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Interactive surgery simulation for the nose augmentation using CT data

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Abstract

Surgery to reshape the nose with an implant has been a regular procedure for enhancing a patient’s appearance and self-confidence. The purpose of this study was to establish a computed tomography (CT) based three-dimensional assistant plastic surgery systems, which can provide the patients with realistic prediction of their own postoperative appearance in computer and specifically produce a nose implant for an individual patient. Preoperative CT data and 3D reconstruction techniques were employed to generate 3D model of the patient’s skull. 3D collision detection and finite elements model deformation were then applied to simulate nose augmentation surgery and predict postoperative appearance. According to the patient’s expectation, digital models of the nose implants were constantly modified. When the patient is satisfied with the simulated results, custom made silicone implants were produced by a computer controlled device. Accurately regeneration of 3D images and realistic operative simulations could be achieved with this system. The implants produced exactly conformed to the results of simulation. No curving and reshaping were needed during operating. The clinical results extremely matched with the simulations. The system enhances surgeon patient communication and facilitates preoperative planning. It is especially desirable for implant surgery with less guesswork of size, contour, and orientation of the implant. The best chance of optimal results could be achieved.

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Acknowledgments

This work was partly supported by the Programme de Recherches Avancées de Coopérations Franco-Chinoises (PRA SI 03-03) and the Region Rhône-Alpes of France within the project “MIRA Recherche 2003”.

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Authors and Affiliations

  1. The Methodist Hospital Research Institute, Cornell University, Houston, TX, 77030, USA

    Kai Xie

  2. CREATIS, CNRS Research Unit 5515, INSERM Unit 630, 69621, Villeurbanne, France

    Y. M. Zhu

Authors
  1. Kai Xie
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  2. Y. M. Zhu
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Correspondence to Kai Xie.

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Xie, K., Zhu, Y.M. Interactive surgery simulation for the nose augmentation using CT data. Neural Comput & Applic 19, 61–65 (2010). https://doi.org/10.1007/s00521-009-0245-3

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  • DOI: https://doi.org/10.1007/s00521-009-0245-3

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