@inbook{a19644f0be3d459c9e486d56cb3acef8,
title = "Automated three-piece digital dental articulation",
abstract = "In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmentalized into 3 pieces, a common procedure in CMF surgery. In this paper, we present a novel midlineguided occlusal optimization (MGO) approach to automatically and efficiently reestablish dental occlusion for 3-piece maxillary surgery. Our MGO approach consists of 2 main steps. The anterior segment of the maxilla is first aligned to the intact mandible using our ergodic midline-match algorithm. The right and left posterior segments are then aligned to the mandible in sequence using an improved iterative surface-based minimum distance mapping algorithm. Our method has been validated using 15 sets of digital dental models. The results showed our algorithm-generated 3-piece articulation is more efficient and effective than the current standard of care method. The results demonstrated our approach{\textquoteright}s significant clinical impact and technical contributions.",
author = "Jianfu Li and Flavio Ferraz and Shunyao Shen and Lo, {Yi Fang} and Xiaoyan Zhang and Peng Yuan and Zhen Tang and Chen, {Ken Chung} and Jaime Gateno and Xiaobo Zhou and Xia, {James J.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.",
year = "2015",
doi = "10.1007/978-3-319-24553-9_60",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "488--496",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}