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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4333
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
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article

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

Tristan van Leeuwen, Cornelis A. T. van den Berg, David Heesterbeek, Martijn Froeling et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Diet and metabolism studies
article

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

Tristan van Leeuwen, Cornelis A. T. van den Berg, David Heesterbeek, Martijn Froeling, Max van Riel, Alessandro Sbrizzi
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 70%
Diet and metabolism studies
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In vivo data-driven discovery of tissue's constitutive relations: proof of concept on a thigh muscle — Tristan van Leeuwen, Cornelis A. T. van den Berg, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS