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Abstract #0627

System for Validating MRI-based Myocardial Stiffness Estimation Techniques Using 3D-Printed Heart Phantoms

Fikunwa O. Kolawole1,2, Tyler Edward Cork2,3,4, Michael Loecher2,3, Judith Zimmermann3,5, Seraina A. Dual3, Marc E. Levenston1,3, and Daniel B. Ennis2,3
1Mechanical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States, 4Bioengineering, Stanford University, Stanford, CA, United States, 5Computer Science, Technical University of Munich, Garching, Germany

Cardiac MRI and finite element based techniques can be used to obtain subject-specific myocardial material properties. Verifying the accuracy and precision of these techniques requires overcoming the challenge of obtaining ground-truth in vivo myocardial stiffness estimates. This work presents a highly controlled in vitro diastolic filling setup incorporating a 3D-printed heart phantom developed with myocardial tissue-mimicking material of known mechanical and MRI properties. The setup enables acquisition of the data needed to estimate myocardial stiffness in computational models: phantom geometry, loading pressures, boundary conditions, and filling strains. This setup is designed to enable extensive validation of myocardial stiffness estimation frameworks.

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