Personalized 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 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

Professor, corresponding member of Russian Academy of Sciences Yuri Vassilevski is the deputy director of Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, the head of Laboratory of mathematical modelling in medicine of Sechenov University, the head of the department of computational technologies and modelling in geophysics and biomathematics at Moscow Institute of Physics and Technology and the head of the department of mathematics, mechanics and mathematical modelling at Sechenov University. He received his PhD Degree from Institute of Numerical Mathematics, Russian Academy of Science (1993) and second doctorate (Habilitation) in Mathematics at the same institute (2006). His research interests are in adaptive meshing, numerical analysis, mathematical modelling and scientific computing with applications in geophysics and biomedical engineering. From 2013 he serves as the Managing Editor of the Russian Journal of Numerical Analysis and Mathematical Modelling.