作者: Balvinder Khambay , Jean-Christophe Nebel , Ashraf Ayoub , Janet Bowman , Fraser Walker
DOI:
关键词: Computer vision 、 Face (geometry) 、 Surgery 、 Iterative closest point 、 Procrustes analysis 、 Spiral 、 Orthognathic surgery 、 Medicine 、 Photogrammetry 、 Tomography 、 Superimposition 、 Artificial intelligence
摘要: The aim of this study was to register and assess the accuracy superimposition method a 3-dimensional (3D) soft tissue stereophotogrammetric image (C3D image) 3D underlying skeletal acquired by spiral computerized tomography (CT). conducted on model head, in which an intact human skull embedded with overlying latex mask that reproduced anatomic features face. Ten artificial radiopaque landmarks were secured surface mask. A CT head captured. C3D images registered for 3 different methods: Procrustes using landmarks, analysis partial then registration completion HICP (a modified Iterative Closest Point algorithm) specified region both images. results showed produced error order 10 mm. 2 Partial followed between 1.25 1.5 It concluded scan can be superimposed mm based HICP.