Personalized Computational Hemodynamics

  • 4h 55m
  • Alexander Danilov, Andrey Kolobov, Maxim Olshanskii, Sergey Simakov, Yuri Vassilevsky
  • Elsevier Science and Technology Books, Inc.
  • 2021

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.

In this Book

  • Introduction
  • Basic Facts about Human Cardiovascular System
  • Patient-Specific Geometric Modeling
  • Equations of Fluid Dynamics and Elasticity
  • 3D Vascular and Heart Hemodynamics
  • Lumped Parameter Models
  • 1D Vascular Hemodynamics
  • Hemodynamics in Normal and Angiogenic Capillary Networks
  • Computational Hemodynamics in Vascular Surgery
  • Applications in Antitumor Therapy
  • Bibliography
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