An Interactive 3D Preoperative Planning and Training System for Minimally Invasive Vascular Surgery

Dongjin Huang, Wen Tang, Youdong Ding, Taoruan Wan, Yimin Chen

    Research output: Contribution to conferencePaper

    Abstract

    Virtual reality based preoperative planning for Minimally Invasive Vascular Intervention is useful, not only for increasing the success rate of operation, but also used as a training tool for improving doctors' skills. In this paper we present an interactive 3D preoperative planning and training system with haptic device. In this system, we present an intelligent trajectory planning algorithm for searching an optimal path automatically along the centerline in two ways: from the suitable inserting point to the specific target location or to the most of objectives. Also, for the purpose of interactive training, we connect the haptic device to the end of guide wire and propose an algorithm that enables the simulator to model guide wire and catheter insertions realistically through essential operations i.e. pushing, pulling and twisting actions. We demonstrate experiment results to show that the 3D preoperative planning and training system is usable for simulating guide wire insertion procedures with complex blood vessel structures.
    Original languageEnglish
    Pages443-449
    DOIs
    Publication statusPublished - Sep 2011
    Event12th International Conference on Computer-Aided Design and Computer Graphics - Jinan, Colombia
    Duration: 15 Sep 201117 Sep 2011
    Conference number: 12

    Conference

    Conference12th International Conference on Computer-Aided Design and Computer Graphics
    Abbreviated titleCAD/Graphics
    CountryColombia
    CityJinan
    Period15/09/1117/09/11

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  • Cite this

    Huang, D., Tang, W., Ding, Y., Wan, T., & Chen, Y. (2011). An Interactive 3D Preoperative Planning and Training System for Minimally Invasive Vascular Surgery. 443-449. Paper presented at 12th International Conference on Computer-Aided Design and Computer Graphics, Jinan, Colombia. https://doi.org/10.1109/CAD/Graphics.2011.40