In collaboration with the Department of Plastic Pediatric Surgery and the
Dept. of Plastic Surgery, Burns and Wound Healing of the University Hospital
Lapyeronie of Montpellier, France
The aim of this project is to build a 3D geometric and mechanical model of the skin/subcutaneous complex (SSC) which could be adapted to the different
parts of the body and to the morphological parameters of the patient. In a first time, a 3 Tesla Magnetic Resonance Imaging study on subcutaneous tissue showed the existence of a common pattern of organization of the SSC in the various parts of the body studied [1]. Three-dimensional reconstructions were obtained by post-processing the MRI images and give parameters which are related to the different localizations and morphologies of the human body. Then, we proposed a three-dimensional geometrical and biomechanical model which combines volume, membranous and unidimensional models [2]. This model is adjusted to the studied human body by using the measured parameters. The complex internal structure composed of fat lobules is automatically created by an innovative procedural process. We performed several preliminary experiments which show how that this hybrid method realistically models some geometrical and physical behaviors as the phenomenon of cellulite. We plan to use this method for
simulation and planning of fat injection surgical procedures.
[1] C. Herlin, A. Chica-Rosa, G. Subsol, B. Gilles, F. Macri, J.P. Beregi, G. Captier.
"Three-dimensional study of the
skin/subcutaneous complex using in vivo whole body 3 Tesla MRI: review of the literature and
confirmation of a generic pattern of organisation".
Surgical and Radiologic Anatomy, Vol. 37, Issue 7, p. 731-741, September 2015.
[2] C. Herlin, B. Gilles, G. Subsol, G. Captier.
"Generic 3D Geometrical and Mechanical Modeling of the Skin/Subcutaneous Complex by a Procedural
Hybrid Method".
6th International Symposium on Biomedical Simulation, Lecture Notes in Computer Science 8789, p. 173-181, Springer, Strasbourg (France), October 2014. Best Paper Award.