Simulation of pneumoperitoneum for laparoscopic surgery planning

J. Bano, A. Hostettler, S. A. Nicolau, S. Cotin, C. Doignon, H. S. Wu, M. H. Huang, L. Soler, J. Marescaux

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    26 Citations (Scopus)


    Laparoscopic surgery planning is usually realized on a preoperative image that does not correspond to the operating room conditions. Indeed, the patient undergoes gas insufflation (pneumoperitoneum) to allow instrument manipulation inside the abdomen. This insufflation moves the skin and the viscera so that their positions do no longer correspond to the preoperative image, reducing the benefit of surgical planning, more particularly for the trocar positioning step. A simulation of the pneumoperitoneum influence would thus improve the realism and the quality of the surgical planning. We present in this paper a method to simulate the movement of skin and viscera due to the pneumoperitoneum. Our method requires a segmented preoperative 3D medical image associated to realistic biomechanical parameters only. The simulation is performed using the SOFA simulation engine. The results were evaluated using computed tomography [CT] images of two pigs, before and after pneumoperitoneum. Results show that our method provides a very realistic estimation of skin, viscera and artery positions with an average error within 1 cm.

    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
    EditorsNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
    PublisherSpringer Verlag
    Number of pages8
    ISBN (Print)9783642334146
    Publication statusPublished - 2012
    Event15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
    Duration: Oct 1 2012Oct 5 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7510 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)


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