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A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms

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Functional Imaging and Modeling of the Heart (FIMH 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12738))

Abstract

MRI-driven computational modeling is increasingly used to simulate in vivo cardiac mechanical behavior and estimate subject-specific myocardial stiffness. However, in vivo validation of these estimates is exceedingly difficult due to the lack of a known ground-truth in vivo myocardial stiffness. We have developed 3D-printed heart phantoms of known myocardium-mimicking stiffness and MRI relaxation properties and incorporated the heart phantoms within a highly controlled MRI-compatible setup to simulate in vivo diastolic filling. The setup enables the acquisition of experimental data needed to evaluate myocardial stiffness using computational constitutive modeling: phantom geometry, loading pressures, boundary conditions, and filling strains. The pressure-volume relationship obtained from the phantom setup was used to calibrate an in silico model of the heart phantom undergoing simulated diastolic filling. The model estimated stiffness was compared to a ground-truth stiffness obtained from uniaxial tensile testing. Ultimately, the setup is designed to enable extensive validation of MRI and FEM-based myocardial stiffness estimation frameworks.

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Acknowledgements

This work was supported by NIH R01 HL131823 to DBE.

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Authors and Affiliations

  1. Department of Radiology, Stanford University, Stanford, CA, 94305, USA

    Fikunwa O. Kolawole, Tyler E. Cork, Vicky Y. Wang, Seraina A. Dual, Marc E. Levenston & Daniel B. Ennis

  2. Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA

    Fikunwa O. Kolawole, Mathias Peirlinck, Marc E. Levenston & Ellen Kuhl

  3. Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA

    Tyler E. Cork

  4. Division of Radiology, VA Palo Alto Health Care System, Palo Alto, CA, 94304, USA

    Daniel B. Ennis

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  1. Fikunwa O. Kolawole
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  2. Mathias Peirlinck
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  3. Tyler E. Cork
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  4. Vicky Y. Wang
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  5. Seraina A. Dual
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  6. Marc E. Levenston
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  7. Ellen Kuhl
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  8. Daniel B. Ennis
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Corresponding author

Correspondence to Fikunwa O. Kolawole .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Daniel B. Ennis

  2. University of Central Florida, Orlando, FL, USA

    Luigi E. Perotti

  3. Stanford University, Stanford, CA, USA

    Vicky Y. Wang

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Kolawole, F.O. et al. (2021). A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms. In: Ennis, D.B., Perotti, L.E., Wang, V.Y. (eds) Functional Imaging and Modeling of the Heart. FIMH 2021. Lecture Notes in Computer Science(), vol 12738. Springer, Cham. https://doi.org/10.1007/978-3-030-78710-3_30

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  • DOI: https://doi.org/10.1007/978-3-030-78710-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78709-7

  • Online ISBN: 978-3-030-78710-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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