Please use this identifier to cite or link to this item: https://doi.org/10.1097/01.scs.0000180009.75857.81
Title: Automatic hole repairing for cranioplasty using Bézier surface approximation
Authors: Sing, C.C.
Pueh, L.H. 
Kumar, A.S. 
Issue Date: Nov-2005
Source: Sing, C.C., Pueh, L.H., Kumar, A.S. (2005-11). Automatic hole repairing for cranioplasty using Bézier surface approximation. Journal of Craniofacial Surgery 16 (6) : 1076-1084. ScholarBank@NUS Repository. https://doi.org/10.1097/01.scs.0000180009.75857.81
Abstract: Cranioplasty is the procedure that repairs holes or defects in the skull with cranial implants. When the bone from the hole is missing, damaged, or infected, the defect needs to be covered with an artificial plate to protect the brain. In this study, a hole-repairing algorithm is developed to aid shaping artificial plates for cranioplasty by describing a method for filling holes in defective biomodels with unstructured triangular surface meshes or in stereolithography format. The resulting patching meshes interpolate the shape and density of the surrounding mesh. The steps in repairing a hole include hole identification, hole triangulations using genetic algorithm (GA) optimization, and a customized advancing-front meshing technique using surface approximations based on a Quartic Bézier Gregory patch.
Source Title: Journal of Craniofacial Surgery
URI: http://scholarbank.nus.edu.sg/handle/10635/59607
ISSN: 10492275
DOI: 10.1097/01.scs.0000180009.75857.81
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