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Influence of fiber connectivity in simulations of cardiac biomechanics

  • D Gil
  • R Aris
  • A Borras
  • E Ramirez
  • R Sebastian
  • M Vazquez
Original Article

Abstract

Purpose

Personalized computational simulations of the heart could open up new improved approaches to diagnosis and surgery assistance systems. While it is fully recognized that myocardial fiber orientation is central for the construction of realistic computational models of cardiac electromechanics, the role of its overall architecture and connectivity remains unclear. Morphological studies show that the distribution of cardiac muscular fibers at the basal ring connects epicardium and endocardium. However, computational models simplify their distribution and disregard the basal loop. This work explores the influence in computational simulations of fiber distribution at different short-axis cuts.

Methods

We have used a highly parallelized computational solver to test different fiber models of ventricular muscular connectivity. We have considered two rule-based mathematical models and an own-designed method preserving basal connectivity as observed in experimental data. Simulated cardiac functional scores (rotation, torsion and longitudinal shortening) were compared to experimental healthy ranges using generalized models (rotation) and Mahalanobis distances (shortening, torsion).

Results

The probability of rotation was significantly lower for ruled-based models [95% CI (0.13, 0.20)] in comparison with experimental data [95% CI (0.23, 0.31)]. The Mahalanobis distance for experimental data was in the edge of the region enclosing 99% of the healthy population.

Conclusions

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.

Keywords

Cardiac electromechanical simulations Fiber connectivity Diffusion tensor imaging 

Notes

Acknowledgements

This work was funded by Spanish Projects DPI2015- 430 65286-R, 2017-SGR-1624, the CERCA Programme, the Serra Hunter Programme and the grant BES-2016-078042.

Compliance with ethical standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical approval

For this type of study, formal consent is not required.

Informed consent

This articles does not contain patient data.

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Copyright information

© CARS 2018

Authors and Affiliations

  1. 1.Computer Vision CenterUniversitat Autonoma de BarcelonaBellaterraSpain
  2. 2.Barcelona Supercomputing Center, BSC-CNSBarcelonaSpain
  3. 3.Universitat de ValenciaValenciaSpain
  4. 4.IIIA-CSICBellaterraSpain

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