Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2022.1042537/full |
| _version_ | 1811162435480977408 |
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| author | Johanna Stimm David A. Nordsletten David A. Nordsletten Javiera Jilberto Renee Miller Ezgi Berberoğlu Sebastian Kozerke Christian T. Stoeck Christian T. Stoeck |
| author_facet | Johanna Stimm David A. Nordsletten David A. Nordsletten Javiera Jilberto Renee Miller Ezgi Berberoğlu Sebastian Kozerke Christian T. Stoeck Christian T. Stoeck |
| author_sort | Johanna Stimm |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T06:29:34Z |
| format | Article |
| id | doaj.art-6c58668e4d2645109026ea311e52b154 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-10T06:29:34Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-6c58668e4d2645109026ea311e52b1542023-03-01T09:59:54ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2022-11-011310.3389/fphys.2022.10425371042537Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methodsJohanna Stimm0David A. Nordsletten1David A. Nordsletten2Javiera Jilberto3Renee Miller4Ezgi Berberoğlu5Sebastian Kozerke6Christian T. Stoeck7Christian T. Stoeck8Institute for Biomedical Engineering, University and ETH Zurich, Zurich, SwitzerlandDepartment of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United StatesSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomDepartment of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United StatesSchool of Biomedical Engineering and Imaging Sciences, King’s College London, London, United KingdomInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, SwitzerlandInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, SwitzerlandInstitute for Biomedical Engineering, University and ETH Zurich, Zurich, SwitzerlandDivision of Surgical Research, University Hospital Zurich, University Zurich, Zurich, SwitzerlandSimulations 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.https://www.frontiersin.org/articles/10.3389/fphys.2022.1042537/fullin vivo cDTIpatient-specific modellingcardiac microstructurefiber interpolationcardiac simualtionin vivo microstructure |
| spellingShingle | Johanna Stimm David A. Nordsletten David A. Nordsletten Javiera Jilberto Renee Miller Ezgi Berberoğlu Sebastian Kozerke Christian T. Stoeck Christian T. Stoeck Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods Frontiers in Physiology in vivo cDTI patient-specific modelling cardiac microstructure fiber interpolation cardiac simualtion in vivo microstructure |
| title | Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods |
| title_full | Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods |
| title_fullStr | Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods |
| title_full_unstemmed | Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods |
| title_short | Personalization of biomechanical simulations of the left ventricle by in-vivo cardiac DTI data: Impact of fiber interpolation methods |
| title_sort | personalization of biomechanical simulations of the left ventricle by in vivo cardiac dti data impact of fiber interpolation methods |
| topic | in vivo cDTI patient-specific modelling cardiac microstructure fiber interpolation cardiac simualtion in vivo microstructure |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2022.1042537/full |
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