Keywords :
Digital Volume Correlation; Elastic regularization; Hard/soft tissues; Kinematic fields; Large displacements; X-ray tomography; Digital volume correlations; Ex-vivo; Hard-soft tissues; Kinematic field; Larger deformations; Proof of concept; Soft tissue; Bone and Bones; Female; Humans; Biomaterials; Biomedical Engineering; Mechanics of Materials; Hard; soft tissues
Abstract :
[en] 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.
Disciplines :
Mechanical engineering
Computer science
Engineering, computing & technology: Multidisciplinary, general & others
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Funding text :
This study was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No 811099 , the Marie Skodowska-Curie, Luxembourg grant agreement No. 764644 , and the FNR Project No. C20/MS/14782078/QuaC. JL would like to acknowledge the support from EU Horizon 2020 Marie Skodowska Curie Individual Fellowship MOrPhEM under Grant 800150 . The medical images used in the present study were obtained at Hopital Arnaud de Villeneuve, Département de Gynécologie Obstétrique in collaboration with Dr. Gauthier Rathat, Prof. Guillaume Captier, and AnatoScope. The authors would like to thank Synopsys for its support in providing access to the Simpleware software to generate the meshes used in this project, and RX-Solutions for their support and answers about the machine settings that were used. Last, the authors sincerely thank the person who donated her body to science so that anatomical research could be performed.This study was supported by the European Union's Horizon 2020 research and innovation program under grant agreement No 811099, the Marie Skodowska-Curie, Luxembourg grant agreement No. 764644, and the FNR Project No. C20/MS/14782078/QuaC. JL would like to acknowledge the support from EU Horizon 2020 Marie Skodowska Curie Individual Fellowship MOrPhEM under Grant 800150. The medical images used in the present study were obtained at Hopital Arnaud de Villeneuve, Département de Gynécologie Obstétrique in collaboration with Dr. Gauthier Rathat, Prof. Guillaume Captier, and AnatoScope. The authors would like to thank Synopsys for its support in providing access to the Simpleware software to generate the meshes used in this project, and RX-Solutions for their support and answers about the machine settings that were used. Last, the authors sincerely thank the person who donated her body to science so that anatomical research could be performed.
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