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Abstract #4333

In vivo data-driven discovery of tissue's constitutive relations: proof of concept on a thigh muscle

David G.J. Heesterbeek1, Max H.C. van Riel1, Martijn Froeling2, Tristan van Leeuwen3,4, Cornelis A.T. van den Berg1, and Alessandro Sbrizzi1
1Department of Radiotherapy, Computational Imaging Group for MR Therapy and Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands, 2High Field Group, University Medical Center Utrecht, Utrecht, Netherlands, 3Utrecht University, Utrecht, Netherlands, 4Centrum Wiskunde & Informatica, Amsterdam, Netherlands

Synopsis

Keywords: Signal Representations, Tissue Characterization, Muscle, Elastography

Motivation: Over simplified constitutive relations limit the applicability of in vivo biomechanical analysis of tissue.

Goal(s): To develop a data-driven framework for discovering potentially more accurate in vivo constitutive relations using displacement fields and pressure measurements obtained in a simple acquisition/reconstruction setup.

Approach: An inflatable pressure cuff is used to deform the thigh muscle during an MRI scan. Time-resolved images and displacement fields are reconstructed directly from k-space and used to extract strain information. This information allows for the discovery of potentially more accurate constitutive relations.

Results: An anisotropic constitutive relation for the hamstring is found. Numerical tests suggest the validity of the method.

Impact: Data-driven discovery of tissue’s constitutive relations could help to better characterise its mechanical properties. We demonstrated in this proof of concept study that information acquired during simple dynamic loading experiments allows reconstruction of constitutive relations that include muscle anisotropy.

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Keywords