Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods

Frontiers in Physiology

Physiology

Javiera Jilberto¹  David A. Nordsletten²  Ezgi Berberoğlu³  Johanna Stimm³  Sebastian Kozerke³  Christian T. Stoeck⁴  Renee Miller⁵ 

[1] Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States;Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States;School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom;Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland;Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland;Division of Surgical Research, University Hospital Zurich, University Zurich, Zurich, Switzerland;School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom;

关键词: in vivo;    patient-specific modelling;    cardiac microstructure;    fiber interpolation;    cardiac simualtion;    in vivo;    personalized modelling;   

DOI  :  10.3389/fphys.2022.1042537

 received in 2022-09-12, accepted in 2022-11-14,  发布年份 2022

来源: Frontiers

【 摘 要 】

Simulations of cardiac electrophysiology and mechanics have been reported to be sensitive to the microstructural anisotropy of the myocardium. Consequently, a personalized representation of cardiac microstructure is a crucial component of accurate, personalized cardiac biomechanical models. In-vivo cardiac Diffusion Tensor Imaging (cDTI) is a non-invasive magnetic resonance imaging technique capable of probing the heart’s microstructure. Being a rather novel technique, issues such as low resolution, signal-to noise ratio, and spatial coverage are currently limiting factors. We outline four interpolation techniques with varying degrees of data fidelity, different amounts of smoothing strength, and varying representation error to bridge the gap between the sparse in-vivo data and the model, requiring a 3D representation of microstructure across the myocardium. We provide a workflow to incorporate in-vivo myofiber orientation into a left ventricular model and demonstrate that personalized modelling based on fiber orientations from in-vivo cDTI data is feasible. The interpolation error is correlated with a trend in personalized parameters and simulated physiological parameters, strains, and ventricular twist. This trend in simulation results is consistent across material parameter settings and therefore corresponds to a bias introduced by the interpolation method. This study suggests that using a tensor interpolation approach to personalize microstructure with in-vivo cDTI data, reduces the fiber uncertainty and thereby the bias in the simulation results.

【 授权许可】

Unknown   
Copyright © 2022 Stimm, Nordsletten, Jilberto, Miller, Berberoğlu, Kozerke and Stoeck.