Abstract

Background Computational cardiac modelling has been established as a valuable tool for simulating electrophysiology and electromechanics of the heart [1], with promising applications to “personalized medicine” [1]. Realistic computational models require a detailed description of left-ventricular cardiac fiber architecture. So far, nonpatient-specific fiber architectures have been obtained from histology or diffusion tensor imaging (DTI) of excised post-mortem hearts. However, compared to invivo, ex-vivo physiological conditions including ventricular pressure and residual contractile forces deviate significantly, hence potentially impacting measured fiber metrics. The objective of this work was to obtain and make available cardiac DTI data of the in-vivo human heart with full cardiac coverage in both peak systole and mid diastole including correction for myocardial strain.

Highlights

  • Computational cardiac modelling has been established as a valuable tool for simulating electrophysiology and electromechanics of the heart [1], with promising applications to “personalized medicine” [1]

  • The slope of a linear fit for all segments was found to be steeper in systole -1.8±0.1 than in diastole -1.4±0.2 with a mean helix angle range of (85.8±1.8)° in systole and (75.0±22.5)° in diastole (Figure 2B,C)

  • Transverse angles b were closely distributed around zero degrees in both systole (1.5±14.3)° and diastole (-0.4±7.7)° (Figure 2D)

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Summary

Introduction

Computational cardiac modelling has been established as a valuable tool for simulating electrophysiology and electromechanics of the heart [1], with promising applications to “personalized medicine” [1]. Realistic computational models require a detailed description of left-ventricular cardiac fiber architecture. Nonpatient-specific fiber architectures have been obtained from histology or diffusion tensor imaging (DTI) of excised post-mortem hearts. Compared to invivo, ex-vivo physiological conditions including ventricular pressure and residual contractile forces deviate significantly, potentially impacting measured fiber metrics. The objective of this work was to obtain and make available cardiac DTI data of the in-vivo human heart with full cardiac coverage in both peak systole and mid diastole including correction for myocardial strain

Objectives
Methods
Results
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