Generating a 3D Normative Infant Cranial Model

Binhang Yuan, Ronald N. Goldman, Eric Wang, Olushola Olorunnipa, David Khechoyan

Abstract: We describe an algorithm to generate a normative infant cranial model from the input of 3D meshes that are extracted from CT scans of normal infant skulls. We generate a correspondence map between meshes based on a registration algorithm. Then we apply our averaging algorithm to construct the normative model. The goal of this normal model is to assist an objective evaluating system to analyze the efficacy of plastic surgeries.