2018
DOI: 10.1007/s11548-018-1849-9
|View full text |Cite
|
Sign up to set email alerts
|

Influence of fiber connectivity in simulations of cardiac biomechanics

Abstract: Cardiac electromechanical simulations of the heart with fibers extracted from experimental data produce functional scores closer to healthy ranges than rule-based models disregarding architecture connectivity.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
10
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(11 citation statements)
references
References 26 publications
1
10
0
Order By: Relevance
“…Large differences can be expected when using literature-based fibre structures and dispersion parameters compared with case LDDMM. Those different results highlight the necessity of use realistic myofibre structure for personalized cardiac modelling as demonstrated in other studies [15,20,21,24]. In case LDDMM, the high active fibre stresses at both epicardial and endocardial surfaces (figure 7a) can potentially enhance the long-axis shortening and also apical twist (figure 6d).…”
Section: Discussionmentioning
confidence: 70%
See 1 more Smart Citation
“…Large differences can be expected when using literature-based fibre structures and dispersion parameters compared with case LDDMM. Those different results highlight the necessity of use realistic myofibre structure for personalized cardiac modelling as demonstrated in other studies [15,20,21,24]. In case LDDMM, the high active fibre stresses at both epicardial and endocardial surfaces (figure 7a) can potentially enhance the long-axis shortening and also apical twist (figure 6d).…”
Section: Discussionmentioning
confidence: 70%
“…Pluijmert et al [20] found that a change of 8°in myofibre orientation along transmural direction can cause a considerable increase in cardiac pump work (17%). In a recent study, Gil et al [21] compared three different myofibre architectures in an electromechanics bi-ventricular model, one is from a DT-MRI dataset [22], the other two are reconstructed using a rule-based approach [14] with histologically measured myofibre angles [23]. Their results showed that the model with realistic myofibre structure from DT-MRI produces functional scores much closer to healthy ranges than rule-based approaches.…”
Section: Introductionmentioning
confidence: 99%
“…The myocardial fibers plays a key role in the electric signal propagation and in the myocardial contraction [47,48,49,50,51]. Due to the difficulty of reconstructing cardiac fibers from medical imaging, a widely used strategy for generating myofiber orientations in EM models relies on the so called Laplace-Dirichlet-Rule-Based-Methods (LDRBMs) [52,53,54,55], recently analysed under a communal mathematical setting [47].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the difficulty of reconstructing cardiac fibers from medical imaging, a widely used strategy for generating myofiber orientations in EM models relies on the so called Laplace-Dirichlet-Rule-Based-Methods (LDRBMs) [52,53,54,55], recently analysed under a communal mathematical setting [47]. While it is well recognized that myofibers orientation is crucial for the construction of a realistic EM model, their architecture has been explored only in a few works and it is not fully understood [20,31,50,56,57]. Another crucial issue for the reconstruction of a suitable cardiac fiber architecture consists in considering the myofibers dispersion around a predominant direction [31,58,59,60].…”
Section: Introductionmentioning
confidence: 99%
“…Aggregations of myofibers, namely the results of cardiomyocytes orientation, determine how the electric signal propagates within the muscle [1,2,3]. Moreover, also the muscle mechanical contraction, which is triggered by the propagation of the electric signal thorough the tissue, strongly depends on the fibers orientation [4,5,6,7,8]. This motivates the need to accurately include fiber orientations in order to obtain physically meaningful results [9,10].…”
Section: Introductionmentioning
confidence: 99%