Towards a better understanding of pelvic system disorders using numerical simulation

Pauline Lecomte-Grosbras 1 Mouhamadou Nassirou - Diallo 1 Jean-François Witz 1, 2 Damien Marchal 3 Jérémie Dequidt 4 Stéphane Cotin 4 Michel Cosson 5 Christian Duriez 4 Mathias Brieu 1
1 LML - Laboratoire de Mécanique de Lille - FRE 3723
2 LMT - Laboratoire de Mécanique et Technologie
3 LIFL - Laboratoire d'Informatique Fondamentale de Lille
4 SHACRA - Simulation in Healthcare using Computer Research Advances
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, Inria Nancy - Grand Est
5 Service de gynécologie obstétrique
Abstract : Genital prolapse is a pathologic hyper-mobility of the organs that forms the pelvic system. Although this is common condition, the pathophysiology of this disorder is not well known. In order to improve the understanding of its origins, we recreate - virtually - this biomechanical pathology using numerical simulation. The approach builds on a finite element model with parameters measured on several fresh cadavers. The meshes are created from a MRI of a healthy woman and the simulation includes the mechanical interactions between organs (contacts, ligaments, adhesion...). The model is validated through comparison of functional mobilities of the pelvic system observed on a dynamic MRI. We then propose to modify, step by step, the model and its parameters to produce a pathologic situation and have a better understanding of the process. It is not a formal proof but the numerical experiments reinforce the clinical hypothesis on the multifactorial origins of the pathology.
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Communication dans un congrès
Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. 2013
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Dernière modification le : vendredi 23 novembre 2018 - 08:55:24
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Pauline Lecomte-Grosbras, Mouhamadou Nassirou - Diallo, Jean-François Witz, Damien Marchal, Jérémie Dequidt, et al.. Towards a better understanding of pelvic system disorders using numerical simulation. Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. 2013. 〈hal-00831245〉

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