Reference : A rigged model of the breast for preoperative surgical planning
Scientific journals : Article
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/47407
A rigged model of the breast for preoperative surgical planning
English
Mazier, Arnaud mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Ribes, Sophie []
Gilles, Benjamin []
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
4-Aug-2021
Journal of Biomechanics
Elsevier
128
110645
Yes (verified by ORBilu)
International
0021-9290
New York
Netherlands
[en] Surgical planning ; model-based registration ; animation ; anatomical variability ; breast
[en] In breast surgical practice, drawing is part of the preoperative planning procedure and is essential for a successful operation. In this study, we design a pipeline to assist surgeons with patient-specific breast surgical drawings. We use a deformable torso model containing the surgical patterns to match any breast surface scan. To be compatible with surgical timing, we build an articulated model through a skinning process coupled with shape deformers to enhance a fast registration process. On one hand, the scalable bones of the skinning account for pose and morphological variations of the patients. On the other hand, pre-designed artistic blendshapes create a linear space for guaranteeing anatomical variations. Then, we apply meaningful constraints to the model to find a trade-off between precision and speed. The experiments were conducted on 7 patients, in 2 different poses (prone and supine) with a breast size ranging from 36A and 42C (US/UK bra sizing). The acquisitions were obtained using the depth camera Structure Sensor, and the breast scans were acquired in less than 1 minute. The result is a registration method converging within a few seconds (3 maximum), reaching a Mean Absolute Error of 2.3 mm for mesh registration and 8.0 mm for breast anatomical landmarks. Compared to the existing literature, our model can be personalized and does not require any database. Finally, our registered model can be used to transfer surgical reference patterns onto any patient in any position.
Researchers
http://hdl.handle.net/10993/47407
10.1016/j.jbiomech.2021.110645
https://www.sciencedirect.com/science/article/pii/S0021929021004140?via%3Dihub
This study was supported by the European Union’s Horizon 2020
research and innovation program under grant agreement No 811099 and the Marie Sklodowska-Curie, Luxembourg grant agreement No. 764644. The medical images used in the present study were obtained from Hopital Arnaud de Villeneuve, Département de Gynécologie Ob- stétrique in collaboration with Dr. Gauthier Rathat. The authors would like to acknowledge Dr. Romain Testylier for his geometric modelling of the rig and blendshapes, Dr. Frédéric Van Meer and Pr. François Faure for interesting discussions and their support. Finally, the authors would like to thank Dr. Jack S. Hale and Christina Phung for proofreading the manuscript.
H2020 ; 764644 - RAINBOW - Rapid Biomechanics Simulation for Personalized Clinical Design

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