Please use this identifier to cite or link to this item: https://doi.org/10.1097/00001665-200603000-00024
Title: Automatic hole repairing for Cranioplasty using Bézier surface approximation
Authors: Chong, C.S.
Lee, H. 
Kumar, A.S.
Keywords: Cranioplasty
Genetic
Hole filling
Issue Date: Mar-2006
Source: Chong, C.S., Lee, H., Kumar, A.S. (2006-03). Automatic hole repairing for Cranioplasty using Bézier surface approximation. Journal of Craniofacial Surgery 17 (2) : 344-352. ScholarBank@NUS Repository. https://doi.org/10.1097/00001665-200603000-00024
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 paper, a hole-repairing algorithm is developed to aid in shaping artificial plates for Cranioplasty, by describing a method for filling holes in defective biomodels with unstructured triangular surface meshes or in stereo-lithography 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 optimization, and a customized advancing-front meshing technique using surface approximations based on a Quartic Bézier patch/surface. Copyright © 2006 Mutaz B. Habal, MD.
Source Title: Journal of Craniofacial Surgery
URI: http://scholarbank.nus.edu.sg/handle/10635/59608
ISSN: 10492275
DOI: 10.1097/00001665-200603000-00024
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