Digital Volume Correlation for large deformations of soft tissues: Pipeline and proof of concept for the application to breast ex vivo deformations

J Mech Behav Biomed Mater. 2022 Dec:136:105490. doi: 10.1016/j.jmbbm.2022.105490. Epub 2022 Sep 30.

Abstract

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 hard/soft breast sample was recovered with low registration residuals and small error between the measured and manually determined deformations of phase interfaces. The present study showed the capacity of FE-based DVC to faithfully capture large deformations of hard/soft tissues.

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

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms* / surgery
  • Breast* / diagnostic imaging
  • Female
  • Humans
  • Mastectomy, Segmental*
  • Prone Position
  • Supine Position