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Skull defect reconstruction based on a new hybrid level set

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Zhang, Ziqun; | Zhang, Ran; | Song, Zhijian; ;

Affiliations: Digital Medical Research Centre, Fudan University, Shanghai, China | Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI), Shanghai, China

Note: [] Corresponding author: Zhijian Song, Digital Medical Research Centre, Fudan University, Shanghai, China. Tel.: +8621 54237181; Fax: +8621 54237797; E-mail: [email protected].

Keywords: Skull defect, image segmentation, level set method, rapid prototyping

DOI: 10.3233/BME-141157

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3343-3351, 2014

Published: 2014
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Abstract

Skull defect reconstruction is an important aspect of surgical repair. Historically, a skull defect prosthesis was created by the mirroring technique, surface fitting, or formed templates. These methods are not based on the anatomy of the individual patient's skull, and therefore, the prosthesis cannot precisely correct the defect. This study presented a new hybrid level set model, taking into account both the global optimization region information and the local accuracy edge information, while avoiding re-initialization during the evolution of the level set function. Based on the new method, a skull defect was reconstructed, and the skull prosthesis was produced by rapid prototyping technology. This resulted in a skull defect prosthesis that well matched the skull defect with excellent individual adaptation.

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