Modeling cardiac growth: an alternative approach

N.C.J. van Osta, L. van der Donk, Emanuele Rondanina, Peter Bovendeerd

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Models of cardiac growth might assist in clinical decision
making, in particular for long-term prognosis of the effect of interventions.
Most growth models strictly enforce the amount and direction
of volume change and prevent runaway growth by limiting maximum
growth. These assumptions have been questioned. We propose an alternative
model for cardiac growth, in which the actual volume change of
a tissue element is determined by the desired volume change in that
element and the degree to which this change is resisted by the surrounding
tissue. The model was evaluated on its ability to reproduce a stable
healthy left ventricular configuration under normal hemodynamic load.
A homeostatic equilibrium state could not be obtained, which might be
due to limitations in the mechanics model or an inadequate stimuluseffect
relation in the growth model. Still, the basic idea underlying the
model could be an interesting alternative to current growth models.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings
EditorsYves Coudière, Nejib Zemzemi, Valéry Ozenne, Edward Vigmond
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages258-265
Number of pages8
ISBN (Electronic)978-3-030-21949-9
ISBN (Print)978-3-030-21948-2
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringerLink
Volume11504

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Keywords

  • Finite element model
  • Growth law
  • Homeostatic state

Cite this

van Osta, N. C. J., van der Donk, L., Rondanina, E., & Bovendeerd, P. (2019). Modeling cardiac growth: an alternative approach. In Y. Coudière, N. Zemzemi, V. Ozenne, & E. Vigmond (Eds.), Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings (pp. 258-265). (Lecture Notes in Computer Science; Vol. 11504). Cham: Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-21949-9_28