A simple multi-scale model to evaluate left ventricular growth laws

Emanuele Rondanina, Peter Bovendeerd

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

Abstract

Cardiac growth is the natural capability of the heart of
adapting to changes in blood flow demands. Cardiac diseases can trigger
the same process leading to an abnormal type of growth. Although
several models have been published, details on this process remain still
unclear. This study offers an analysis on the driving force of cardiac
growth along with an evaluation on the final grown state. Through a
zero dimensional model of the left ventricle we evaluate cardiac growth
in response to three valve diseases, aortic and mitral regurgitation along
with aortic stenosis. We investigate how different combinations of stress
and strain based stimuli affect growth in terms of cavity volume and
wall volume. All of our simulations are able to reach a converged state
without any growth constraint. The simulated grown state corresponded
to the experimentally observed state for all valve disease cases, except
for aortic regurgitation simulated with a mix of stress and strain stimuli.
Thus we demonstrate how a simple model of left ventricular mechanics
can be used to have a first evaluation of a designed growth law.
Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings
EditorsNejib Zemzemi, Yves Coudière, Valéry Ozenne, Edward Vigmond
Place of PublicationCham
PublisherSpringer Nature
Pages249-257
Number of pages9
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

Keywords

  • Concentric growth
  • Eccentric growth
  • Left ventricle

Fingerprint Dive into the research topics of 'A simple multi-scale model to evaluate left ventricular growth laws'. Together they form a unique fingerprint.

Cite this