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Computational Study of the Cerebral Circulation Accounting for the Patient-specific Anatomical Features

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Book cover Smart Modeling for Engineering Systems (GCM50 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 133))

Abstract

In this work, we present a dynamical one-dimensional network model of haemodynamics. We numerically study total convergence for the two types of implicit discretization of the compatibility conditions at the boundary nodes. We also present a practical biomedical application of the developed numerical model to the problem of blood flow variability in cerebral circulation due to anatomical features of the vascular network in the presence of the atherosclerosis disease.

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Acknowledgements

This work was supported by the Russian Science Foundation, grant No. 14-31-00024. The authors acknowledge the help of the staff of Sechenov University, especially N. Gagarina, E. Fominikh, and A. Dzunzya for collecting the data. We also acknowledge the help of R. Pryamonosov for processing CTA data.

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Authors and Affiliations

  1. Moscow Institute of Physics and Technology (MIPT), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russian Federation

    Sergey Simakov & Timur Gamilov

  2. Institute of Numerical Mathematics of the RAS, 8 Gubkina ul., Moscow, 119333, Russian Federation

    Sergey Simakov & Timur Gamilov

  3. Sechenov University, 4, Bolshaya Pirogovskaya ul., Moscow, 119991, Russian Federation

    Sergey Simakov & Timur Gamilov

Authors
  1. Sergey Simakov
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  2. Timur Gamilov
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Corresponding author

Correspondence to Sergey Simakov .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Numerical Mathematics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Igor B. Petrov

  2. Department of Applied Computational Geophysics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Alena V. Favorskaya

  3. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. Department of Computational Physics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Sergey S. Simakov

  5. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia

    Lakhmi C. Jain

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Simakov, S., Gamilov, T. (2019). Computational Study of the Cerebral Circulation Accounting for the Patient-specific Anatomical Features. In: Petrov, I., Favorskaya, A., Favorskaya, M., Simakov, S., Jain, L. (eds) Smart Modeling for Engineering Systems. GCM50 2018. Smart Innovation, Systems and Technologies, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-030-06228-6_25

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