title: Skull defect reconstruction based on a new hybrid level set.
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.
authors.affiliation: Digital Medical Research Centre, Fudan University, Shanghai, China Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI), Shanghai, China.
authors.forename: Ziqun
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Digital Medical Research Centre, Fudan University, Shanghai, China Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI), Shanghai, China.
authors.forename: Ran
authors.initials: R
authors.lastname: Zhang
authors.affiliation: Digital Medical Research Centre, Fudan University, Shanghai, China Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI), Shanghai, China.
authors.forename: Zhijian
authors.initials: Z
authors.lastname: Song
mesh_terms: D000328:Adult; D000465:Algorithms; D017076:Computer-Aided Design; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019736:Prostheses and Implants; D017755:Prosthesis Fitting / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012886:Skull / Q000002:abnormalities / Q000000981:diagnostic imaging* / Q000601:surgery*; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Skull defect; image segmentation; level set method; rapid prototyping