Digital Volume Correlation for Large Deformations of Soft Tissues: Pipeline and Proof of Concept for the application to Breast ex vivo Deformations

Thomas Lavigne (1) , Arnaud Mazier (1) , Antoine Perney (2, 1) , Stéphane Pierre Alain Bordas (1, 3) , François Hild (4) , Jakub Lengiewicz (5, 1)

1 University of Luxembourg [Luxembourg]
2 CDM - Centre des Matériaux
3 China Medical University Taichung
4 LMPS - Laboratoire de Mécanique Paris-Saclay
5 IPPT - Institute of Fundamental Technological Research

Being able to reposition tumors from prone imaging to supine surgery stances is key for bypassing current invasive marking used for conservative breast surgery. This study aims to demonstrate the feasibility of using Digital Volume Correlation (DVC) to measure the deformation of a female quarter thorax between two different body positioning when subjected to gravity. A segmented multipart mesh (bones, cartilage and tissue) was constructed and a three-step FE-based DVC procedure with heterogeneous elastic regularization was implemented. With the proposed framework, the large displacement field of a mixed hard/soft breast sample was recovered with low registration residuals and low error between the measured and the manually determined deformations of inter-phase interfaces. The present study showed the capacity of FE-based DVC to faithfully capture large deformations of hard/soft tissues.

Mots clés: Digital Volume Correlation; Elastic regularization; Hard/soft tissues; Large displacements; Kinematic fields; X-ray tomography

Domaines: Biomécanique [physics.med-ph]; Imagerie

Thomas Lavigne, Arnaud Mazier, Antoine Perney, Stéphane Pierre Alain Bordas, François Hild, et al.. Digital Volume Correlation for Large Deformations of Soft Tissues: Pipeline and Proof of Concept for the application to Breast ex vivo Deformations. Journal of the mechanical behavior of biomedical materials, 2022, 136, pp.105490. ⟨10.1016/j.jmbbm.2022.105490⟩. ⟨hal-03792835⟩