THIS BOOKMathematical Modelling in Biomedicine

Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational

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Smart Modelling For Engineering Systems

Smart Modelling For Engineering Systems
  • Author : Margarita N. Favorskaya,Alena V. Favorskaya,Igor B. Petrov,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 26 February 2021
GET THIS BOOKSmart Modelling For Engineering Systems

This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and

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Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells

Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells
  • Author : Rubem P. Mondaini
  • Publisher : Springer Nature
  • Release : 27 July 2021
GET THIS BOOKTrends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil. Topics covered in this volume include infection modeling, with an emphasis on different aspects of the COVID-19 and novel Coronavirus spread; a description of the effectiveness of quarantine measures via dynamic analysis of SLIR model; hemodynamic simulations in time-dependent domains; an optimal control model for the Ebola disease; and the

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Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies

Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies
  • Author : Lucian Mihai Itu,Puneet Sharma,Constantin Suciu
  • Publisher : Springer
  • Release : 31 May 2017
GET THIS BOOKPatient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies

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

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Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI
  • Author : Belén Casas Garcia
  • Publisher : Linköping University Electronic Press
  • Release : 15 February 2019
GET THIS BOOKTowards Personalized Models of the Cardiovascular System Using 4D Flow MRI

Current diagnostic tools for assessing cardiovascular disease mostly focus on measuring a given biomarker at a specific spatial location where an abnormality is suspected. However, as a result of the dynamic and complex nature of the cardiovascular system, the analysis of isolated biomarkers is generally not sufficient to characterize the pathological mechanisms behind a disease. Model-based approaches that integrate the mechanisms through which different components interact, and present possibilities for system-level analyses, give us a better picture of a patient’

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Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges

Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges
  • Author : Oscar Camara,Tommaso Mansi,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Alistair Young
  • Publisher : Springer
  • Release : 31 December 2014
GET THIS BOOKStatistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational

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Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies
  • Author : Eduardo Soudah Prieto
  • Publisher : Anonim
  • Release : 28 June 2022
GET THIS BOOKComputational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies

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.

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Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
  • Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
  • Publisher : Academic Press
  • Release : 25 November 2019
GET THIS BOOKArtificial Intelligence for Computational Modeling of the Heart

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

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Trends in Biomathematics: Modeling, Optimization and Computational Problems

Trends in Biomathematics: Modeling, Optimization and Computational Problems
  • Author : Rubem P. Mondaini
  • Publisher : Springer
  • Release : 16 August 2018
GET THIS BOOKTrends in Biomathematics: Modeling, Optimization and Computational Problems

This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results

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