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Abstract #1319

Impact of cardiac geometry segmentation on MRI-driven estimates of myocardial stiffness in an in vitro synthetic heart model

Fikunwa Kolawole1,2,3, Mathias Peirlinck4, Tyler E Cork1,2,5, Marc E Levenston1,3, Ellen Kuhl3, and Daniel Ennis1,2
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Mechanical Engineering, Stanford University, Stanford, CA, United States, 4Biomechanical Engineering, Technische Universiteit Delft, Delft, Netherlands, 5Bioengineering, Stanford University, Stanford, CA, United States


MRI-driven computational constitutive modeling can be used to obtain subject-specific myocardial passive stiffness. Verifying the accuracy and precision of this technique requires overcoming the challenge of obtaining ground-truth in vivo myocardial stiffness. We developed a controllable in vitro diastolic filling setup which incorporates a soft heart phantom of known myocardium-mimicking mechanical stiffness and MRI properties. Using the setup we demonstrate that uncertainties in quantifying cardiac reference geometry can lead to errors in estimating myocardial passive stiffness. The in vitro setup is designed to enable us to achieve our overarching goal: to extensively validate in vivo MRI-based myocardial passive stiffness estimation.

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