Translational Cardiovascular Modeling: Tetralogy of Fallot and Modeling of Diseases

Radomír Chabiniok, Kateřina Škardová, Radek Galabov, Pavel Eichler, Maria Gusseva, Jan Janoušek, Radek Fučík, Jaroslav Tintěra, Tomáš Oberhuber, Tarique Hussain

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Translational cardiovascular modeling (TCM) combines clinical data with physiologically and biophysically based models of the heart, vessels, or circulation while aiming to contribute to diagnosis or optimal clinical management. Models of heart mechanics and electromechanical models are applicable when assessing ventricular function, contributing to the planning of optimal intervention. During a perioperative period or acute exacerbation of heart failure, close to real-time running models can be coupled with signals monitoring cardiovascular physiology. Blood flow assessed by combining phase-contrast magnetic resonance imaging with flow models can contribute to the decision about a possible intervention, e.g., on heart valves or large vessels. Furthermore, advanced imaging and image processing constrained by biophysical models allows for the study of distinct patterns, which could contribute to early detection or mapping a disease progress. In this chapter, we demonstrate the applicability of some TCM methods on tetralogy of Fallot (TOF)—the most common cyanotic congenital heart disease. A number of already existing modeling techniques can be applied on the cohort of TOF. Likewise, some novel techniques developed specifically for the group of TOF patients could serve in some other pathologies. This whole approach leads to an acronym TOFMOD, standing for Tetralogy of Fallot and Modeling of Diseases.

Original languageEnglish (US)
Title of host publicationNecas Center Series
PublisherBirkhauser
Pages241-276
Number of pages36
DOIs
StatePublished - 2021

Publication series

NameNecas Center Series
VolumePart F1669
ISSN (Print)2523-3343
ISSN (Electronic)2523-3351

ASJC Scopus subject areas

  • General Mathematics
  • Engineering (miscellaneous)
  • Computational Theory and Mathematics

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