Predicting and Understanding Age-Dependent Arterial Elasticity from Key Microstructural Features by Bidirectional Deep Learning - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue SSRN Electronic Journal Année : 2022

Predicting and Understanding Age-Dependent Arterial Elasticity from Key Microstructural Features by Bidirectional Deep Learning

Résumé

Microstructural features and mechanical properties are closely related in all soft biological tissues. Both yet exhibit considerable inter-individual differences and are affected by factors such as aging and disease and its progression. Histological analysis, modern in situ imaging, and biomechanical testing have deepened our understanding of these complex interrelations, yet two key problems remain: (1) Given the specific microstructure, how can one predict the macroscopic mechanical properties without mechanical testing? (2) How can one quantify individual contributions of the different microstructural features to the macroscopic mechanical properties in an automated, systematic and largely unbiased way? Here we propose a bidirectional deep learning architecture to address these two problems. Our architecture uses data from standard histological analyses, two-photon microscopy and biaxial biomechanical testing. Its capabilities are demonstrated by predicting with high accuracy (R2=0.92) the evolving mechanical properties of the murine aorta during maturation and aging. Moreover, our architecture reveals that the extracellular matrix (ECM) composition and organization are the most prominent factors governing the macroscopic mechanical properties of the tissues studied herein.
Fichier non déposé

Dates et versions

hal-03977666 , version 1 (07-02-2023)

Identifiants

Citer

Kevin Linka, Cristina Cavinato, Jay Humphrey, Christian Cyron. Predicting and Understanding Age-Dependent Arterial Elasticity from Key Microstructural Features by Bidirectional Deep Learning. SSRN Electronic Journal, 2022, ⟨10.2139/ssrn.4015205⟩. ⟨hal-03977666⟩
6 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More