Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg.
Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg; Centre des Materiaux, Mines ParisTech, PSL University, 63-65 Rue Henri Auguste Desbrueres, Corbeil-Essonnes, 91100, France.
J Mech Behav Biomed Mater. 2022 Dec;136:105490. doi: 10.1016/j.jmbbm.2022.105490. Epub 2022 Sep 30.
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.
能够将肿瘤从俯卧位成像重新定位到仰卧位手术姿势对于绕过当前用于保乳手术的侵入性标记至关重要。本研究旨在证明使用数字体积相关(DVC)来测量女性四分之一胸部在受到重力作用时处于两种不同体位时的变形的可行性。构建了分段多部分网格(骨骼、软骨和组织),并实现了基于有限元的三步 DVC 程序和异质弹性正则化。在所提出的框架中,使用低配准残差和相位界面的测量和手动确定变形之间的小误差,恢复了硬/软组织的大位移场。本研究表明,基于有限元的 DVC 能够忠实地捕捉硬/软组织的大变形。